\n\n| 1<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011LSKA(Large Separable Kernel Attention)：\u5927\u6838\u5206\u79bb\u5377\u79ef\u6ce8\u610f\u529b\u6a21\u5757<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143037077<\/td>\n<\/tr>\n |
\n| 2<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011EMA（Efficient Multi-Scale Attention）：\u57fa\u4e8e\u8de8\u7a7a\u95f4\u5b66\u4e60\u7684\u9ad8\u6548\u591a\u5c3a\u5ea6\u6ce8\u610f\u529b<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143041421<\/td>\n<\/tr>\n |
\n| 3<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011 MSDA（Multi-Scale Dilated Attention）：\u591a\u5c3a\u5ea6\u7a7a\u6d1e\u6ce8\u610f\u529b<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143052542<\/td>\n<\/tr>\n |
\n| 4<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011iRMB： \u5012\u7f6e\u6b8b\u5dee\u79fb\u52a8\u5757，\u5373\u63d2\u5373\u7528\u7684\u8f7b\u91cf\u6ce8\u610f\u529b<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143052993<\/td>\n<\/tr>\n |
\n| 5<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011CoTAttention:\u4e0a\u4e0b\u6587\u8f6c\u6362\u5668\u6ce8\u610f\u529b<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143099154<\/td>\n<\/tr>\n |
\n| 6<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011GAM（Global Attention Mechanism）：\u5168\u5c40\u6ce8\u610f\u529b\u673a\u5236，\u51cf\u5c11\u4fe1\u606f\u635f\u5931\u5e76\u653e\u5927\u5168\u5c40\u7ef4\u5ea6\u4ea4\u4e92\u7279\u5f81<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143099416<\/td>\n<\/tr>\n |
\n| 7<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011MLCA(Mixed local channel attention):\u6df7\u5408\u5c40\u90e8\u901a\u9053\u6ce8\u610f\u529b<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143099740<\/td>\n<\/tr>\n |
\n| 8<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011 MHSA：\u591a\u5934\u81ea\u6ce8\u610f\u529b（Multi-Head Self-Attention）<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143107350<\/td>\n<\/tr>\n |
\n| 9<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011SimAM：\u8f7b\u91cf\u7ea7\u6ce8\u610f\u529b\u673a\u5236，\u89e3\u9501\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u65b0\u6f5c\u529b<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143107915<\/td>\n<\/tr>\n |
\n| 10<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011NAM：\u57fa\u4e8e\u5f52\u4e00\u5316\u7684\u6ce8\u610f\u529b\u6a21\u5757，\u5c06\u6743\u91cd\u7a00\u758f\u60e9\u7f5a\u5e94\u7528\u4e8e\u6ce8\u610f\u529b\u673a\u5236\u4e2d，\u63d0\u9ad8\u6548\u7387\u6027\u80fd<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143113290<\/td>\n<\/tr>\n |
\n| 11<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011SKAttention：\u805a\u5408\u5206\u652f\u4fe1\u606f，\u5b9e\u73b0\u81ea\u9002\u5e94\u8c03\u6574\u611f\u53d7\u91ce\u5927\u5c0f<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143114359<\/td>\n<\/tr>\n |
\n| 12<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011DoubleAttention: \u53cc\u91cd\u6ce8\u610f\u529b\u673a\u5236，\u5168\u5c40\u7279\u5f81\u805a\u5408\u548c\u5206\u914d<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143134797<\/td>\n<\/tr>\n |
\n| 13<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011TripletAttention：\u8f7b\u91cf\u6709\u6548\u7684\u4e09\u5143\u6ce8\u610f\u529b<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143194262<\/td>\n<\/tr>\n |
\n| 14<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011ECA（Efficient Channel Attention）：\u9ad8\u6548\u901a\u9053\u6ce8\u610f \u6a21\u5757，\u964d\u4f4e\u53c2\u6570\u91cf<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143194441<\/td>\n<\/tr>\n |
\n| 15<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011MSCA: \u591a\u5c3a\u5ea6\u5377\u79ef\u6ce8\u610f\u529b，\u5373\u63d2\u5373\u7528，\u52a9\u529b\u5c0f\u76ee\u6807\u68c0\u6d4b<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143194704<\/td>\n<\/tr>\n |
\n| 16<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011CoordAttention： \u7528\u4e8e\u79fb\u52a8\u7aef\u7684\u9ad8\u6548\u5750\u6807\u6ce8\u610f\u529b\u673a\u5236<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143228656<\/td>\n<\/tr>\n |
\n| 17<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011DAT（Deformable Attention）：\u53ef\u53d8\u6027\u6ce8\u610f\u529b<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143229191<\/td>\n<\/tr>\n |
\n| 18<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011ContextAggregation : \u4e0a\u4e0b\u6587\u805a\u5408\u6a21\u5757，\u6355\u6349\u5c40\u90e8\u548c\u5168\u5c40\u4e0a\u4e0b\u6587，\u589e\u5f3a\u7279\u5f81\u8868\u793a<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143231533<\/td>\n<\/tr>\n |
\n| 19<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011EffectiveSE : \u6539\u8fdb\u7684\u901a\u9053\u6ce8\u610f\u529b\u6a21\u5757，\u51cf\u5c11\u8ba1\u7b97\u590d\u6742\u6027\u548c\u4fe1\u606f\u4e22\u5931<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143233243<\/td>\n<\/tr>\n |
\n| 20<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011S2Attention : \u6574\u5408\u7a7a\u95f4\u4f4d\u79fb\u548c\u5206\u5272\u6ce8\u610f\u529b<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143234560<\/td>\n<\/tr>\n |
\n| 21<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011Polarized Self-Attention: \u6781\u5316\u81ea\u6ce8\u610f\u529b ,\u66f4\u7cbe\u7ec6\u7684\u53cc\u91cd\u6ce8\u610f\u529b\u5efa\u6a21\u7ed3\u6784<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143234817<\/td>\n<\/tr>\n |
\n| 22<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011LSKNet(Large Selective Kernel Network ):\u7a7a\u95f4\u9009\u62e9\u6ce8\u610f\u529b<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143236398<\/td>\n<\/tr>\n |
\n| 23<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011CPCA(Channel prior convolutional attention)\u4e2d\u7684\u901a\u9053\u6ce8\u610f\u529b,\u589e\u5f3a\u7279\u5f81\u8868\u5f81\u80fd\u529b<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143237411<\/td>\n<\/tr>\n |
\n| 24<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011MCA：\u7528\u4e8e\u56fe\u50cf\u8bc6\u522b\u7684\u6df1\u5ea6\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u4e2d\u7684\u591a\u7ef4\u534f\u4f5c\u6ce8\u610f\u529b<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143237904<\/td>\n<\/tr>\n |
\n| 25<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011HCF-Net \u4e4b PPA：\u5e76\u884c\u5316\u6ce8\u610f\u529b\u8bbe\u8ba1 | \u5c0f\u76ee\u6807<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143248254<\/td>\n<\/tr>\n |
\n| 26<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011LS-YOLO MSFE：\u65b0\u9896\u7684\u591a\u5c3a\u5ea6\u7279\u5f81\u63d0\u53d6\u6a21\u5757 | \u5c0f\u76ee\u6807\/\u9065\u611f<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143248466<\/td>\n<\/tr>\n |
\n| 27<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011Sea_Attention: Squeeze-enhanced Axial Attention,\u7ed3\u5408\u5168\u5c40\u8bed\u4e49\u63d0\u53d6\u548c\u5c40\u90e8\u7ec6\u8282\u589e\u5f3a<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143249013<\/td>\n<\/tr>\n |
\n| 28<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011Non-Local：\u57fa\u4e8e\u975e\u5c40\u90e8\u5747\u503c\u53bb\u566a\u6ee4\u6ce2\u7684\u81ea\u6ce8\u610f\u529b\u6a21\u578b<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143249185<\/td>\n<\/tr>\n |
\n| 29<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011RCS-OSA :\u51cf\u5c11\u901a\u9053\u7684\u7a7a\u95f4\u5bf9\u8c61\u6ce8\u610f\u529b，\u9ad8\u6548\u4e14\u6da8\u70b9<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143256430<\/td>\n<\/tr>\n |
\n| 30<\/td>\n | \u3010YOLOv11\u6539\u8fdb -\u6ce8\u610f\u529b\u673a\u5236\u3011SGE(Spatial Group-wise Enhance)：\u8f7b\u91cf\u7ea7\u7a7a\u95f4\u5206\u7ec4\u589e\u5f3a\u6a21\u5757<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143257237<\/td>\n<\/tr>\n |
\n| 31<\/td>\n | \u3010YOLOv11\u6539\u8fdb -\u6ce8\u610f\u529b\u673a\u5236\u3011Mamba\u4e4bMLLAttention ：\u57fa\u4e8eMamba\u548c\u7ebf\u6027\u6ce8\u610f\u529bTransformer\u7684\u6a21\u578b<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143258679<\/td>\n<\/tr>\n |
\n| 32<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011Gather-Excite : \u63d0\u9ad8\u7f51\u7edc\u6355\u83b7\u957f\u8ddd\u79bb\u7279\u5f81\u4ea4\u4e92\u7684\u80fd\u529b<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143258799<\/td>\n<\/tr>\n |
\n| 33<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011 CAA： \u4e0a\u4e0b\u6587\u951a\u70b9\u6ce8\u610f\u529b\u6a21\u5757，\u5904\u7406\u5c3a\u5ea6\u53d8\u5316\u5927\u6216\u957f\u5f62\u76ee\u6807<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143259390<\/td>\n<\/tr>\n |
\n| 34<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011Focused Linear Attention :\u5168\u65b0\u7684\u805a\u7126\u7ebf\u6027\u6ce8\u610f\u529b\u6a21\u5757<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143259521<\/td>\n<\/tr>\n |
\n| 35<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011 CascadedGroupAttention：\u7ea7\u8054\u7ec4\u6ce8\u610f\u529b，\u589e\u5f3a\u89c6\u89c9Transformer\u4e2d\u591a\u5934\u81ea\u6ce8\u610f\u529b\u673a\u5236\u7684\u6548\u7387\u548c\u6709\u6548\u6027<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143261498<\/td>\n<\/tr>\n |
\n| 36<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011SENetV2: \u7528\u4e8e\u901a\u9053\u548c\u5168\u5c40\u8868\u793a\u7684\u805a\u5408\u7a20\u5bc6\u5c42，\u7ed3\u5408SE\u6a21\u5757\u548c\u5bc6\u96c6\u5c42\u6765\u589e\u5f3a\u7279\u5f81\u8868\u793a<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143261561<\/td>\n<\/tr>\n |
\n| 37<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011 CBAM：\u9488\u5bf9\u5377\u79ef\u795e\u7ecf\u7f51\u7edc（CNN）\u8bbe\u8ba1\u7684\u65b0\u578b\u6ce8\u610f\u529b\u673a\u5236<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143261800<\/td>\n<\/tr>\n |
\n| 38<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011 ParNet :\u5e76\u884c\u5b50\u7f51\u7edc\u7ed3\u6784\u5b9e\u73b0\u4f4e\u6df1\u5ea6\u4f46\u9ad8\u6027\u80fd\u7684\u795e\u7ecf\u7f51\u7edc\u67b6\u6784<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143289302<\/td>\n<\/tr>\n |
\n| 39<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011GC Block （GlobalContext）: \u5168\u5c40\u4e0a\u4e0b\u6587\u5757，\u9ad8\u6548\u6355\u83b7\u7279\u5f81\u56fe\u4e2d\u7684\u5168\u5c40\u4f9d\u8d56\u5173\u7cfb<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143315500<\/td>\n<\/tr>\n |
\n| 40<\/td>\n | \u3010YOLO11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011Dual-ViT(Dual Vision Transformer)：\u5c06\u81ea\u6ce8\u610f\u529b\u7684\u5efa\u6a21\u5206\u89e3\u4e3a\u5bf9\u5168\u5c40\u8bed\u4e49\u548c\u7ec6\u7c92\u5ea6\u7279\u5f81\u7684\u5b66\u4e60<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143321942<\/td>\n<\/tr>\n |
\n| 41<\/td>\n | \u3010YOLO11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011HAT(Hybrid Attention Transformer,)\u8d85\u5206\u8fa8\u7387\u6df7\u5408\u6ce8\u610f\u529b\u673a\u5236<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143323349<\/td>\n<\/tr>\n |
\n| 42<\/td>\n | \u3010YOLO11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011ELA(Efficient Local Attention)：\u6df1\u5ea6\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u9ad8\u6548\u5c40\u90e8\u6ce8\u610f\u529b\u673a\u5236<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143324666<\/td>\n<\/tr>\n |
\n| 43<\/td>\n | \u3010YOLO11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011STA(Super Token Attention) \u8d85\u7ea7\u4ee4\u724c\u6ce8\u610f\u529b\u673a\u5236<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143350954<\/td>\n<\/tr>\n |
\n| 44<\/td>\n | \u3010YOLO11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011Deformable-LKA Attention：\u53ef\u53d8\u5f62\u5927\u6838\u6ce8\u610f\u529b<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143351139<\/td>\n<\/tr>\n |
\n| 45<\/td>\n | \u3010YOLO11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011BRA(bi-level routing attention )\u53cc\u5c42\u8def\u7531\u6ce8\u610f\u529b<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143351336<\/td>\n<\/tr>\n |
\n| 46<\/td>\n | \u3010YOLO11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011GCT(Gaussian Context Transformer)：\u9ad8\u65af\u4e0a\u4e0b\u6587\u53d8\u6362\u5668<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143370762<\/td>\n<\/tr>\n |
\n| 47<\/td>\n | \u3010YOLO11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011HCF-Net \u4e4b MDCR：\u591a\u7a00\u91ca\u901a\u9053\u7ec6\u5316\u5668\u6a21\u5757 ，\u4ee5\u4e0d\u540c\u7684\u7a00\u91ca\u7387\u6355\u6349\u5404\u79cd\u611f\u53d7\u91ce\u5927\u5c0f\u7684\u7a7a\u95f4\u7279\u5f81 | \u5c0f\u76ee\u6807<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143390431<\/td>\n<\/tr>\n |
\n| 48<\/td>\n | \u3010YOLO11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011HCF-Net \u4e4b DASI： \u7ef4\u5ea6\u611f\u77e5\u9009\u62e9\u6027\u6574\u5408\u6a21\u5757 | \u5c0f\u76ee\u6807<\/td>\n | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143407057<\/td>\n<\/tr>\n |
\n| <\/td>\n | <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n |
\n| <\/td>\n | <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n |
\n| <\/td>\n | <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\nCONV<\/h3>\n\n\u6807\u9898\u521b\u65b0\u70b9\u94fe\u63a5<\/tr>\n \n\n| 1<\/td>\n | \u3010YOLOv11\u6539\u8fdb-\u5377\u79efConv \u3011 AKConv(\u53ef\u6539\u53d8\u6838\u5377\u79ef)：\u4efb\u610f\u6570\u91cf\u7684\u53c2\u6570\u548c\u4efb\u610f\u91c7\u6837\u5f62\u72b6\u7684\u5373\u63d2\u5373\u7528\u7684\u5377\u79ef<\/td>\n | CONV<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/142998598<\/td>\n<\/tr>\n | \n| 2<\/td>\n | \u3010YOLOv11\u6539\u8fdb-\u5377\u79efConv\u3011 ParameterNet：DynamicConv(Dynamic Convolution)：2024\u6700\u65b0\u52a8\u6001\u5377\u79ef<\/td>\n | CONV<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143023455<\/td>\n<\/tr>\n | \n| 3<\/td>\n | \u3010YOLOv11\u6539\u8fdb-\u5377\u79efConv\u3011 ODConv(Omni-Dimensional Dynamic Convolution)：\u5168\u7ef4\u5ea6\u52a8\u6001\u5377\u79ef<\/td>\n | CONV<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143023997<\/td>\n<\/tr>\n | \n| 4<\/td>\n | \u3010YOLOv11\u6539\u8fdb-\u5377\u79efConv\u3011 SAConv(Switchable Atrous Convolution)：\u53ef\u5207\u6362\u7684\u7a7a\u6d1e\u5377\u79ef<\/td>\n | CONV<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143098353<\/td>\n<\/tr>\n | \n| 5<\/td>\n | \u3010YOLOv11\u6539\u8fdb-\u5377\u79efConv\u3011DualConv( Dual Convolutional)：\u7528\u4e8e\u8f7b\u91cf\u7ea7\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u7684\u53cc\u5377\u79ef\u6838<\/td>\n | CONV<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143099245<\/td>\n<\/tr>\n | \n| 6<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u5377\u79efConv\u3011SPConv：\u53bb\u9664\u7279\u5f81\u56fe\u4e2d\u7684\u5197\u4f59，\u5927\u5e45\u51cf\u5c11\u53c2\u6570\u6570\u91cf | \u5c0f\u76ee\u6807<\/td>\n | CONV<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143194890<\/td>\n<\/tr>\n | \n| 7<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u5377\u79efConv\u3011SCConv ：\u5373\u63d2\u5373\u7528\u7684\u7a7a\u95f4\u548c\u901a\u9053\u91cd\u5efa\u5377\u79ef<\/td>\n | CONV<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143207088<\/td>\n<\/tr>\n | \n| 8<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u5377\u79efConv\u3011 SPD-Conv\u7a7a\u95f4\u6df1\u5ea6\u8f6c\u6362\u5377\u79ef，\u5904\u7406\u4f4e\u5206\u8fa8\u7387\u56fe\u50cf\u548c\u5c0f\u76ee\u6807\u95ee\u9898<\/td>\n | CONV<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143220921<\/td>\n<\/tr>\n | \n| 9<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u5377\u79efConv\u3011RFAConv：\u611f\u53d7\u91ce\u6ce8\u610f\u529b\u5377\u79ef，\u521b\u65b0\u7a7a\u95f4\u6ce8\u610f\u529b<\/td>\n | CONV<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143221086<\/td>\n<\/tr>\n | \n| 10<\/td>\n | \u3010YOLOv11\u6539\u8fdb-\u5377\u79efConv\u3011 OREPA(Online Convolutional Re-parameterization)：\u5728\u7ebf\u5377\u79ef\u91cd\u53c2\u6570\u5316<\/td>\n | CONV<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143221336<\/td>\n<\/tr>\n | \n| 11<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u5377\u79efConv\u3011 RFB (Receptive Field Block)：\u591a\u5206\u652f\u5377\u79ef\u5757<\/td>\n | CONV<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143237656<\/td>\n<\/tr>\n | \n| 12<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u5377\u79efConv\u3011Diverse Branch Block（DBB）：\u591a\u6837\u5206\u652f\u6a21\u5757<\/td>\n | CONV<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143301409<\/td>\n<\/tr>\n | \n| 13<\/td>\n | \u3010YOLO11\u6539\u8fdb – \u5377\u79efConv\u3011RefConv：\u91cd\u65b0\u53c2\u6570\u5316\u7684\u91cd\u805a\u7126\u5377\u79ef\u6a21\u5757<\/td>\n | CONV<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143351548<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\u5176\u4ed6<\/h3>\n\n\u6807\u9898\u521b\u65b0\u70b9\u94fe\u63a5<\/tr>\n \n\n| 1<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6df7\u5408\u5377\u79ef\u6ce8\u610f\u529b\u673a\u5236\u3011ACmix(Mixed Self-Attention and Convolution) ：\u81ea\u6ce8\u610f\u529b\u4e0e\u5377\u79ef\u6df7\u5408\u6a21\u578b<\/td>\n | \u6df7\u5408\u5377\u79ef\u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/142981217<\/td>\n<\/tr>\n | \n| 2<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u6ce8\u610f\u529b\u673a\u5236\u3011CAFM(Convolution and Attention Fusion Module):\u5377\u79ef\u548c\u6ce8\u610f\u529b\u878d\u5408\u6a21\u5757<\/td>\n | \u6df7\u5408\u5377\u79ef\u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143248692<\/td>\n<\/tr>\n | \n| 3<\/td>\n | \u3010YOLOv11\u6539\u8fdb\u3011ADown：YOLOv9\u8f7b\u91cf\u5316\u4e0b\u91c7\u6837\u64cd\u4f5c<\/td>\n | \u4e0b\u91c7\u6837<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143315609<\/td>\n<\/tr>\n | \n| 4<\/td>\n | \u3010YOLOv11\u6539\u8fdb – SPPF\u3011\u53d1\u8bba\u6587\u795e\u5668！LSKA\u6ce8\u610f\u529b\u6539\u8fdbSPPF,\u589e\u5f3a\u591a\u5c3a\u5ea6\u7279\u5f81\u63d0\u53d6\u80fd\u529b，\u9ad8\u6548\u6da8\u70b9！！！<\/td>\n | SPPF<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143258938<\/td>\n<\/tr>\n | \n| 5<\/td>\n | \u3010YOLOv11\u6539\u8fdb-SPPF\u3011 Focal Modulation :\u4f7f\u7528\u7126\u70b9\u8c03\u5236\u6a21\u5757\u66ff\u4ee3SPPF<\/td>\n | SPPF<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143280849<\/td>\n<\/tr>\n | \n| 6<\/td>\n | \u3010YOLO11\u6539\u8fdb – SPPF\u3011 AIFI : \u57fa\u4e8e\u6ce8\u610f\u529b\u7684\u5c3a\u5ea6\u5185\u7279\u5f81\u4ea4\u4e92，\u4fdd\u6301\u9ad8\u51c6\u786e\u5ea6\u7684\u540c\u65f6\u51cf\u5c11\u8ba1\u7b97\u6210\u672c<\/td>\n | SPPF<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143388430<\/td>\n<\/tr>\n | \n| 7<\/td>\n | \u3010YOLO11\u6539\u8fdb – \u91c7\u6837\u3011HWD: Haar\u5c0f\u6ce2\u964d\u91c7\u6837,\u7528\u4e8e\u8bed\u4e49\u5206\u5272\u7684\u964d\u91c7\u6837\u6a21\u5757，\u51cf\u5c11\u7279\u5f81\u56fe\u7684\u7a7a\u95f4\u5206\u8fa8\u7387<\/td>\n | \u91c7\u6837<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143429137<\/td>\n<\/tr>\n | \n| <\/td>\n | <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\u7279\u5f81\u878d\u5408<\/h3>\n\n\u6807\u9898\u521b\u65b0\u70b9\u94fe\u63a5<\/tr>\n \n\n| 1<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u7279\u5f81\u878d\u5408\u3011SDI：\u591a\u5c42\u6b21\u7279\u5f81\u878d\u5408\u6a21\u5757，\u66ff\u6362contact\u64cd\u4f5c<\/td>\n | \u7279\u5f81\u878d\u5408<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143233436<\/td>\n<\/tr>\n | \n| 2<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u7279\u5f81\u878d\u5408\u3011 GELAN:YOLOV9 \u901a\u7528\u9ad8\u6548\u5c42\u805a\u5408\u7f51\u7edc，\u9ad8\u6548\u4e14\u6da8\u70b9<\/td>\n | \u7279\u5f81\u878d\u5408<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143256244<\/td>\n<\/tr>\n | \n| 3<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u7279\u5f81\u878d\u5408\u3011Slim-neck：\u76ee\u6807\u68c0\u6d4b\u65b0\u8303\u5f0f，\u65e2\u8f7b\u91cf\u53c8\u6da8\u70b9<\/td>\n | \u7279\u5f81\u878d\u5408<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143314827<\/td>\n<\/tr>\n | \n| 4<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u7279\u5f81\u878d\u5408NECK\u3011CARAFE：\u8f7b\u91cf\u7ea7\u65b0\u578b\u4e0a\u91c7\u6837\u7b97\u5b50，\u52a9\u529b\u7ec6\u8282\u63d0\u5347<\/td>\n | \u7279\u5f81\u878d\u5408<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143134074<\/td>\n<\/tr>\n | \n| 5<\/td>\n | \u3010YOLOv11\u6539\u8fdb – \u7279\u5f81\u878d\u5408\u3011DySample ：\u8d85\u8f7b\u91cf\u7ea7\u4e14\u9ad8\u6548\u7684\u52a8\u6001\u4e0a\u91c7\u6837\u5668<\/td>\n | \u7279\u5f81\u878d\u5408<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143248563<\/td>\n<\/tr>\n | \n| 6<\/td>\n | \u3010YOLO11\u6539\u8fdb – \u7279\u5f81\u878d\u5408\u3011FFCA-YOLO: \u63d0\u5347\u9065\u611f\u56fe\u50cf\u4e2d\u5c0f\u76ee\u6807\u68c0\u6d4b\u7684\u7cbe\u5ea6\u548c\u9c81\u68d2\u6027<\/td>\n | \u7279\u5f81\u878d\u5408<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143386943<\/td>\n<\/tr>\n | \n| 7<\/td>\n | \u3010YOLO11\u6539\u8fdb – \u7279\u5f81\u878d\u5408\u3011 GIRAFFEDET\u4e4bGFPN ：\u5e7f\u4e49\u7279\u5f81\u91d1\u5b57\u5854\u7f51\u7edc，\u9ad8\u6548\u5730\u878d\u5408\u591a\u5c3a\u5ea6\u7279\u5f81<\/td>\n | \u7279\u5f81\u878d\u5408<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143530088<\/td>\n<\/tr>\n | \n| 8<\/td>\n | \u3010YOLO11\u6539\u8fdb – \u7279\u5f81\u878d\u5408\u3011ASF-YOLO：SSFF\u878d\u5408+TPE\u7f16\u7801+CPAM\u6ce8\u610f\u529b，\u63d0\u9ad8\u68c0\u6d4b\u548c\u5206\u5272\u80fd\u529b<\/td>\n | \u7279\u5f81\u878d\u5408<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143530787<\/td>\n<\/tr>\n | \n| <\/td>\n | <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n | \n| <\/td>\n | <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\u4e3b\u5e72<\/h3>\n\n\u6807\u9898\u521b\u65b0\u70b9\u94fe\u63a5<\/tr>\n \n\n| 1<\/td>\n | \u3010YOLOv11\u6539\u8fdb – Backbone\u4e3b\u5e72\u3011EfficientRep：\u4e00\u79cd\u65e8\u5728\u63d0\u9ad8\u786c\u4ef6\u6548\u7387\u7684RepVGG\u98ce\u683c\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u67b6\u6784<\/td>\n | Backbone<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143315275<\/td>\n<\/tr>\n | \n| 2<\/td>\n | \u3010YOLOv11\u6539\u8fdb – Backbone\u4e3b\u5e72\u3011\u6e05\u534e\u5927\u5b66CloFormer AttnConv ：\u5229\u7528\u5171\u4eab\u6743\u91cd\u548c\u4e0a\u4e0b\u6587\u611f\u77e5\u6743\u91cd\u589e\u5f3a\u5c40\u90e8\u611f\u77e5，\u6ce8\u610f\u529b\u673a\u5236\u4e0e\u5377\u79ef\u7684\u5b8c\u7f8e\u878d\u5408<\/td>\n | Backbone<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143315038<\/td>\n<\/tr>\n | \n| 3<\/td>\n | \u3010YOLO11\u6539\u8fdb – Backbone\u4e3b\u5e72\u30112024\u6700\u65b0\u8f7b\u91cf\u5316\u7f51\u7edcMobileNetV4\u66ff\u6362YOLO11\u7684BackBone<\/td>\n | Backbone<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143494907<\/td>\n<\/tr>\n | \n| 4<\/td>\n | \u3010YOLO11\u6539\u8fdb – Backbone\u4e3b\u5e72\u3011\u5fae\u8f6f EfficientViT\u66ff\u6362YOLO11\u7684BackBone: \u9ad8\u6548\u89c6\u89c9transformer\u4e0e\u7ea7\u8054\u7ec4\u6ce8\u610f\u529b，\u5e73\u8861\u901f\u5ea6\u4e0e\u7cbe\u5ea6<\/td>\n | Backbone<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143496026<\/td>\n<\/tr>\n | \n| 5<\/td>\n | \u3010YOLO11\u6539\u8fdb – Backbone\u4e3b\u5e72\u3011FasterNet：\u57fa\u4e8ePConv（\u90e8\u5206\u5377\u79ef）\u7684\u795e\u7ecf\u7f51\u7edc，\u63d0\u5347\u7cbe\u5ea6\u4e0e\u901f\u5ea6，\u964d\u4f4e\u53c2\u6570\u91cf\u3002<\/td>\n | Backbone<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143506618<\/td>\n<\/tr>\n | \n| 6<\/td>\n | \u3010YOLO11\u6539\u8fdb\u3011SwinTransformer\u9aa8\u5e72\u7f51\u7edc： \u57fa\u4e8e\u4f4d\u79fb\u7a97\u53e3\u7684\u5c42\u6b21\u5316\u89c6\u89c9\u53d8\u6362\u5668<\/td>\n | Backbone<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143529324<\/td>\n<\/tr>\n | \n| <\/td>\n | <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n | \n| <\/td>\n | <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n | \n| <\/td>\n | <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\nC3k2\u878d\u5408<\/h3>\n\n\u6807\u9898\u521b\u65b0\u70b9\u94fe\u63a5<\/tr>\n \n\n| 1<\/td>\n | \u3010YOLO11\u6539\u8fdb – C3k2\u878d\u5408\u3011C3k2\u878d\u5408SCConv(Self-Calibrated Convolutions): \u81ea\u6821\u51c6\u5377\u79ef<\/td>\n | C3k2\u878d\u5408 | \u5377\u79efConv<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143335641<\/td>\n<\/tr>\n | \n| 2<\/td>\n | \u3010YOLO11\u6539\u8fdb – C3k2\u878d\u5408\u3011C3k2\u878d\u5408SCConv( Spatial and Channel Reconstruction Convolution) ：\u5373\u63d2\u5373\u7528\u7684\u7a7a\u95f4\u548c\u901a\u9053\u91cd\u5efa\u5377\u79ef<\/td>\n | C3k2\u878d\u5408 | \u5377\u79efConv<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143335895<\/td>\n<\/tr>\n | \n| 3<\/td>\n | \u3010YOLO11\u6539\u8fdb – C3k2\u878d\u5408\u3011C3k2\u878d\u5408Diverse Branch Block（DBB）\u4e8c\u6b21\u521b\u65b0：\u591a\u6837\u5206\u652f\u6a21\u5757<\/td>\n | C3k2\u878d\u5408 | \u5377\u79efConv<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143350687<\/td>\n<\/tr>\n | \n| 4<\/td>\n | \u3010YOLO11\u6539\u8fdb – C3k2\u878d\u5408\u3011C3k2\u878d\u5408PPA\u4e8c\u6b21\u521b\u65b0：\u5e76\u884c\u5316\u6ce8\u610f\u529b\u8bbe\u8ba1 | \u5c0f\u76ee\u6807<\/td>\n | C3k2\u878d\u5408 | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143332221<\/td>\n<\/tr>\n | \n| 5<\/td>\n | \u3010YOLO11\u6539\u8fdb – C3k2\u878d\u5408\u3011C3k2\u878d\u5408YOLO-MS\u7684MSBlock : \u5206\u5c42\u7279\u5f81\u878d\u5408\u7b56\u7565，\u8f7b\u91cf\u5316\u7f51\u7edc\u7ed3\u6784<\/td>\n | C3k2\u878d\u5408 | \u5377\u79efConv<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143358187<\/td>\n<\/tr>\n | \n| 6<\/td>\n | \u3010YOLO11\u6539\u8fdb – C3k2\u878d\u5408\u3011C3k2\u878d\u5408\u52a8\u6001\u86c7\u5f62\u5377\u79ef（Dynamic Snake Convolution）\u7528\u4e8e\u7ba1\u72b6\u7ed3\u6784\u5206\u5272\u4efb\u52a1<\/td>\n | C3k2\u878d\u5408 | \u5377\u79efConv<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143431559<\/td>\n<\/tr>\n | \n| 7<\/td>\n | \u3010YOLO11\u6539\u8fdb – C3k2\u878d\u5408\u3011C3k2DWRSeg\u4e8c\u6b21\u521b\u65b0C3k2_DWR：\u6269\u5f20\u5f0f\u6b8b\u5dee\u5206\u5272\u7f51\u7edc，\u63d0\u9ad8\u7279\u5f81\u63d0\u53d6\u6548\u7387\u548c\u591a\u5c3a\u5ea6\u4fe1\u606f\u83b7\u53d6\u80fd\u529b，\u52a9\u529b\u5c0f\u76ee\u6807\u68c0\u6d4b<\/td>\n | C3k2\u878d\u5408 | \u5377\u79efConv<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143435663<\/td>\n<\/tr>\n | \n| 8<\/td>\n | \u3010YOLO11\u6539\u8fdb – C3k2\u878d\u5408\u3011C3k2\u878d\u5408DWRSeg\u4e8c\u6b21\u521b\u65b0C3k2_DWRSeg：\u6269\u5f20\u5f0f\u6b8b\u5dee\u5206\u5272\u7f51\u7edc，\u63d0\u9ad8\u7279\u5f81\u63d0\u53d6\u6548\u7387\u548c\u591a\u5c3a\u5ea6\u4fe1\u606f\u83b7\u53d6\u80fd\u529b，\u52a9\u529b\u5c0f\u76ee\u6807\u68c0\u6d4b<\/td>\n | C3k2\u878d\u5408 | \u5377\u79efConv<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143494332<\/td>\n<\/tr>\n | \n| 9<\/td>\n | \u3010YOLO11\u6539\u8fdb – C3k2\u878d\u5408\u3011C3k2\u878d\u5408Deformable-LKA\u4e8c\u6b21\u521b\u65b0C3k2_DLKA：\u53ef\u53d8\u5f62\u5927\u6838\u6ce8\u610f\u529b<\/td>\n | C3k2\u878d\u5408 | \u6ce8\u610f\u529b\u673a\u5236<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143494142<\/td>\n<\/tr>\n | \n| 10<\/td>\n | \u3010YOLO11\u6539\u8fdb – \u7279\u5f81\u878d\u5408\u3011C3k2\u878d\u5408ODConv(Omni-Dimensional Dynamic Convolution)：\u5168\u7ef4\u5ea6\u52a8\u6001\u5377\u79ef<\/td>\n | C3k2\u878d\u5408 | \u5377\u79efConv<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143532233<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\u591a\u6a21\u5757\u878d\u5408\u6539\u8fdb<\/h3>\n\n\u6807\u9898\u521b\u65b0\u70b9\u94fe\u63a5<\/tr>\n \n\n| 1<\/td>\n | \u3010YOLO11\u6539\u8fdb- \u591a\u6a21\u5757\u878d\u5408\u6539\u8fdb\u3011CPCA + CARAFE : \u901a\u9053\u5148\u9a8c\u5377\u79ef\u6ce8\u610f\u529b\u4e0e\u4e0a\u91c7\u6837\u7b97\u5b50\u7684\u878d\u5408\u6539\u8fdb，\u52a9\u529b\u7ec6\u8282\u63d0\u5347！<\/td>\n | \u591a\u6a21\u5757\u878d\u5408\u6539\u8fdb<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143428926<\/td>\n<\/tr>\n | \n| 2<\/td>\n | \u3010YOLO11\u6539\u8fdb- \u591a\u6a21\u5757\u878d\u5408\u6539\u8fdb\u3011GhostConv + ContextAggregation \u5e7d\u7075\u5377\u79ef\u4e0e\u4e0a\u4e0b\u6587\u805a\u5408\u6a21\u5757\u878d\u5408\u6539\u8fdb，\u52a9\u529b\u5c0f\u76ee\u6807\u9ad8\u6548\u6da8\u70b9<\/td>\n | \u591a\u6a21\u5757\u878d\u5408\u6539\u8fdb<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143434474<\/td>\n<\/tr>\n | \n| 3<\/td>\n | \u3010YOLO11\u6539\u8fdb- \u591a\u6a21\u5757\u878d\u5408\u6539\u8fdb\u3011ResBlock + CBAM: \u57fa\u4e8eResBlock\u7684\u901a\u9053+\u7a7a\u95f4\u6ce8\u610f\u529b，\u589e\u5f3a\u7279\u8bc1\u63d0\u53d6<\/td>\n | \u591a\u6a21\u5757\u878d\u5408\u6539\u8fdb<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143369644<\/td>\n<\/tr>\n | \n| 4<\/td>\n | \u3010YOLO11\u6539\u8fdb- \u591a\u6a21\u5757\u878d\u5408\u6539\u8fdb\u3011ResBlock + GAM: \u57fa\u4e8eResBlock\u7684\u5168\u5c40\u6ce8\u610f\u529b\u673a\u5236ResBlock_ GAM，\u589e\u5f3a\u7279\u8bc1\u63d0\u53d6<\/td>\n | \u591a\u6a21\u5757\u878d\u5408\u6539\u8fdb<\/td>\n | https:\/\/blog.csdn.net\/shangyanaf\/article\/details\/143369878<\/td>\n<\/tr>\n | \n| <\/td>\n | <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n | \n| <\/td>\n | <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n | \n| <\/td>\n | <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n | \n| <\/td>\n | <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n | \n| <\/td>\n | <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n | \n| <\/td>\n | <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n | \n| <\/td>\n | <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n | \n| <\/td>\n | <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n | \n| <\/td>\n | <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n | \n| <\/td>\n | <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n | \n| <\/td>\n | <\/td>\n | <\/td>\n | <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n – YOLO\u7b97\u6cd5 – YOLO11 – YOLOV11 – \u76ee\u6807\u68c0\u6d4b – \u673a\u5668\u5b66\u4e60 – YOLO\u7b97\u6cd5\u662f\u4ec0\u4e48 – YOLO\u7b97\u6cd5\u539f\u7406 – YOLO11\u6559\u7a0b – YOLO11\u6e90\u7801\u89e3\u6790 – YOLOV11\u5165\u95e8\u6307\u5357 – YOLOV11\u9879\u76ee\u5b9e\u6218 – \u76ee\u6807\u68c0\u6d4b\u6280\u672f – YOLO\u5728\u76ee\u6807\u68c0\u6d4b\u4e2d\u7684\u5e94\u7528 – \u673a\u5668\u5b66\u4e60\u4e0eYOLO\u7b97\u6cd5 – \u6df1\u5ea6\u5b66\u4e60\u4e0eYOLOV11\u7684\u7ed3\u5408 – YOLO11\u56fe\u50cf\u8bc6\u522b – YOLOV11\u6a21\u578b\u8bad\u7ec3 – YOLO\u7b97\u6cd5\u4f18\u5316 – YOLO\u76ee\u6807\u68c0\u6d4b\u5e94\u7528\u573a\u666f – \u673a\u5668\u5b66\u4e60\u5728\u76ee\u6807\u68c0\u6d4b\u4e2d\u7684\u5e94\u7528 – \u8ba1\u7b97\u673a\u89c6\u89c9\u4e0eYOLO\u7b97\u6cd5 – YOLO\u7b97\u6cd5\u6539\u8fdb\u65b9\u6cd5 – YOLOV11\u5728\u5c0f\u76ee\u6807\u68c0\u6d4b\u4e2d\u7684\u5e94\u7528 – YOLO11\u5982\u4f55\u63d0\u9ad8\u7cbe\u5ea6 – YOLO\u4e0e\u6df1\u5ea6\u5b66\u4e60\u76ee\u6807\u68c0\u6d4b – YOLO11\u6700\u65b0\u7248\u672c – YOLOV11\u521b\u65b0\u70b9 – YOLO11\u4e0eYOLOv8\u5bf9\u6bd4 – YOLO\u76ee\u6807\u68c0\u6d4b\u6700\u4f73\u5b9e\u8df5 – \u76ee\u6807\u68c0\u6d4b\u7b97\u6cd5\u53d1\u5c55\u8d8b\u52bf – YOLO\u7b97\u6cd5\u5728\u667a\u80fd\u5b89\u9632\u4e2d\u7684\u5e94\u7528 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