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\u7531\u4e8e FA-FAM \u5728\u5e27\u7ea7\u522b\u548c\u97f3\u9891\u7ea7\u522b\u5b8c\u6210\u5e27\u4f2a\u9020\u68c0\u6d4b，\u8bbe\u8ba1\u4e00\u4e2a\u4f18\u79c0\u7684\u5e27\u7ea7\u68c0\u6d4b\u65b9\u6cd5\u975e\u5e38\u91cd\u8981\u3002\u73b0\u6709\u7814\u7a76\u8868\u660e，\u4e0d\u540c\u7684\u97f3\u9891\u64cd\u4f5c\u6280\u672f\u8868\u73b0\u51fa\u4e0d\u540c\u7684\u4f2a\u9020\u7279\u5f81\u3002\u4f8b\u5982，\u5220\u9664\u67d0\u4e9b\u5e27\u53ef\u80fd\u8868\u73b0\u51fa\u4e0d\u81ea\u7136\u7684\u9891\u8c31\u8fc7\u6e21，\u800c\u62fc\u63a5\u7684\u7247\u6bb5\u901a\u5e38\u4f1a\u7834\u574f\u901a\u9053\u4e00\u81f4\u6027\u3002\u7136\u800c，\u4f20\u7edf\u7684\u68c0\u6d4b\u65b9\u6cd5\u901a\u5e38\u4f9d\u8d56 CNN \u6216\u52a8\u6001\u6c60\u5316\u6765\u7c97\u7565\u5730\u533a\u5206\u771f\u5b9e\u5e27\u548c\u4f2a\u9020\u5e27\u3002\u8fd9\u7c7b\u65b9\u6cd5\u7edf\u4e00\u5bf9\u5f85\u6240\u6709\u7279\u5f81\u7ef4\u5ea6，\u56e0\u6b64\u5ffd\u7565\u4e86\u4e0d\u540c\u64cd\u4f5c\u6280\u672f\u5f15\u5165\u7684\u591a\u6837\u5316\u5f02\u5e38\u6a21\u5f0f\u3002<\/p>\n

\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898，FFA \u6cbf\u7740\u901a\u9053\u548c\u9891\u8c31\u7ef4\u5ea6\u6784\u5efa\u4e86\u4e00\u7ec4\u4f2a\u9020\u611f\u77e5\u6838\u5fc3\u5411\u91cf（"\u6838\u5fc3"），\u5176\u4e2d\u6bcf\u4e2a\u6838\u5fc3\u65e8\u5728\u6355\u6349\u4e0d\u540c\u7be1\u6539\u6a21\u5f0f\u7684\u5173\u952e\u8868\u793a\u3002\u53d7 STAR \u805a\u5408\u673a\u5236\u7684\u542f\u53d1，\u6211\u4eec\u4f7f\u7528\u4e00\u4e2a\u805a\u5408\u7b97\u5b50\u6765\u5b9e\u4f8b\u5316\u8fd9\u4e9b\u6838\u5fc3\u3002<\/p>\n

\u5177\u4f53\u6765\u8bf4，\u7ed9\u5b9a\u4ece\u6211\u4eec\u7684\u7279\u5f81\u7f16\u7801\u5668\u63d0\u53d6\u7684\u5e27\u7ea7\u7279\u5f81\u56fe s \u2208 \u211d^(C\u00d7T\u00d7S)，\u6211\u4eec\u5206\u522b\u4e3a\u901a\u9053\u548c\u9891\u8c31\u4fe1\u606f\u5bfc\u51fa\u7ef4\u5ea6\u7279\u5b9a\u7684\u6295\u5f71 s_c \u2208 \u211d^(C\u00d7T) \u548c s_s \u2208 \u211d^(S\u00d7T)\u3002\u5728\u6bcf\u4e2a\u7ef4\u5ea6\u5185，\u6211\u4eec\u6784\u5efa n \u4e2a\u4f2a\u9020\u611f\u77e5\u6838\u5fc3 {o_j}_{j=1}^n，\u5b83\u4eec\u5171\u540c\u62df\u5408\u591a\u6837\u5316\u7684\u4f2a\u9020\u6a21\u5f0f\u3002\u6838\u5fc3\u8868\u793a o_j \u662f\u7531\u4efb\u610f\u51fd\u6570 f \u751f\u6210\u7684\u5411\u91cf，\u5f62\u5f0f\u5982\u4e0b：<\/p>\n

o_j = f( x_1, x_2, \u2026, x_N ), (1)<\/p>\n

\u5176\u4e2d x_1, x_2, \u2026, x_N \u662f\u4e00\u4e2a\u5177\u6709 N \u4e2a\u901a\u9053\u6216\u9891\u8c31\u7bb1\u7684\u591a\u5143\u5e8f\u5217\u3002<\/p>\n

\u7531\u4e8e\u4f2a\u9020\u5f02\u5e38\u53ef\u80fd\u4e0d\u4f1a\u5728 N \u4e2a\u7ef4\u5ea6\u4e0a\u5747\u5300\u8868\u793a，\u6211\u4eec\u8bbe\u8ba1\u4e86\u4e00\u4e2a\u5f02\u5e38\u95e8\u63a7\u611f\u77e5\u673a\u5236，\u8be5\u673a\u5236\u81ea\u9002\u5e94\u5730\u9884\u6d4b\u6bcf\u4e2a\u7ef4\u5ea6\u5728\u6784\u5efa\u6838\u5fc3\u65f6\u7684\u6743\u91cd，\u4ece\u800c\u5f3a\u8c03\u6f5c\u5728\u7684\u865a\u5047\u5f02\u5e38，\u540c\u65f6\u6291\u5236\u6b63\u5e38\u7684\u58f0\u5b66\u6a21\u5f0f\u3002\u4e3a\u4e86\u83b7\u5f97\u8fd9\u6837\u7684\u8868\u793a，\u6211\u4eec\u91c7\u7528\u4ee5\u4e0b\u5f62\u5f0f：<\/p>\n

o_j = Stoch_Pool_j( MLP_1( G \u2299 X ) ), j = 1, \u2026, n (2)<\/p>\n

\u5176\u4e2d X \u4ee3\u8868 s_c \u6216 s_s，\u2299 \u8868\u793a\u9010\u5143\u7d20\u4e58\u6cd5，G \u662f\u5f02\u5e38\u95e8\u63a7\u611f\u77e5\u673a\u5236，Stoch_Pool_j \u662f\u4e00\u4e2a\u968f\u673a\u6c60\u5316\u64cd\u4f5c\u3002<\/p>\n

\u968f\u540e，\u6bcf\u4e2a\u5355\u5143 x_i \u901a\u8fc7\u62fc\u63a5\u6240\u6709\u6838\u5fc3 {o_j}_{j=1}^n \u5f97\u5230\u589e\u5f3a：<\/p>\n

x'_i = MLP( [x_i \u2016 o_1 \u2016 \u2026 \u2225 o_n] ) + x_i, (3)<\/p>\n

\u8fd9\u91cc，MLP \u7528\u4e8e\u878d\u5408\u62fc\u63a5\u540e\u7684\u8868\u793a\u5e76\u5c06\u5176\u6295\u5f71\u56de\u9690\u85cf\u7ef4\u5ea6\u3002\u50cf\u8bb8\u591a\u5176\u4ed6\u6a21\u5757\u4e00\u6837，\u6211\u4eec\u4e5f\u6dfb\u52a0\u4e86\u4ece\u8f93\u5165\u5230\u8f93\u51fa\u7684\u6b8b\u5dee\u8fde\u63a5\u3002\u6700\u540e，\u6211\u4eec\u901a\u8fc7\u4e00\u4e2a\u53ef\u5b66\u4e60\u7684\u8f6f\u95e8\u63a7\u673a\u5236\u81ea\u9002\u5e94\u5730\u96c6\u6210\u589e\u5f3a\u540e\u7684\u901a\u9053\u548c\u9891\u8c31\u8868\u793a，\u8be5\u673a\u5236\u53ef\u4ee5\u786e\u5b9a\u6bcf\u4e2a\u7ef4\u5ea6\u7684\u76f8\u5bf9\u8d21\u732e\u3002<\/p>\n

\u97f3\u9891\u7ea7\u7279\u5f81\u805a\u5408<\/p>\n

\u4e3a\u4e86\u6355\u6349\u5168\u5c40\u4e0d\u4e00\u81f4\u6027，\u6211\u4eec\u5f15\u5165\u4e86\u97f3\u9891\u7ea7\u7279\u5f81\u805a\u5408（AFA）\u3002\u867d\u7136 AFA \u91c7\u7528\u4e86\u4e0e FFA \u76f8\u540c\u7684\u7279\u5f81\u805a\u5408\u539f\u7406，\u4f46\u5b83\u6cbf\u7740\u65f6\u95f4\u7ef4\u5ea6\u64cd\u4f5c，\u5e76\u91c7\u7528\u5168\u5c40\u6ce8\u610f\u529b\u673a\u5236\u6765\u5efa\u6a21\u6bcf\u4e2a\u5e27\u4e0e\u97f3\u9891\u4e2d\u6240\u6709\u5176\u4ed6\u5e27\u4e4b\u95f4\u7684\u4f9d\u8d56\u5173\u7cfb\u3002<\/p>\n

\u5177\u4f53\u6765\u8bf4，\u7ed9\u5b9a\u6765\u81ea FFA \u7684\u8f93\u5165\u5e8f\u5217 X \u2208 \u211d^(T\u00d7C)，AFA \u5e94\u7528\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u6ce8\u610f\u529b\u7f16\u7801\u5668\u6765\u8ba1\u7b97\u6bcf\u4e2a\u5e27\u7684\u5f52\u4e00\u5316\u6743\u91cd \u03b1：<\/p>\n

\u03b1 = softmax( E_att( X ) ), (4)<\/p>\n

\u4f7f\u7528\u8fd9\u4e9b\u6743\u91cd，\u6211\u4eec\u901a\u8fc7\u5bf9\u5e8f\u5217\u8fdb\u884c\u52a0\u6743\u548c\u6765\u5bfc\u51fa\u4e00\u4e2a\u5168\u5c40\u4e0a\u4e0b\u6587\u5411\u91cf：<\/p>\n

x_attn = \u2211_{t=1}^T \u03b1_t \u22c5 X_t, (5)<\/p>\n

\u8be5\u5411\u91cf\u968f\u540e\u901a\u8fc7\u4e00\u4e2a MLP \u6295\u5f71\u4ee5\u4ea7\u751f\u5168\u5c40\u6838\u5fc3\u8868\u793a：<\/p>\n

o_g = MLP( x_attn ) \u2208 \u211d^d', g = 1, \u2026, n (6)<\/p>\n

\u5f97\u5230\u7684\u5168\u5c40\u6838\u5fc3\u901a\u8fc7\u95e8\u63a7\u6b8b\u5dee\u8fde\u63a5\u4e0e\u539f\u59cb\u8f93\u5165\u878d\u5408，\u589e\u5f3a\u4e86\u6a21\u578b\u6355\u6349\u97f3\u9891\u7ea7\u4f2a\u9020\u6a21\u5f0f\u7684\u80fd\u529b\u3002<\/p>\n

\u6bb5\u7ea7\u591a\u5c3a\u5ea6\u5dee\u5f02\u611f\u77e5\u6a21\u5757<\/p>\n

\u5728\u5b8c\u6210\u5355\u4e2a\u5e27\u7684\u4f2a\u9020\u68c0\u6d4b\u540e，\u5148\u524d\u7684\u65b9\u6cd5\u901a\u5e38\u751f\u6210\u9010\u5e27\u4f2a\u9020\u9884\u6d4b\u5206\u6570，\u5e76\u5c06\u5176\u76f4\u63a5\u8f93\u5165\u89e3\u7801\u5668\u8fdb\u884c TFL \u4efb\u52a1\u3002\u7136\u800c，\u4ec5\u4f9d\u8d56\u5e27\u4f2a\u9020\u68c0\u6d4b\u901a\u5e38\u4f1a\u5bfc\u81f4\u5b64\u7acb\u7684\u8bef\u62a5\u9884\u6d4b\u3002\u867d\u7136\u8fd9\u4e9b\u5206\u6563\u7684\u9519\u8bef\u5bf9 PFD \u6027\u80fd\u6307\u6807\u5f71\u54cd\u6700\u5c0f，\u4f46\u5b83\u4eec\u4e25\u91cd\u963b\u788d\u4e86\u5728 TFL \u671f\u95f4\u5f62\u6210\u8fde\u8d2f\u7684\u4f2a\u9020\u533a\u95f4，\u5bfc\u81f4\u591a\u4e2a\u6301\u7eed\u65f6\u95f4\u6781\u77ed\u7684\u9519\u8bef\u5b9a\u4f4d\u7247\u6bb5\u3002\u4e3a\u4e86\u8865\u5145 FA-FAM \u5e76\u8fdb\u4e00\u6b65\u63d0\u9ad8\u5e27\u4f2a\u9020\u68c0\u6d4b\u7684\u53ef\u9760\u6027，\u6211\u4eec\u5f15\u5165\u4e86\u6bb5\u7ea7\u591a\u5c3a\u5ea6\u5dee\u5f02\u611f\u77e5\u6a21\u5757（SMDAM）\u3002SMDAM \u4e0d\u76f4\u63a5\u5bf9\u6bcf\u4e2a\u5e27\u8fdb\u884c\u5206\u7c7b，\u800c\u662f\u4e13\u6ce8\u4e8e\u8bc6\u522b\u771f\u5b9e\u7247\u6bb5\u548c\u4f2a\u9020\u7247\u6bb5\u4e4b\u95f4\u7684\u65f6\u95f4\u8fb9\u754c，\u4f5c\u4e3a\u7ec6\u5316\u5e27\u9884\u6d4b\u7684\u8865\u5145\u4fe1\u53f7\u3002<\/p>\n

\u5f62\u5f0f\u4e0a，\u7ed9\u5b9a\u7279\u5f81\u5e8f\u5217 F = {f_t}_{t=1}^T，\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u7ec4\u4ee5\u6bcf\u4e2a\u65f6\u95f4\u6b65\u4e3a\u4e2d\u5fc3\u3001\u5177\u6709\u4e0d\u540c\u534a\u5f84 {k} \u7684\u65f6\u95f4\u7a97\u53e3\u3002\u5bf9\u4e8e\u6bcf\u4e2a\u5c3a\u5ea6 k，\u6211\u4eec\u5e94\u7528\u5c40\u90e8\u81ea\u6ce8\u610f\u529b\u6765\u6355\u6349\u4e0a\u4e0b\u6587\u4e0d\u4e00\u81f4\u6027：<\/p>\n

f\u0303t^(k) = Attn^(k)( 𝒩k( f_t ) ), (7)<\/p>\n

\u5176\u4e2d 𝒩_k( f_t ) \u8868\u793a\u534a\u5f84\u4e3a k \u7684\u5e27 t \u7684\u65f6\u95f4\u90bb\u57df\u3002\u8fd9\u79cd\u591a\u5c3a\u5ea6\u8bbe\u8ba1\u5141\u8bb8\u6a21\u5757\u68c0\u6d4b\u53d1\u751f\u5728\u4e0d\u540c\u65f6\u95f4\u8de8\u5ea6\u7684\u8fb9\u754c\u8fc7\u6e21\u3002<\/p>\n

\u4e3a\u4e86\u8fdb\u4e00\u6b65\u7a81\u51fa\u65f6\u95f4\u53d8\u5316，\u6211\u4eec\u5f15\u5165\u4e86\u4e00\u4e2a\u5728\u5e27\u95f4\u5dee\u5f02\u4e0a\u64cd\u4f5c\u7684\u5206\u652f：<\/p>\n

\u03b4_t = f{t+1} \u2212 f_t, \u03b4\u0303t^(k) = Attn^(k)( 𝒩_k( \u03b4_t ) ). (8)<\/p>\n

\u539f\u59cb\u7279\u5f81\u5206\u652f f\u0303t^(k) \u6355\u6349\u7edd\u5bf9\u4e0d\u4e00\u81f4\u6027，\u800c\u5dee\u5f02\u5206\u652f \u03b4\u0303t^(k) \u663e\u5f0f\u5730\u5efa\u6a21\u7a81\u53d8\u3002\u5b83\u4eec\u7684\u8f93\u51fa\u901a\u8fc7\u95e8\u63a7\u96c6\u6210\u8fdb\u884c\u878d\u5408：<\/p>\n

F_b = G \u22c5 \u03b4\u0303t^(k) + (1 \u2212 G) \u22c5 f\u0303t^(k), (9)<\/p>\n

\u5176\u4e2d\u95e8\u63a7 G \u662f\u901a\u8fc7\u4f7f\u7528 sigmoid \u6fc0\u6d3b\u7684\u7ebf\u6027\u5c42\u4ece\u62fc\u63a5\u7684\u7279\u5f81\u4e2d\u9884\u6d4b\u5f97\u5230\u7684\u3002<\/p>\n

\u6700\u540e，\u4e00\u4e2a\u5168\u8fde\u63a5\u5c42\u5c06\u878d\u5408\u540e\u7684\u7279\u5f81\u8f6c\u6362\u4e3a\u8fb9\u754c\u6982\u7387\u5206\u6570 \u0176b = {\u0177b1, \u0177b2, \u2026, \u0177bT}，\u8fd9\u4e9b\u5206\u6570\u8868\u793a\u6bcf\u4e2a\u5e27\u4f5c\u4e3a\u771f\u5b9e\u7247\u6bb5\u548c\u4f2a\u9020\u7247\u6bb5\u4e4b\u95f4\u8fb9\u754c\u7684\u53ef\u80fd\u6027\u3002<\/p>\n

\u7279\u5f81\u878d\u5408\u548c\u89e3\u7801\u5668<\/p>\n

\u4e3a\u4e86\u5145\u5206\u5229\u7528\u6765\u81ea FA\u2011FAM \u548c SMDAM \u7684\u4e92\u8865\u4fe1\u606f，\u6211\u4eec\u91c7\u7528\u4ea4\u53c9\u6ce8\u610f\u529b\u673a\u5236，\u5229\u7528\u8fb9\u754c\u611f\u77e5\u7ebf\u7d22\u6765\u589e\u5f3a\u4f2a\u9020\u611f\u77e5\u7279\u5f81\u3002\u7531\u4e8e\u8f93\u5165\u662f\u6392\u5217\u4e0d\u53d8\u7684，\u56e0\u6b64\u5c06\u4f4d\u7f6e\u7f16\u7801 PE(\u22c5) \u6dfb\u52a0\u5230\u4e24\u4e2a\u7279\u5f81\u5e8f\u5217\u4e2d\u4ee5\u7f16\u7801\u65f6\u95f4\u987a\u5e8f\u3002\u6211\u4eec\u9996\u5148\u8ba1\u7b97\u5e27\u4f2a\u9020\u7279\u5f81 F_FA \u548c\u8fb9\u754c\u68c0\u6d4b\u7279\u5f81 F_SMDAM \u4e4b\u95f4\u7684\u8fb9\u754c\u611f\u77e5\u76f8\u5173\u6027\u56fe M_attn\u3002\u8fd9\u662f\u901a\u8fc7\u5c06\u8f93\u5165\u6295\u5f71\u5230\u67e5\u8be2\u548c\u952e\u8868\u793a\u6765\u5b9e\u73b0\u7684：<\/p>\n

Q = W_q PE(F_FA), K = W_k PE(F_SMDAM), (10)<\/p>\n

\u5e76\u5bf9\u5b83\u4eec\u7684\u70b9\u79ef\u8fdb\u884c\u5f52\u4e00\u5316：<\/p>\n

M_attn = softmax( Q K^\u22a4 \/ \u221aC ), (11)<\/p>\n

\u4e3a\u4e86\u83b7\u5f97\u8fb9\u754c\u589e\u5f3a\u7684\u7279\u5f81，\u6211\u4eec\u4f7f\u7528 W_v \u5c06\u4f2a\u9020\u611f\u77e5\u7279\u5f81\u6295\u5f71\u5230\u503c\u7a7a\u95f4，\u5e76\u5e94\u7528\u6ce8\u610f\u529b\u56fe：<\/p>\n

V = W_v PE(F_FA), F_ca = M_attn V. (12)<\/p>\n

\u589e\u5f3a\u540e\u7684\u8868\u793a F_ca \u968f\u540e\u88ab\u6dfb\u52a0\u56de\u539f\u59cb\u7684\u4f2a\u9020\u611f\u77e5\u7279\u5f81，\u5e76\u901a\u8fc7\u4e00\u4e2a\u5e26\u6709\u5c42\u5f52\u4e00\u5316\u7684\u524d\u9988\u7f51\u7edc，\u751f\u6210\u878d\u5408\u7684\u8fb9\u754c\u611f\u77e5\u8868\u793a F_ba\u3002\u6700\u540e，\u6211\u4eec\u91c7\u7528\u57fa\u4e8e PRN \u7684\u89e3\u7801\u5668，\u5728\u591a\u4e2a\u65f6\u95f4\u5206\u8fa8\u7387\u4e0a\u9010\u6b65\u7ec6\u5316\u548c\u4e0b\u91c7\u6837\u878d\u5408\u7684\u7279\u5f81 F_ba\u3002\u89e3\u7801\u5668\u4ea7\u751f\u6bcf\u5e27\u4f2a\u9020\u6982\u7387\u5206\u6570 \u0176f = {\u01771^f, \u01772^f, \u2026, \u0177T^f}，\u5e76\u540c\u65f6\u5c06\u79bb\u6563\u7684\u5e27\u9884\u6d4b\u8f6c\u6362\u4e3a\u5177\u6709\u51c6\u786e\u8fb9\u754c\u5b9a\u4f4d\u7684\u8fde\u7eed\u4f2a\u9020\u533a\u95f4，\u7528\u4e8e TFL \u4efb\u52a1\u3002<\/p>\n

\u8bad\u7ec3\u4e0e\u63a8\u7406<\/p>\n

\u6211\u4eec\u7684\u6846\u67b6\u4f7f\u7528\u5e27\u635f\u5931\u3001\u8fb9\u754c\u635f\u5931\u548c\u5bf9\u6bd4\u635f\u5931\u8fdb\u884c\u4f18\u5316\u3002\u5e27\u635f\u5931\u76f4\u63a5\u76d1\u7763\u7531\u878d\u5408\u548c\u9884\u6d4b\u6a21\u5757\u4ea7\u751f\u7684\u5e27\u7ea7\u4f2a\u9020\u6982\u7387\u5206\u6570 \u0176f = {\u01771^f, \u01772^f, \u2026, \u0177T^f}\u3002\u6211\u4eec\u4f7f\u7528\u76f8\u5bf9\u4e8e\u771f\u5b9e\u6807\u7b7e Y_f \u7684 MSE \u635f\u5931：<\/p>\n

\u2112f = (1\/T) \u2211{t=1}^T MSE( \u0177_t^f, y_t^f ), (13)<\/p>\n

\u5176\u4e2d y_t^f \u2208 {0, 1} \u8868\u793a\u7b2c t \u5e27\u7684\u4f2a\u9020\u6807\u7b7e\u3002\u4e3a\u4e86\u663e\u5f0f\u5730\u76d1\u7763\u4f2a\u9020\u7247\u6bb5\u8fb9\u754c\u7684\u68c0\u6d4b，\u6211\u4eec\u5bf9 SMDAM \u9884\u6d4b\u7684\u8fb9\u754c\u6982\u7387\u5206\u6570 \u0176b = {\u0177b1, \u0177b2, \u2026, \u0177bT} \u5e94\u7528 MSE \u635f\u5931：<\/p>\n

\u2112b = (1\/T) \u2211{t=1}^T MSE( \u0177_t^b, y_t^b ), (14)<\/p>\n

\u5176\u4e2d y_t^b \u2208 {0, 1} \u662f\u771f\u5b9e\u7684\u8fb9\u754c\u6807\u7b7e\u3002\u4e3a\u4e86\u589e\u5f3a FA-FAM \u4e2d\u7684\u7279\u5f81\u533a\u5206\u6027，\u6211\u4eec\u91c7\u7528\u4e86\u4e00\u79cd\u5bf9\u6bd4\u635f\u5931，\u8be5\u635f\u5931\u9f13\u52b1\u6765\u81ea\u540c\u4e00\u7c7b\u7684\u5e27\u7684\u8868\u793a\u5728\u7279\u5f81\u7a7a\u95f4\u4e2d\u63a5\u8fd1，\u540c\u65f6\u63a8\u5f00\u6765\u81ea\u4e0d\u540c\u7c7b\u7684\u5e27\u7684\u8868\u793a\u3002\u5bf9\u4e8e\u7b2c j \u5bf9\u5e27，\u76f8\u4f3c\u6027\u5ea6\u91cf\u4e3a：<\/p>\n

SIM( f_a, f_b ) = (f_a^\u22a4 f_b) \/ ( ||f_a||2 ||f_b||2 ), (15)<\/p>\n

\u5bf9\u6bd4\u635f\u5931\u5b9a\u4e49\u4e3a：<\/p>\n

L_c = (1\/J) \u2211_{j=1}^J [ I_j (1 \u2212 SIM( f_j, f_j^+ ))^2 + (1 \u2212 I_j) max( 0, SIM(f_j, f_j^-) \u2212 \u03b1 )^2 ], (16)<\/p>\n

\u5176\u4e2d\u5982\u679c\u8be5\u5bf9\u6765\u81ea\u540c\u4e00\u7c7b\u5219 I_j=1，\u5426\u5219\u4e3a 0，\u03b1 \u662f\u4e00\u4e2a\u8fb9\u754c\u8d85\u53c2\u6570\u3002\u603b\u7684\u8bad\u7ec3\u76ee\u6807\u662f：<\/p>\n

\u2112 = \u03bb_1 \u2112f + \u03bb_2 \u2112b + \u03bb_3 \u2112_c, (17)<\/p>\n

\u5176\u4e2d \u03bb_1, \u03bb_2, \u03bb_3 \u5e73\u8861\u4e86\u4e09\u4e2a\u635f\u5931\u9879\u3002<\/p>\n

\u5728\u63a8\u7406\u8fc7\u7a0b\u4e2d，\u6211\u4eec\u9996\u5148\u4ece PRN \u89e3\u7801\u5668\u83b7\u53d6\u5e27\u4f2a\u9020\u6982\u7387\u5206\u6570\u548c\u8fde\u7eed\u4f2a\u9020\u533a\u95f4\u3002\u7136\u540e\u4f7f\u7528 Soft-NMS \u6280\u672f\u5bf9\u7ed3\u679c\u8fdb\u884c\u540e\u5904\u7406，\u4ee5\u6291\u5236\u88ab\u9884\u6d4b\u4e3a\u540c\u4e00\u7c7b\u522b\u4f46\u9ad8\u5ea6\u91cd\u53e0\u7684\u9884\u6d4b\u3002<\/p>\n

\u5b9e\u9a8c<\/p>\n

\u5b9e\u9a8c\u8bbe\u7f6e<\/p>\n

\u6570\u636e\u96c6\u3002\u200b \u6211\u4eec\u5728\u4e09\u4e2a\u516c\u5171\u6570\u636e\u96c6\u4e0a\u8bc4\u4f30\u6211\u4eec\u7684\u65b9\u6cd5：LAV-DF\u3001ASVS2019-PS（PS）\u548c HAD\u3002\u5176\u4e2d，PS \u5f15\u5165\u4e86\u591a\u4e2a\u5177\u6709\u4e0d\u540c\u64cd\u4f5c\u7c7b\u578b\u7684\u77ed\u4f2a\u9020\u8de8\u5ea6，\u5e26\u6765\u4e86\u66f4\u9ad8\u7684\u6311\u6218\u3002<\/p>\n

\u6bd4\u8f83\u65b9\u6cd5\u3002\u200b \u5bf9\u4e8e PFD，\u6211\u4eec\u5c06 T3-Tracer \u4e0e\u51e0\u79cd\u6700\u5148\u8fdb\u7684\u65b9\u6cd5\u8fdb\u884c\u6bd4\u8f83：PSDL\u3001IFBDN \u548c CFPRF\u3002\u5bf9\u4e8e TFL，\u6211\u4eec\u5305\u62ec\u4e86\u5355\u6a21\u6001\u65b9\u6cd5（PSDL, IFBDN, CFPRF）\u548c\u591a\u6a21\u6001\u65b9\u6cd5（BA-TFD, BA-TFD+, UMMAFormer），\u901a\u8fc7\u5728\u63a8\u7406\u65f6\u4ec5\u4f7f\u7528\u97f3\u9891\u8f93\u5165\u6765\u6a21\u62df\u5355\u6a21\u6001\u6027\u80fd\u3002<\/p>\n

\u8bc4\u4f30\u6307\u6807\u3002\u200b \u9075\u5faa CFPRF，\u6211\u4eec\u62a5\u544a\u4e86 PFD \u4efb\u52a1\u7684\u7b49\u9519\u8bef\u7387（EER）\u3001\u66f2\u7ebf\u4e0b\u9762\u79ef（AUC）\u3001\u5047\u9634\u6027\u7387（FNR）\u3001\u5047\u9633\u6027\u7387（FPR）\u548c F1 \u5206\u6570\u3002\u5bf9\u4e8e TFL，\u6211\u4eec\u8ba1\u7b97\u5728\u65f6\u95f4 IoU \u9608\u503c {0.5, 0.75, 0.9, 0.95} \u4e0b\u7684\u5e73\u5747\u7cbe\u5ea6（AP），\u5728\u5e73\u5747\u63d0\u8bae\u6846\u6570\u91cf {1, 2, 5, 10, 20} \u4e0b\u7684\u5e73\u5747\u53ec\u56de\u7387（AR），\u4ee5\u53ca\u5728 [0.5:0.05:0.95] \u8303\u56f4\u5185\u9608\u503c\u7684\u5e73\u5747 AP（mAP）\u3002<\/p>\n

\u5b9e\u73b0\u7ec6\u8282\u3002\u200b \u6240\u6709\u6a21\u578b\u5747\u4f7f\u7528 PyTorch \u5b9e\u73b0，\u5e76\u5728\u5355\u4e2a NVIDIA GeForce RTX 3090 GPU \u4e0a\u8bad\u7ec3\u3002\u6211\u4eec\u91c7\u7528 Adam \u4f18\u5316\u5668，\u5b66\u4e60\u7387\u4e3a 1e-7，\u6743\u91cd\u8870\u51cf\u4e3a 1e-4，\u8bad\u7ec3 50 \u4e2a\u5468\u671f，\u6279\u91cf\u5927\u5c0f\u4e3a 2\u3002\u5728\u6211\u4eec\u7684\u635f\u5931\u51fd\u6570\u4e2d，\u6211\u4eec\u8bbe\u7f6e \u03bb_1=1, \u03bb_2=0.25 \u548c \u03bb_3=0.1\u3002\u5728 FA-FAM \u9636\u6bb5，\u6211\u4eec\u5c06\u6838\u5fc3\u6570\u91cf\u8bbe\u7f6e\u4e3a 3\u3002\u5728 SMDAM \u9636\u6bb5，\u6211\u4eec\u5c06\u591a\u5c3a\u5ea6\u65f6\u95f4\u7247\u6bb5\u8bbe\u7f6e\u4e3a 3\u30015 \u548c 7\u3002<\/p>\n

\u6bd4\u8f83\u4e0e\u5206\u6790<\/p>\n

\u88681：\u200b \u90e8\u5206\u4f2a\u9020\u68c0\u6d4b\u7ed3\u679c\u3002\u5728\u4f7f\u7528\u4e0d\u540c\u8bc4\u4f30\u6307\u6807\u8bc4\u4f30\u7684\u6570\u636e\u96c6\u4e0a，\u4e0e\u6700\u5148\u8fdb\u7684 PFD \u65b9\u6cd5\u7684\u6027\u80fd\u6bd4\u8f83\u3002<\/p>\n\n\n

\u6570\u636e\u96c6<\/p>\n

\u65b9\u6cd5<\/p>\n

EER \u2193<\/p>\n

AUC \u2191<\/p>\n

Pre \u2191<\/p>\n

Rec \u2191<\/p>\n

F1 \u2191<\/p>\n<\/tr>\n

\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

HAD<\/p>\n<\/td>\n

\n

IFBDN<\/p>\n<\/td>\n

\n

0.35<\/p>\n<\/td>\n

\n

99.98<\/p>\n<\/td>\n

\n

99.92<\/p>\n<\/td>\n

\n

99.65<\/p>\n<\/td>\n

\n

99.78<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

PSDL<\/p>\n<\/td>\n

\n

0.18<\/p>\n<\/td>\n

\n

99.97<\/p>\n<\/td>\n

\n

99.96<\/p>\n<\/td>\n

\n

99.82<\/p>\n<\/td>\n

\n

99.89<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

CFPRF<\/p>\n<\/td>\n

\n

0.08<\/p>\n<\/td>\n

\n

99.96<\/p>\n<\/td>\n

\n

99.98<\/p>\n<\/td>\n

\n

99.92<\/p>\n<\/td>\n

\n

99.95<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

T3-Tracer\u200b<\/p>\n<\/td>\n

\n

0.07\u200b<\/p>\n<\/td>\n

\n

99.98\u200b<\/p>\n<\/td>\n

\n

99.98\u200b<\/p>\n<\/td>\n

\n

99.92\u200b<\/p>\n<\/td>\n

\n

99.95\u200b<\/p>\n<\/td>\n<\/tr>\n

\n

LAV-DF<\/p>\n<\/td>\n

\n

IFBDN<\/p>\n<\/td>\n

\n

1.07<\/p>\n<\/td>\n

\n

99.88<\/p>\n<\/td>\n

\n

99.94<\/p>\n<\/td>\n

\n

98.93<\/p>\n<\/td>\n

\n

98.93<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

PSDL<\/p>\n<\/td>\n

\n

0.82<\/p>\n<\/td>\n

\n

99.92<\/p>\n<\/td>\n

\n

99.95<\/p>\n<\/td>\n

\n

99.18<\/p>\n<\/td>\n

\n

99.57<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

CFPRF<\/p>\n<\/td>\n

\n

0.82<\/p>\n<\/td>\n

\n

99.89<\/p>\n<\/td>\n

\n

99.95<\/p>\n<\/td>\n

\n

99.18<\/p>\n<\/td>\n

\n

99.56<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

T3-Tracer\u200b<\/p>\n<\/td>\n

\n

0.80\u200b<\/p>\n<\/td>\n

\n

99.93\u200b<\/p>\n<\/td>\n

\n

99.96\u200b<\/p>\n<\/td>\n

\n

99.21\u200b<\/p>\n<\/td>\n

\n

99.57\u200b<\/p>\n<\/td>\n<\/tr>\n

\n

PS<\/p>\n<\/td>\n

\n

IFBDN<\/p>\n<\/td>\n

\n

9.68<\/p>\n<\/td>\n

\n

95.70<\/p>\n<\/td>\n

\n

93.72<\/p>\n<\/td>\n

\n

90.32<\/p>\n<\/td>\n

\n

91.99<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

PSDL<\/p>\n<\/td>\n

\n

12.47<\/p>\n<\/td>\n

\n

93.30<\/p>\n<\/td>\n

\n

91.82<\/p>\n<\/td>\n

\n

87.53<\/p>\n<\/td>\n

\n

89.62<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

CFPRF<\/p>\n<\/td>\n

\n

7.50<\/p>\n<\/td>\n

\n

96.95<\/p>\n<\/td>\n

\n

95.18<\/p>\n<\/td>\n

\n

92.50<\/p>\n<\/td>\n

\n

93.82<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

T3-Tracer\u200b<\/p>\n<\/td>\n

\n

7.41\u200b<\/p>\n<\/td>\n

\n

97.13\u200b<\/p>\n<\/td>\n

\n

95.32\u200b<\/p>\n<\/td>\n

\n

93.46\u200b<\/p>\n<\/td>\n

\n

94.04\u200b<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u90e8\u5206\u4f2a\u9020\u68c0\u6d4b\u3002<\/p>\n

\u6211\u4eec\u5728\u8868 1 \u4e2d\u62a5\u544a\u4e86 PFD \u4efb\u52a1\u7684\u7ed3\u679c\u3002\u6211\u4eec\u63d0\u51fa\u7684 T3-Tracer \u5728\u6240\u6709\u4e09\u4e2a\u6570\u636e\u96c6\u4e0a consistently \u5b9e\u73b0\u4e86\u6700\u4f73\u6027\u80fd\u3002\u5728\u6700\u5177\u6311\u6218\u6027\u7684 ASVS2019-PS \u4e0a（\u5305\u542b\u9891\u7e41\u4e14\u77ed\u8de8\u5ea6\u7684\u4f2a\u9020），T3-Tracer \u83b7\u5f97\u4e86 7.41% \u7684 EER \u548c 94.04% \u7684 F1 \u5206\u6570\u3002\u8fd9\u51f8\u663e\u4e86\u6211\u4eec\u7684\u4e09\u7ea7\u65f6\u95f4\u5efa\u6a21\u5728\u6355\u6349\u7ec6\u7c92\u5ea6\u4f2a\u9020\u75d5\u8ff9\u65b9\u9762\u7684\u6709\u6548\u6027\u3002\u867d\u7136\u6211\u4eec\u7684\u6846\u67b6\u4e13\u95e8\u8bbe\u8ba1\u7528\u4e8e\u5904\u7406\u5fae\u5999\u4e14\u7a00\u758f\u7684\u97f3\u9891\u64cd\u4f5c，\u4f46\u5b83\u4e5f\u5728\u76f8\u5bf9\u4e0d\u90a3\u4e48\u5177\u6709\u6311\u6218\u6027\u7684\u57fa\u51c6\u6d4b\u8bd5（\u5982 HAD \u548c LAV-DF）\u4e0a\u5e26\u6765\u4e86\u4e00\u81f4\u7684\u6539\u8fdb，\u5728 EER \u548c F1 \u4e0a\u90fd\u89c2\u5bdf\u5230\u4e86\u660e\u663e\u7684\u63d0\u5347\u3002\u8fd9\u8868\u660e\u6240\u63d0\u51fa\u7684\u65b9\u6cd5\u5728\u4e0d\u540c\u7684\u4f2a\u9020\u96be\u5ea6\u7ea7\u522b\u4e0a\u4fdd\u6301\u4e86\u5f3a\u5927\u7684\u9c81\u68d2\u6027\u3002<\/p>\n

\u88682：\u200b \u65f6\u95f4\u4f2a\u9020\u5b9a\u4f4d\u7ed3\u679c\u3002\u4e0e\u6700\u5148\u8fdb\u7684 TFL \u65b9\u6cd5\u548c PFD \u6a21\u578b\u7684\u6027\u80fd\u6bd4\u8f83\u3002<\/p>\n\n\n

\u6570\u636e\u96c6<\/p>\n

\u65b9\u6cd5<\/p>\n

AP@0.5<\/p>\n

AP@0.75<\/p>\n

AP@0.9<\/p>\n

AP@0.95<\/p>\n

mAP<\/p>\n

AR@1<\/p>\n

AR@2<\/p>\n

AR@5<\/p>\n

AR@10<\/p>\n

AR@20<\/p>\n<\/tr>\n

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

HAD<\/p>\n<\/td>\n

\n

BA-TFD<\/p>\n<\/td>\n

\n

79.86<\/p>\n<\/td>\n

\n

37.98<\/p>\n<\/td>\n

\n

5.55<\/p>\n<\/td>\n

\n

0.57<\/p>\n<\/td>\n

\n

40.93<\/p>\n<\/td>\n

\n

45.12<\/p>\n<\/td>\n

\n

47.53<\/p>\n<\/td>\n

\n

49.99<\/p>\n<\/td>\n

\n

52.09<\/p>\n<\/td>\n

\n

55.15<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

BA-TFD+<\/p>\n<\/td>\n

\n

88.26<\/p>\n<\/td>\n

\n

70.69<\/p>\n<\/td>\n

\n

37.83<\/p>\n<\/td>\n

\n

7.39<\/p>\n<\/td>\n

\n

64.83<\/p>\n<\/td>\n

\n

67.49<\/p>\n<\/td>\n

\n

68.44<\/p>\n<\/td>\n

\n

69.06<\/p>\n<\/td>\n

\n

69.39<\/p>\n<\/td>\n

\n

70.15<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

UMMAFormer<\/p>\n<\/td>\n

\n

99.98<\/p>\n<\/td>\n

\n

99.86<\/p>\n<\/td>\n

\n

98.01<\/p>\n<\/td>\n

\n

88.17<\/p>\n<\/td>\n

\n

98.49<\/p>\n<\/td>\n

\n

98.68<\/p>\n<\/td>\n

\n

98.73<\/p>\n<\/td>\n

\n

98.84<\/p>\n<\/td>\n

\n

98.85<\/p>\n<\/td>\n

\n

98.86<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

IFBDN<\/p>\n<\/td>\n

\n

93.85<\/p>\n<\/td>\n

\n

91.55<\/p>\n<\/td>\n

\n

87.75<\/p>\n<\/td>\n

\n

79.08<\/p>\n<\/td>\n

\n

90.40<\/p>\n<\/td>\n

\n

96.07<\/p>\n<\/td>\n

\n

97.39<\/p>\n<\/td>\n

\n

97.54<\/p>\n<\/td>\n

\n

97.54<\/p>\n<\/td>\n

\n

97.54<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

PSDL<\/p>\n<\/td>\n

\n

88.53<\/p>\n<\/td>\n

\n

85.27<\/p>\n<\/td>\n

\n

80.80<\/p>\n<\/td>\n

\n

73.25<\/p>\n<\/td>\n

\n

84.25<\/p>\n<\/td>\n

\n

93.40<\/p>\n<\/td>\n

\n

96.30<\/p>\n<\/td>\n

\n

96.89<\/p>\n<\/td>\n

\n

96.94<\/p>\n<\/td>\n

\n

96.94<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

CFPRF<\/p>\n<\/td>\n

\n

99.77<\/p>\n<\/td>\n

\n

99.60<\/p>\n<\/td>\n

\n

99.21<\/p>\n<\/td>\n

\n

96.03<\/p>\n<\/td>\n

\n

98.65<\/p>\n<\/td>\n

\n

99.31<\/p>\n<\/td>\n

\n

99.38<\/p>\n<\/td>\n

\n

99.38<\/p>\n<\/td>\n

\n

99.38<\/p>\n<\/td>\n

\n

99.38<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

T3-Tracer\u200b<\/p>\n<\/td>\n

\n

99.74\u200b<\/p>\n<\/td>\n

\n

99.78\u200b<\/p>\n<\/td>\n

\n

99.43\u200b<\/p>\n<\/td>\n

\n

96.33\u200b<\/p>\n<\/td>\n

\n

99.27\u200b<\/p>\n<\/td>\n

\n

99.33\u200b<\/p>\n<\/td>\n

\n

99.46\u200b<\/p>\n<\/td>\n

\n

99.46\u200b<\/p>\n<\/td>\n

\n

99.46\u200b<\/p>\n<\/td>\n

\n

99.46\u200b<\/p>\n<\/td>\n<\/tr>\n

\n

LAV-DF<\/p>\n<\/td>\n

\n

BA-TFD<\/p>\n<\/td>\n

\n

53.53<\/p>\n<\/td>\n

\n

10.98<\/p>\n<\/td>\n

\n

0.36<\/p>\n<\/td>\n

\n

0.02<\/p>\n<\/td>\n

\n

20.77<\/p>\n<\/td>\n

\n

29.56<\/p>\n<\/td>\n

\n

32.22<\/p>\n<\/td>\n

\n

34.73<\/p>\n<\/td>\n

\n

38.03<\/p>\n<\/td>\n

\n

44.66<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

BA-TFD+<\/p>\n<\/td>\n

\n

83.78<\/p>\n<\/td>\n

\n

51.99<\/p>\n<\/td>\n

\n

6.13<\/p>\n<\/td>\n

\n

0.46<\/p>\n<\/td>\n

\n

49.32<\/p>\n<\/td>\n

\n

52.78<\/p>\n<\/td>\n

\n

54.97<\/p>\n<\/td>\n

\n

57.21<\/p>\n<\/td>\n

\n

58.41<\/p>\n<\/td>\n

\n

60.04<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

UMMAFormer<\/p>\n<\/td>\n

\n

97.29<\/p>\n<\/td>\n

\n

95.67<\/p>\n<\/td>\n

\n

89.92<\/p>\n<\/td>\n

\n

61.97<\/p>\n<\/td>\n

\n

92.04<\/p>\n<\/td>\n

\n

85.67<\/p>\n<\/td>\n

\n

91.77<\/p>\n<\/td>\n

\n

94.89<\/p>\n<\/td>\n

\n

95.64<\/p>\n<\/td>\n

\n

96.14<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

IFBDN<\/p>\n<\/td>\n

\n

86.83<\/p>\n<\/td>\n

\n

84.02<\/p>\n<\/td>\n

\n

77.85<\/p>\n<\/td>\n

\n

70.09<\/p>\n<\/td>\n

\n

82.55<\/p>\n<\/td>\n

\n

86.28<\/p>\n<\/td>\n

\n

91.78<\/p>\n<\/td>\n

\n

92.13<\/p>\n<\/td>\n

\n

92.13<\/p>\n<\/td>\n

\n

92.13<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

PSDL<\/p>\n<\/td>\n

\n

76.10<\/p>\n<\/td>\n

\n

71.71<\/p>\n<\/td>\n

\n

65.16<\/p>\n<\/td>\n

\n

57.13<\/p>\n<\/td>\n

\n

70.43<\/p>\n<\/td>\n

\n

84.71<\/p>\n<\/td>\n

\n

89.14<\/p>\n<\/td>\n

\n

89.98<\/p>\n<\/td>\n

\n

90.03<\/p>\n<\/td>\n

\n

90.03<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

CFPRF<\/p>\n<\/td>\n

\n

94.52<\/p>\n<\/td>\n

\n

93.47<\/p>\n<\/td>\n

\n

91.65<\/p>\n<\/td>\n

\n

88.64<\/p>\n<\/td>\n

\n

93.01<\/p>\n<\/td>\n

\n

87.59<\/p>\n<\/td>\n

\n

93.49<\/p>\n<\/td>\n

\n

93.51<\/p>\n<\/td>\n

\n

93.51<\/p>\n<\/td>\n

\n

93.51<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

T3-Tracer\u200b<\/p>\n<\/td>\n

\n

94.70\u200b<\/p>\n<\/td>\n

\n

93.82\u200b<\/p>\n<\/td>\n

\n

92.07\u200b<\/p>\n<\/td>\n

\n

89.27\u200b<\/p>\n<\/td>\n

\n

94.29\u200b<\/p>\n<\/td>\n

\n

87.79\u200b<\/p>\n<\/td>\n

\n

93.89\u200b<\/p>\n<\/td>\n

\n

93.89\u200b<\/p>\n<\/td>\n

\n

93.89\u200b<\/p>\n<\/td>\n

\n

95.89\u200b<\/p>\n<\/td>\n<\/tr>\n

\n

PS<\/p>\n<\/td>\n

\n

BA-TFD<\/p>\n<\/td>\n

\n

13.65<\/p>\n<\/td>\n

\n

4.91<\/p>\n<\/td>\n

\n

1.06<\/p>\n<\/td>\n

\n

0.63<\/p>\n<\/td>\n

\n

6.15<\/p>\n<\/td>\n

\n

8.04<\/p>\n<\/td>\n

\n

11.03<\/p>\n<\/td>\n

\n

15.41<\/p>\n<\/td>\n

\n

19.14<\/p>\n<\/td>\n

\n

23.64<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

BA-TFD+<\/p>\n<\/td>\n

\n

15.72<\/p>\n<\/td>\n

\n

6.37<\/p>\n<\/td>\n

\n

2.05<\/p>\n<\/td>\n

\n

1.95<\/p>\n<\/td>\n

\n

7.69<\/p>\n<\/td>\n

\n

7.93<\/p>\n<\/td>\n

\n

12.62<\/p>\n<\/td>\n

\n

18.28<\/p>\n<\/td>\n

\n

22.17<\/p>\n<\/td>\n

\n

26.71<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

UMMAFormer<\/p>\n<\/td>\n

\n

52.99<\/p>\n<\/td>\n

\n

31.89<\/p>\n<\/td>\n

\n

17.69<\/p>\n<\/td>\n

\n

9.04<\/p>\n<\/td>\n

\n

33.09<\/p>\n<\/td>\n

\n

17.37<\/p>\n<\/td>\n

\n

28.49<\/p>\n<\/td>\n

\n

39.57<\/p>\n<\/td>\n

\n

47.55<\/p>\n<\/td>\n

\n

55.53<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

IFBDN<\/p>\n<\/td>\n

\n

43.84<\/p>\n<\/td>\n

\n

34.79<\/p>\n<\/td>\n

\n

27.10<\/p>\n<\/td>\n

\n

22.53<\/p>\n<\/td>\n

\n

34.92<\/p>\n<\/td>\n

\n

18.72<\/p>\n<\/td>\n

\n

33.30<\/p>\n<\/td>\n

\n

53.87<\/p>\n<\/td>\n

\n

60.99<\/p>\n<\/td>\n

\n

62.22<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

PSDL<\/p>\n<\/td>\n

\n

46.63<\/p>\n<\/td>\n

\n

38.19<\/p>\n<\/td>\n

\n

31.13<\/p>\n<\/td>\n

\n

26.94<\/p>\n<\/td>\n

\n

38.42<\/p>\n<\/td>\n

\n

20.22<\/p>\n<\/td>\n

\n

35.16<\/p>\n<\/td>\n

\n

56.86<\/p>\n<\/td>\n

\n

64.97<\/p>\n<\/td>\n

\n

66.52<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

CFPRF<\/p>\n<\/td>\n

\n

66.34<\/p>\n<\/td>\n

\n

55.47<\/p>\n<\/td>\n

\n

48.05<\/p>\n<\/td>\n

\n

40.96<\/p>\n<\/td>\n

\n

55.22<\/p>\n<\/td>\n

\n

18.48<\/p>\n<\/td>\n

\n

35.57<\/p>\n<\/td>\n

\n

58.06<\/p>\n<\/td>\n

\n

65.47<\/p>\n<\/td>\n

\n

66.53<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/p>\n<\/td>\n

\n

T3-Tracer\u200b<\/p>\n<\/td>\n

\n

68.74\u200b<\/p>\n<\/td>\n

\n

57.28\u200b<\/p>\n<\/td>\n

\n

49.25\u200b<\/p>\n<\/td>\n

\n

42.73\u200b<\/p>\n<\/td>\n

\n

57.28\u200b<\/p>\n<\/td>\n

\n

21.65\u200b<\/p>\n<\/td>\n

\n

37.36\u200b<\/p>\n<\/td>\n

\n

59.64\u200b<\/p>\n<\/td>\n

\n

66.47\u200b<\/p>\n<\/td>\n

\n

67.30\u200b<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u65f6\u95f4\u4f2a\u9020\u5b9a\u4f4d\u3002<\/p>\n

\u6211\u4eec\u8fdb\u4e00\u6b65\u5728 TFL \u4efb\u52a1\u4e0a\u8bc4\u4f30 T3-Tracer，\u7ed3\u679c\u603b\u7ed3\u5728\u8868 2 \u4e2d\u3002\u6211\u4eec\u7684\u65b9\u6cd5\u5728\u6240\u6709\u4e09\u4e2a\u57fa\u51c6\u6d4b\u8bd5\u4e0a\u90fd\u53d6\u5f97\u4e86\u6700\u597d\u7684 mAP\u3002\u5177\u4f53\u6765\u8bf4，T3-Tracer \u5728 HAD\u3001LAV-DF \u548c PS \u6570\u636e\u96c6\u4e0a\u5206\u522b\u8fbe\u5230\u4e86 99.27%\u300194.29% \u548c 57.28% \u7684 mAP \u5206\u6570，\u4ee5\u53ca 99.33%\u300187.79% \u548c 21.65% \u7684 AR@1 \u5206\u6570\u3002\u4e0e\u73b0\u6709\u7684\u97f3\u9891 TFL \u57fa\u7ebf（\u5982 IFBDN\u3001PSDL \u548c CFPRF）\u76f8\u6bd4，\u6211\u4eec\u7684\u6846\u67b6\u663e\u793a\u51fa\u663e\u8457\u4f18\u52bf，\u5c24\u5176\u662f\u5728\u5305\u542b\u591a\u4e2a\u77ed\u4e14\u91cd\u53e0\u7684\u4f2a\u9020\u8de8\u5ea6\u7684 PS \u6570\u636e\u96c6\u4e0a\u3002\u8fd9\u9a8c\u8bc1\u4e86\u6211\u4eec\u7684 T3-Tracer \u5728\u7ec6\u7c92\u5ea6\u8fb9\u754c\u4f30\u8ba1\u65b9\u9762\u7684\u6709\u6548\u6027\u3002\u4e0e\u591a\u6a21\u6001\u65b9\u6cd5\u76f8\u6bd4，\u5f53\u4ec5\u4f7f\u7528\u97f3\u9891\u65f6，BA-TFD \u548c BA-TFD+ \u8868\u73b0\u4e0d\u4f73\u3002\u5c3d\u7ba1 UMMAFormer \u5728\u4f2a\u9020\u76f8\u5bf9\u8f83\u957f\u4e14\u5b64\u7acb\u7684 HAD \u548c LAV-DF \u4e0a\u663e\u793a\u51fa\u5408\u7406\u7684\u6027\u80fd，\u4f46\u5176\u5728 PS \u548c\u9ad8\u7cbe\u5ea6\u5b9a\u4f4d\u6307\u6807（\u5982 AP@0.95）\u4e0a\u7684\u6027\u80fd\u6709\u6240\u4e0b\u964d\u3002\u8fd9\u63ed\u793a\u4e86\u5176\u5728\u7cbe\u786e\u8fb9\u754c\u68c0\u6d4b\u548c\u591a\u7247\u6bb5\u5b9a\u4f4d\u65b9\u9762\u7684\u80fd\u529b\u6709\u9650\u3002<\/p>\n

\u6838\u5fc3\u6a21\u5757\u7684\u6709\u6548\u6027\u3002<\/p>\n

\u4e3a\u4e86\u7814\u7a76\u6bcf\u4e2a\u65f6\u95f4\u5efa\u6a21\u7ec4\u4ef6\u7684\u4e2a\u4f53\u8d21\u732e，\u6211\u4eec\u901a\u8fc7\u9010\u6b65\u4ece\u6211\u4eec\u63d0\u51fa\u7684 T3-Tracer \u4e2d\u79fb\u9664\u6838\u5fc3\u6a21\u5757\u6765\u8fdb\u884c\u6d88\u878d\u5b9e\u9a8c\u3002\u7ed3\u679c\u603b\u7ed3\u5728\u8868 3 \u4e2d\u3002\u6211\u4eec\u89c2\u5bdf\u5230，\u79fb\u9664\u4e09\u4e2a\u6a21\u5757\u4e2d\u7684\u4efb\u4f55\u4e00\u4e2a\u90fd\u4f1a\u5bfc\u81f4\u5728\u6240\u6709\u6570\u636e\u96c6\u548c\u6307\u6807\u4e0a\u7684\u6027\u80fd\u4e00\u81f4\u4e0b\u964d，\u9a8c\u8bc1\u4e86\u5728\u591a\u7c92\u5ea6\u4e0a\u8fdb\u884c\u65f6\u95f4\u5efa\u6a21\u7684\u5fc5\u8981\u6027\u3002\u5177\u4f53\u6765\u8bf4，\u79fb\u9664 FFA \u4f1a\u5bfc\u81f4 PFD \u6025\u5267\u4e0b\u964d，\u7a81\u663e\u4e86\u8de8\u901a\u9053\u548c\u9891\u8c31\u7279\u5f81\u805a\u5408\u5bf9\u4e8e\u6355\u6349\u7ec6\u7c92\u5ea6\u7a7a\u95f4\u5f02\u5e38\u7684\u91cd\u8981\u6027\u3002\u6392\u9664 AFA \u4f1a\u635f\u5bb3\u957f\u7a0b\u65f6\u95f4\u4e00\u81f4\u6027\u5efa\u6a21，\u8fd9\u5bf9\u4f7f\u7528\u5148\u8fdb\u4f2a\u9020\u6280\u672f\u7684 PS \u548c LAV-DF \u6570\u636e\u96c6\u5c24\u5176\u6709\u5bb3，\u5e76\u4e14\u5355\u4e2a\u5e27\u7684\u7279\u5f81\u4e0d\u8db3\u4ee5\u786e\u5b9a\u5176\u662f\u5426\u88ab\u4f2a\u9020\u3002\u6b64\u5916，\u4e22\u5f03 SMDAM \u4f1a\u4e25\u91cd\u964d\u4f4e\u8fb9\u754c\u5b9a\u4f4d\u6027\u80fd，\u5c24\u5176\u662f\u5728 PS \u4e0a，\u90a3\u91cc\u5bc6\u96c6\u6253\u5305\u7684\u4f2a\u9020\u7247\u6bb5\u9700\u8981\u7cbe\u786e\u68c0\u6d4b\u6bb5\u7ea7\u4e0d\u8fde\u7eed\u6027\u3002\u6700\u540e，\u4e09\u4e2a\u6a21\u5757\u7684\u7ec4\u5408\u53d6\u5f97\u4e86\u6700\u4f73\u7ed3\u679c，\u8868\u660e\u5b83\u4eec\u7684\u96c6\u6210\u4f7f T3-Tracer \u80fd\u591f\u6784\u5efa\u4e00\u4e2a\u5168\u9762\u7684\u65f6\u95f4\u8868\u793a，\u8be5\u8868\u793a\u5bf9\u4e0d\u540c\u64cd\u4f5c\u6a21\u5f0f\u5177\u6709\u9c81\u68d2\u6027\u3002<\/p>\n

\u88683：\u200b \u6211\u4eec\u6838\u5fc3\u6a21\u5757\u6709\u6548\u6027\u7684\u6d88\u878d\u7814\u7a76\u3002<\/p>\n\n\n

\u67b6\u6784<\/p>\n

HAD<\/p>\n

LAV-DF<\/p>\n

PS<\/p>\n<\/tr>\n

\n\n\n\n\n\n
\n

\u00a0<\/p>\n<\/td>\n

\n

EER\u2193<\/p>\n<\/td>\n

\n

mAP<\/p>\n<\/td>\n

\n

EER\u2193<\/p>\n<\/td>\n

\n

mAP<\/p>\n<\/td>\n

\n

EER\u2193<\/p>\n<\/td>\n

\n

mAP<\/p>\n<\/td>\n<\/tr>\n

\n

Baseline=T3-Tracer<\/p>\n<\/td>\n

\n

0.07<\/p>\n<\/td>\n

\n

99.27<\/p>\n<\/td>\n

\n

0.80<\/p>\n<\/td>\n

\n

94.29<\/p>\n<\/td>\n

\n

7.41<\/p>\n<\/td>\n

\n

57.28<\/p>\n<\/td>\n<\/tr>\n

\n

w\/o. FFA<\/p>\n<\/td>\n

\n

0.21<\/p>\n<\/td>\n

\n

97.33<\/p>\n<\/td>\n

\n

1.33<\/p>\n<\/td>\n

\n

93.09<\/p>\n<\/td>\n

\n

8.53<\/p>\n<\/td>\n

\n

55.13<\/p>\n<\/td>\n<\/tr>\n

\n

w\/o. AFA<\/p>\n<\/td>\n

\n

0.09<\/p>\n<\/td>\n

\n

98.91<\/p>\n<\/td>\n

\n

0.88<\/p>\n<\/td>\n

\n

93.21<\/p>\n<\/td>\n

\n

7.64<\/p>\n<\/td>\n

\n

55.87<\/p>\n<\/td>\n<\/tr>\n

\n

w\/o. SMDAM<\/p>\n<\/td>\n

\n

0.15<\/p>\n<\/td>\n

\n

98.05<\/p>\n<\/td>\n

\n

1.30<\/p>\n<\/td>\n

\n

93.14<\/p>\n<\/td>\n

\n

7.92<\/p>\n<\/td>\n

\n

55.34<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

FA-FAM \u7684\u6d88\u878d\u7814\u7a76\u3002<\/p>\n

\u6211\u4eec\u8bc4\u4f30\u4e86\u5e27\u5185\u6a21\u5757\u548c\u5168\u5c40\u6a21\u5757\u5171\u4eab\u7684\u6838\u5fc3\u8bbe\u8ba1，\u5305\u62ec\u591a\u6838\u5fc3\u805a\u5408\u3001\u5f02\u5e38\u611f\u77e5\u95e8\u63a7\u548c\u95e8\u63a7\u878d\u5408\u7b56\u7565\u3002\u7ed3\u679c\u5448\u73b0\u5728\u8868 4 \u4e2d\u3002\u79fb\u9664\u591a\u6838\u5fc3\u7ed3\u6784\u5e76\u4ec5\u4f7f\u7528\u4e00\u4e2a\u6838\u5fc3\u4f1a\u5bfc\u81f4\u6027\u80fd\u4e0b\u964d，\u5c24\u5176\u662f\u5728\u5177\u6709\u6311\u6218\u6027\u7684\u6570\u636e\u96c6\u4e0a，\u663e\u793a\u4e86\u5176\u5728\u5efa\u6a21\u591a\u6837\u5316\u64cd\u4f5c\u6a21\u5f0f\u65b9\u9762\u7684\u6709\u6548\u6027\u3002\u7981\u7528\u5f02\u5e38\u611f\u77e5\u95e8\u4e5f\u4f1a\u964d\u4f4e\u6027\u80fd，\u56e0\u4e3a\u7f51\u7edc\u5931\u53bb\u4e86\u4e13\u6ce8\u4e8e\u5f02\u5e38\u7ebf\u7d22\u7684\u80fd\u529b\u3002\u6700\u540e，\u7528\u7b80\u5355\u7684\u52a0\u6cd5\u66ff\u6362\u95e8\u63a7\u878d\u5408\u4f1a\u964d\u4f4e\u5b9a\u4f4d\u7cbe\u5ea6，\u9a8c\u8bc1\u4e86\u81ea\u9002\u5e94\u7279\u5f81\u96c6\u6210\u7684\u76ca\u5904\u3002\u7ed3\u5408\u6240\u6709\u4e09\u79cd\u8bbe\u8ba1\u4ea7\u751f\u4e86\u6700\u4f73\u7ed3\u679c\u3002<\/p>\n

\u88684：\u200b FA-FAM \u5185\u90e8\u673a\u5236\u7684\u6d88\u878d\u7ed3\u679c\u3002<\/p>\n\n\n

\u67b6\u6784<\/p>\n

HAD<\/p>\n

LAV-DF<\/p>\n

PS<\/p>\n<\/tr>\n

\n\n\n\n\n\n
\n

\u00a0<\/p>\n<\/td>\n

\n

EER\u2193<\/p>\n<\/td>\n

\n

mAP<\/p>\n<\/td>\n

\n

EER\u2193<\/p>\n<\/td>\n

\n

mAP<\/p>\n<\/td>\n

\n

EER\u2193<\/p>\n<\/td>\n

\n

mAP<\/p>\n<\/td>\n<\/tr>\n

\n

Baseline=FA-FAM<\/p>\n<\/td>\n

\n

0.07<\/p>\n<\/td>\n

\n

99.27<\/p>\n<\/td>\n

\n

0.80<\/p>\n<\/td>\n

\n

94.29<\/p>\n<\/td>\n

\n

7.41<\/p>\n<\/td>\n

\n

57.28<\/p>\n<\/td>\n<\/tr>\n

\n

w\/o. multi-core<\/p>\n<\/td>\n

\n

0.08<\/p>\n<\/td>\n

\n

98.14<\/p>\n<\/td>\n

\n

0.96<\/p>\n<\/td>\n

\n

93.23<\/p>\n<\/td>\n

\n

7.94<\/p>\n<\/td>\n

\n

56.59<\/p>\n<\/td>\n<\/tr>\n

\n

w\/o. anomaly gating<\/p>\n<\/td>\n

\n

0.08<\/p>\n<\/td>\n

\n

98.77<\/p>\n<\/td>\n

\n

0.88<\/p>\n<\/td>\n

\n

93.86<\/p>\n<\/td>\n

\n

7.53<\/p>\n<\/td>\n

\n

57.19<\/p>\n<\/td>\n<\/tr>\n

\n

w\/o. gate fusion<\/p>\n<\/td>\n

\n

0.08<\/p>\n<\/td>\n

\n

98.65<\/p>\n<\/td>\n

\n

0.82<\/p>\n<\/td>\n

\n

93.74<\/p>\n<\/td>\n

\n

7.66<\/p>\n<\/td>\n

\n

56.10<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

SMDAM \u7684\u6d88\u878d\u7814\u7a76\u3002<\/p>\n

\u6211\u4eec\u68c0\u67e5\u4e86\u5c40\u90e8\u6a21\u5757\u4e2d\u7684\u4e09\u4e2a\u6838\u5fc3\u8bbe\u8ba1：(1) \u4ec5\u5efa\u6a21\u539f\u59cb\u5e27\u7279\u5f81，(2) \u4ec5\u5efa\u6a21\u5e27\u5dee\u5f02，(3) \u4f7f\u7528\u5355\u5c3a\u5ea6\u65f6\u95f4\u7247\u6bb5\u3002\u5982\u8868 5 \u6240\u793a，\u5355\u72ec\u4efb\u4e00\u5206\u652f\u7684\u6027\u80fd\u90fd\u4e0d\u5982\u5b8c\u6574\u8bbe\u8ba1，\u8bc1\u5b9e\u4e86\u539f\u59cb\u7279\u5f81\u548c\u5dee\u5f02\u7279\u5f81\u90fd\u6355\u6349\u4e86\u4e92\u8865\u7684\u8fb9\u754c\u7ebf\u7d22\u3002\u6b64\u5916，\u4ec5\u4f7f\u7528\u5355\u4e00\u65f6\u95f4\u5c3a\u5ea6\u4f1a\u524a\u5f31\u5bf9\u4e0d\u540c\u6301\u7eed\u65f6\u95f4\u4f2a\u9020\u8fb9\u754c\u7684\u654f\u611f\u6027\u3002\u8fd9\u4e9b\u7ed3\u679c\u9a8c\u8bc1\u4e86\u53cc\u5206\u652f\u8bbe\u8ba1\u548c\u591a\u5c3a\u5ea6\u5efa\u6a21\u5728\u6355\u6349\u5fae\u5999\u5c40\u90e8\u8fc7\u6e21\u65b9\u9762\u7684\u5fc5\u8981\u6027\u3002<\/p>\n

\u88685：\u200b FA-FAM \u5185\u90e8\u673a\u5236\u7684\u6d88\u878d\u7ed3\u679c\u3002<\/p>\n\n\n

\u67b6\u6784<\/p>\n

HAD<\/p>\n

LAV-DF<\/p>\n

PS<\/p>\n<\/tr>\n

\n\n\n\n\n\n
\n

\u00a0<\/p>\n<\/td>\n

\n

EER\u2193<\/p>\n<\/td>\n

\n

mAP<\/p>\n<\/td>\n

\n

EER\u2193<\/p>\n<\/td>\n

\n

mAP<\/p>\n<\/td>\n

\n

EER\u2193<\/p>\n<\/td>\n

\n

mAP<\/p>\n<\/td>\n<\/tr>\n

\n

Baseline=SMDAM<\/p>\n<\/td>\n

\n

0.07<\/p>\n<\/td>\n

\n

99.27<\/p>\n<\/td>\n

\n

0.80<\/p>\n<\/td>\n

\n

94.29<\/p>\n<\/td>\n

\n

7.41<\/p>\n<\/td>\n

\n

57.28<\/p>\n<\/td>\n<\/tr>\n

\n

w\/o. frame features<\/p>\n<\/td>\n

\n

0.08<\/p>\n<\/td>\n

\n

98.59<\/p>\n<\/td>\n

\n

0.85<\/p>\n<\/td>\n

\n

93.88<\/p>\n<\/td>\n

\n

7.65<\/p>\n<\/td>\n

\n

56.71<\/p>\n<\/td>\n<\/tr>\n

\n

w\/o. frame differences<\/p>\n<\/td>\n

\n

0.08<\/p>\n<\/td>\n

\n

98.58<\/p>\n<\/td>\n

\n

0.85<\/p>\n<\/td>\n

\n

93.86<\/p>\n<\/td>\n

\n

7.56<\/p>\n<\/td>\n

\n

56.51<\/p>\n<\/td>\n<\/tr>\n

\n

w\/o. multi-scale temporal segment<\/p>\n<\/td>\n

\n

0.08<\/p>\n<\/td>\n

\n

98.16<\/p>\n<\/td>\n

\n

0.98<\/p>\n<\/td>\n

\n

93.21<\/p>\n<\/td>\n

\n

7.83<\/p>\n<\/td>\n

\n

56.19<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u7ed3\u8bba<\/p>\n

\u5728\u672c\u6587\u4e2d，\u6211\u4eec\u63d0\u51fa\u4e86 T3-Tracer，\u4e00\u4e2a\u7528\u4e8e\u90e8\u5206\u97f3\u9891\u4f2a\u9020\u68c0\u6d4b\u548c\u5b9a\u4f4d\u7684\u7edf\u4e00\u6846\u67b6\u3002\u6211\u4eec\u5de5\u4f5c\u7684\u4e00\u4e2a\u5173\u952e\u8d21\u732e\u662f\u663e\u5f0f\u7684\u5c42\u6b21\u5316\u65f6\u95f4\u5efa\u6a21，\u6211\u4eec\u5c06\u97f3\u9891\u7684\u65f6\u95f4\u7ed3\u6784\u5212\u5206\u4e3a\u4e09\u4e2a\u7ea7\u522b：\u5e27\u3001\u7247\u6bb5\u548c\u97f3\u9891\u3002\u8fd9\u79cd\u591a\u7ea7\u5206\u89e3\u4f7f\u5f97\u80fd\u591f\u66f4\u5168\u9762\u5730\u7406\u89e3\u591a\u6837\u5316\u7684\u4f2a\u9020\u6a21\u5f0f\u3002\u57fa\u4e8e\u6b64\u516c\u5f0f，\u6211\u4eec\u8bbe\u8ba1\u4e86\u4e24\u4e2a\u4e92\u8865\u7684\u6a21\u5757：FA-FAM，\u5b83\u901a\u8fc7\u6574\u5408\u5e27\u7ea7\u522b\u7684\u7ec6\u7c92\u5ea6\u58f0\u5b66\u7ebf\u7d22\u548c\u97f3\u9891\u7ea7\u522b\u7684\u5168\u5c40\u8bed\u4e49\u4e0a\u4e0b\u6587\u6765\u68c0\u6d4b\u5e27\u4f2a\u9020；\u4ee5\u53ca SMDAM，\u5b83\u901a\u8fc7\u5728\u591a\u5c3a\u5ea6\u7247\u6bb5\u4e0a\u5efa\u6a21\u539f\u59cb\u5e27\u7279\u5f81\u548c\u5e27\u95f4\u5dee\u5f02\u6765\u4e13\u6ce8\u4e8e\u6bb5\u7ea7\u8fb9\u754c\u68c0\u6d4b\u3002\u4e3a\u4e86\u589e\u5f3a\u65f6\u95f4\u7ea7\u522b\u4e4b\u95f4\u7684\u4ea4\u4e92，\u6211\u4eec\u8fdb\u4e00\u6b65\u5f15\u5165\u4e86\u4ea4\u53c9\u6ce8\u610f\u529b\u673a\u5236\u548c\u57fa\u4e8e PRN \u7684\u89e3\u7801\u5668\u4ee5\u5b9e\u73b0\u8fde\u8d2f\u7684\u9884\u6d4b\u3002\u5728\u4e09\u4e2a\u5177\u6709\u6311\u6218\u6027\u7684\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u7684\u5927\u91cf\u5b9e\u9a8c\u8bc1\u660e，T3-Tracer \u5728\u90e8\u5206\u4f2a\u9020\u68c0\u6d4b\u548c\u65f6\u95f4\u4f2a\u9020\u5b9a\u4f4d\u4e0a\u90fd\u8fbe\u5230\u4e86\u6700\u5148\u8fdb\u7684\u7ed3\u679c\u3002\u6211\u4eec\u7684\u53d1\u73b0\u9a8c\u8bc1\u4e86\u5c42\u6b21\u5316\u65f6\u95f4\u5206\u89e3\u548c\u8de8\u5c3a\u5ea6\u96c6\u6210\u7684\u91cd\u8981\u6027，\u4e3a\u73b0\u5b9e\u4e16\u754c\u548c\u957f\u5f62\u5f0f\u573a\u666f\u4e0b\u97f3\u9891\u4f2a\u9020\u68c0\u6d4b\u7684\u672a\u6765\u8fdb\u5c55\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7edf\u4e00\u4e14\u53ef\u6269\u5c55\u7684\u57fa\u7840\u3002<\/p>\n

\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"

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