{"id":339,"date":"2025-11-03T02:16:20","date_gmt":"2025-11-02T18:16:20","guid":{"rendered":"https:\/\/snaili.com\/?p=339"},"modified":"2025-11-05T01:44:14","modified_gmt":"2025-11-04T17:44:14","slug":"%e5%9f%ba%e4%ba%8e%e6%97%b6%e9%97%b4%e5%ba%8f%e5%88%97%e5%bb%ba%e6%a8%a1%e7%9a%84%e8%a7%86%e9%a2%91%e5%b8%a7%e5%8a%a8%e4%bd%9c%e8%af%86%e5%88%ab%e7%a0%94%e7%a9%b6%ef%bc%9a%e4%bb%a5ucf101%e6%95%b0","status":"publish","type":"post","link":"https:\/\/snaili.com\/index.php\/2025\/11\/03\/%e5%9f%ba%e4%ba%8e%e6%97%b6%e9%97%b4%e5%ba%8f%e5%88%97%e5%bb%ba%e6%a8%a1%e7%9a%84%e8%a7%86%e9%a2%91%e5%b8%a7%e5%8a%a8%e4%bd%9c%e8%af%86%e5%88%ab%e7%a0%94%e7%a9%b6%ef%bc%9a%e4%bb%a5ucf101%e6%95%b0\/","title":{"rendered":"CDS521 \u57fa\u4e8e\u65f6\u95f4\u5e8f\u5217\u5efa\u6a21\u7684\u89c6\u9891\u5e27\u52a8\u4f5c\u8bc6\u522b\u7814\u7a76\uff1a\u4ee5UCF101\u6570\u636e\u96c6\u4e3a\u4f8b"},"content":{"rendered":"\n

\u57fa\u4e8e\u65f6\u95f4\u5e8f\u5217\u5efa\u6a21\u7684\u89c6\u9891\u5e27\u52a8\u4f5c\u8bc6\u522b\u7814\u7a76\uff1a\u4ee5<\/strong>UCF101<\/strong>\u6570\u636e\u96c6\u4e3a\u4f8b<\/strong><\/p>\n\n\n\n

1. <\/strong>\u6458\u8981<\/strong><\/strong><\/p>\n\n\n\n

\u8ba1\u7b97\u673a\u89c6\u89c9\u4e0e\u6df1\u5ea6\u5b66\u4e60\u7684\u5feb\u901f\u53d1\u5c55\u63a8\u52a8\u4e86\u89c6\u9891\u52a8\u4f5c\u8bc6\u522b\u5728\u667a\u80fd\u76d1\u63a7\u3001\u4eba\u673a\u4ea4\u4e92\u53ca\u81ea\u52a8\u9a7e\u9a76\u7b49\u9886\u57df\u7684\u5e94\u7528\u3002\u4f5c\u4e3a\u5178\u578b\u7684\u65f6\u5e8f\u6570\u636e\u5f62\u5f0f\uff0c\u89c6\u9891\u5e27\u5e8f\u5217\u8574\u542b\u4e30\u5bcc\u7684\u65f6\u7a7a\u4fe1\u606f\u3002<\/p>\n\n\n\n

\u672c\u6587\u63d0\u51fa\u4e00\u79cd\u7ed3\u5408\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\u4e0e\u591a\u5c42\u957f\u77ed\u671f\u8bb0\u5fc6\u7f51\u7edc\uff08LSTM\uff09\u7684\u52a8\u4f5c\u8bc6\u522b\u65b9\u6cd5\uff0c\u91c7\u7528\u6df1\u5ea6ResNet50\u67b6\u6784\u63d0\u53d62048\u7ef4\u7a7a\u95f4\u7279\u5f81\uff0c\u540c\u65f6\u589e\u5f3a\u6a21\u578b\u6355\u6349\u65f6\u5e8f\u52a8\u6001\u7684\u80fd\u529b\u3002\u4ee5\u516c\u5f00\u6570\u636e\u96c6UCF101\u5b50\u96c6\u4e3a\u5b9e\u9a8c\u5bf9\u8c61\uff0c\u5b9e\u9a8c\u7ed3\u679c\u663e\u793a\u6027\u80fd\u663e\u8457\u63d0\u5347\uff0c\u6d4b\u8bd5\u51c6\u786e\u7387\u5cf0\u503c\u8fbe90.13%\u3002\u8fd9\u9a8c\u8bc1\u4e86\u5728\u590d\u6742\u89c6\u9891\u52a8\u4f5c\u8bc6\u522b\u4e2d\uff0c\u5148\u8fdb\u7279\u5f81\u63d0\u53d6\u4e0e\u591a\u5c42\u65f6\u95f4\u5e8f\u5217\u5efa\u6a21\u76f8\u7ed3\u5408\u7684\u7a33\u5065\u6709\u6548\u6027\u4e0e\u53ef\u884c\u6027\u3002<\/p>\n\n\n\n

2. <\/strong>\u5f15\u8a00<\/strong><\/strong><\/p>\n\n\n\n

\u968f\u7740\u89c6\u9891\u6570\u636e\u7684\u7206\u70b8\u5f0f\u589e\u957f\uff0c\u9ad8\u6548\u51c6\u786e\u5730\u8bc6\u522b\u89c6\u9891\u4e2d\u7684\u4eba\u7c7b\u52a8\u4f5c\u5df2\u6210\u4e3a\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u7684\u5173\u952e\u8bfe\u9898\u3002\u89c6\u9891\u672c\u8d28\u4e0a\u662f\u7531\u8fde\u7eed\u5e27\u7ec4\u6210\u7684\u65f6\u5e8f\u6570\u636e\uff0c\u65e2\u5305\u542b\u4e30\u5bcc\u7684\u7a7a\u95f4\u4fe1\u606f\uff0c\u53c8\u8574\u542b\u884c\u4e3a\u968f\u65f6\u95f4\u6f14\u53d8\u7684\u52a8\u6001\u7279\u5f81\u3002\u4f20\u7edf\u65b9\u6cd5\u5f80\u5f80\u4fa7\u91cd\u9759\u6001\u56fe\u50cf\u5904\u7406\u800c\u5ffd\u89c6\u65f6\u95f4\u5efa\u6a21\uff0c\u5bfc\u81f4\u5728\u8bc6\u522b\u590d\u6742\u6216\u8fde\u7eed\u52a8\u4f5c\u65f6\u8868\u73b0\u6b20\u4f73\u3002<\/p>\n\n\n\n

\u4e3a\u89e3\u51b3\u6b64\u95ee\u9898\uff0c\u8fd1\u671f\u7814\u7a76\u5f15\u5165LSTM\u548cGRU\u7b49\u65f6\u95f4\u5e8f\u5217\u5efa\u6a21\u6280\u672f\u4ee5\u6355\u6349\u65f6\u95f4\u7279\u5f81\uff0c\u4ece\u800c\u63d0\u5347\u8bc6\u522b\u7cbe\u5ea6\u3002<\/p>\n\n\n\n

\u672c\u6587\u63d0\u51fa\u4e00\u79cd\u7ed3\u5408\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\u4e0e\u65f6\u95f4\u5e8f\u5217\u6a21\u578b\u7684\u65b9\u6cd5\uff0c\u65e8\u5728\u5145\u5206\u5229\u7528\u89c6\u9891\u5e27\u4e2d\u7684\u7a7a\u95f4\u7279\u5f81\u4e0e\u65f6\u95f4\u52a8\u6001\u7279\u6027\uff0c\u4ece\u800c\u63d0\u5347\u590d\u6742\u52a8\u4f5c\u7684\u8bc6\u522b\u80fd\u529b\u3002<\/p>\n\n\n\n

\u5177\u4f53\u6d41\u7a0b\u4e3a\uff1a\u5148\u63d0\u53d6\u5e76\u9884\u5904\u7406\u89c6\u9891\u5e27\uff0c\u8fd0\u7528\u9884\u8bad\u7ec3\u7684CNN\u4ece\u6bcf\u5e27\u4e2d\u63d0\u53d6\u7a7a\u95f4\u7279\u5f81\uff0c\u518d\u901a\u8fc7LSTM\u5bf9\u5e27\u5e8f\u5217\u5efa\u6a21\u4ee5\u7cbe\u51c6\u5206\u7c7b\u52a8\u4f5c\u7c7b\u522b\u3002<\/p>\n\n\n\n

3. <\/strong>\u76f8\u5173\u7814\u7a76<\/strong><\/strong><\/p>\n\n\n\n

3.1 <\/strong>\u52a8\u4f5c\u8bc6\u522b\u57fa\u7840\u6a21\u578b\u67b6\u6784<\/strong><\/strong><\/p>\n\n\n\n

\u5f53\u524d\u4e3b\u6d41\u65b9\u6cd5\u4e3b\u8981\u5206\u4e3a\u4ee5\u4e0b\u51e0\u7c7b\uff1a<\/p>\n\n\n\n

\u4e8c\u7ef4\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08<\/strong>2D CNN<\/strong>\uff09\uff1a<\/strong>\u7528\u4e8e\u63d0\u53d6\u5355\u5e27\u7a7a\u95f4\u7279\u5f81\uff0c\u4f46\u65e0\u6cd5\u5efa\u6a21\u65f6\u95f4\u7ef4\u5ea6\u3002<\/p>\n\n\n\n

\u4e09\u7ef4\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08<\/strong>3D CNN<\/strong>\uff09\uff1a<\/strong>\u5728\u65f6\u95f4\u7ef4\u5ea6\u6269\u5c55\u5377\u79ef\u6838\u4ee5\u63d0\u53d6\u5c40\u90e8\u65f6\u7a7a\u7279\u5f81\uff0c\u9002\u7528\u4e8e\u77ed\u671f\u52a8\u4f5c\u5efa\u6a21\u3002<\/p>\n\n\n\n

\"\"<\/div><\/figure>\n\n\n\n

\u56fe1 \u516c\u5f0f<\/p>\n\n\n\n

\u5176\u4e2dW\u4e3a\u4e09\u7ef4\u5377\u79ef\u6838\uff0cV\u4e3a\u89c6\u9891\u5e27\u5e8f\u5217\uff0c\u03c3\u4e3a\u6fc0\u6d3b\u51fd\u6570\u3002<\/p>\n\n\n\n

\u53cc\u6d41\u7f51\u7edc\uff1a<\/strong>\u5206\u522b\u5904\u7406RGB\u56fe\u50cf\u4e0e\u5149\u6d41\u56fe\u50cf\uff0c\u878d\u5408\u7a7a\u95f4\u4e0e\u8fd0\u52a8\u4fe1\u606f\u4ee5\u63d0\u5347\u8bc6\u522b\u7cbe\u5ea6\u3002<\/p>\n\n\n\n

\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff08<\/strong>RNN<\/strong>\uff09\u53ca\u5176\u53d8\u4f53\uff1a<\/strong><\/p>\n\n\n\n

LSTM<\/strong>\uff08\u957f\u77ed\u671f\u8bb0\u5fc6\u7f51\u7edc\uff09\uff1a<\/strong>\u9002\u7528\u4e8e\u957f\u5e8f\u5217\u5efa\u6a21\uff0c\u6709\u6548\u7f13\u89e3\u68af\u5ea6\u6d88\u5931\u95ee\u9898\u3002LSTM\u6838\u5fc3\u516c\u5f0f\u5982\u4e0b\uff1a<\/p>\n\n\n\n

\"\"<\/div><\/figure>\n\n\n\n

\u56fe2 LSTM\u6838\u5fc3\u516c\u5f0f<\/p>\n\n\n\n

GRU<\/strong>\uff08\u95e8\u63a7\u5faa\u73af\u5355\u5143\uff09\uff1a<\/strong>\u7ed3\u6784\u66f4\u7b80\u6d01\u4e14\u8ba1\u7b97\u6548\u7387\u66f4\u9ad8\uff0c\u9002\u7528\u4e8e\u5b9e\u65f6\u8bc6\u522b\u4efb\u52a1\u3002<\/p>\n\n\n\n

3.2 <\/strong>\u6a21\u578b\u878d\u5408\u8d8b\u52bf<\/strong><\/strong><\/p>\n\n\n\n

\u8fd1\u5e74\u6765\uff0c\u7814\u7a76\u8005\u5f00\u59cb\u878d\u5408\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\u4e0eLSTM\u6784\u5efa\u7aef\u5230\u7aef\u65f6\u7a7a\u5efa\u6a21\u6846\u67b6\u3002\u4f8b\u5982\u6881\u6668\u4f1f\u7b49\u4eba\u63d0\u51fa\u7684CNN+LSTM\u6a21\u578b \u5728\u591a\u4e2a\u6570\u636e\u96c6\u4e0a\u53d6\u5f97\u4f18\u5f02\u8bc6\u522b\u6027\u80fd\u3002\u8be5\u65b9\u6cd5\u5148\u901a\u8fc7CNN\u63d0\u53d6\u5e27\u95f4\u7a7a\u95f4\u7279\u5f81\uff0c\u518d\u5c06\u7279\u5f81\u5e8f\u5217\u8f93\u5165LSTM\u7f51\u7edc\u8fdb\u884c\u65f6\u5e8f\u5efa\u6a21\uff0c\u6700\u7ec8\u8f93\u51fa\u52a8\u4f5c\u7c7b\u522b\u3002<\/p>\n\n\n\n

\u6b64\u5916\uff0cTransformer\u67b6\u6784\u6b63\u9010\u6b65\u5e94\u7528\u4e8e\u89c6\u9891\u5206\u6790\u4efb\u52a1\uff0c\u5c24\u5176\u64c5\u957f\u5efa\u6a21\u957f\u671f\u4f9d\u8d56\u5173\u7cfb\u3002\u4f46\u5176\u8ba1\u7b97\u8d44\u6e90\u6d88\u8017\u5de8\u5927\u4e14\u90e8\u7f72\u56f0\u96be\u3002<\/p>\n\n\n\n

3.3 <\/strong>\u6570\u636e\u96c6\u4e0e\u8bc4\u4f30\u6307\u6807<\/strong><\/strong><\/p>\n\n\n\n

UCF101\u662f\u89c6\u9891\u52a8\u4f5c\u8bc6\u522b\u9886\u57df\u6700\u5e38\u7528\u7684\u57fa\u51c6\u6570\u636e\u96c6\u4e4b\u4e00\uff0c\u5305\u542b\u4f53\u80b2\u8fd0\u52a8\u3001\u65e5\u5e38\u6d3b\u52a8\u7b49\u573a\u666f\u4e0b\u7684101\u7c7b\u52a8\u4f5c\u7c7b\u522b\u3002\u7814\u7a76\u8005\u901a\u5e38\u91c7\u7528\u51c6\u786e\u7387\u3001\u7cbe\u786e\u7387\u3001\u53ec\u56de\u7387\u53caF1\u5206\u6570\u7b49\u6307\u6807\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\u3002<\/p>\n\n\n\n

4. <\/strong>\u7814\u7a76\u65b9\u6cd5<\/strong><\/strong><\/p>\n\n\n\n

4.1 <\/strong>\u6570\u636e\u9884\u5904\u7406<\/strong><\/strong><\/p>\n\n\n\n

\u672c\u7814\u7a76\u9009\u7528UCF101\u6570\u636e\u96c6\u4f5c\u4e3a\u57fa\u51c6\u3002\u53d7\u8ba1\u7b97\u8d44\u6e90\u9650\u5236\uff0c\u7ecf\u7cbe\u5fc3\u7b5b\u9009\u5904\u7406\u7ea63,300\u4e2a\u89c6\u9891\u7247\u6bb5\u3002\u6bcf\u4e2a\u89c6\u9891\u5747\u7edf\u4e00\u62bd\u53d630\u5e27\u56fe\u50cf\uff0c\u8c03\u6574\u4e3a224\u00d7224\u50cf\u7d20\u5c3a\u5bf8\uff0c\u5e76\u91c7\u7528ImageNet\u5747\u503c\u4e0e\u6807\u51c6\u5dee\u8fdb\u884c\u5f52\u4e00\u5316\u5904\u7406\u3002\u6b64\u9884\u5904\u7406\u786e\u4fdd\u6570\u636e\u7b26\u5408\u9884\u8bad\u7ec3\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u7684\u8f93\u5165\u8981\u6c42\u3002<\/p>\n\n\n\n

\"\"<\/div><\/figure>\n\n\n\n

\u56fe3\u76f8\u5173\u8f6f\u4ef6\u5305\u5b89\u88c5<\/p>\n\n\n\n

\"\"<\/div><\/figure>\n\n\n\n

\u56fe4 \u6570\u636e\u9884\u5904\u7406<\/p>\n\n\n\n

\u56fe4\u5c55\u793a\u4e86\u6d4b\u8bd5\u96c6\u7684\u6df7\u6dc6\u77e9\u9635\u3002\u7ed3\u679c\u8868\u660e\uff0c\u7531\u4e8e\u52a8\u4f5c\u6a21\u5f0f\u76f8\u4f3c\uff0c\u8bf8\u5982 \u7684”\u5954\u8dd1”\u4e0e”\u6b65\u884c”\u7b49\u52a8\u4f5c\u5e38\u88ab\u8bef\u5206\u7c7b\u3002<\/p>\n\n\n\n

4.2 <\/strong>\u7279\u5f81\u63d0\u53d6<\/strong><\/strong><\/p>\n\n\n\n

\u7279\u5f81\u63d0\u53d6\u91c7\u7528\u5f3a\u5927\u7684\u9884\u8bad\u7ec3ResNet50\u6a21\u578b\uff08\u57fa\u4e8eResNet18\u5347\u7ea7\u800c\u6765\uff09\u3002\u79fb\u9664\u6700\u7ec8\u7684\u6c60\u5316\u5c42\u4e0e\u5168\u8fde\u63a5\u5c42\uff0c\u4ec5\u4fdd\u7559\u5377\u79ef\u5c42\u4ee5\u5b9e\u73b0\u7a33\u5065\u7684\u7a7a\u95f4\u7279\u5f81\u63d0\u53d6\u3002\u901a\u8fc7\u5168\u5c40\u5e73\u5747\u6c60\u5316\u5c06\u6bcf\u5e27\u56fe\u50cf\u8f6c\u6362\u4e3a2048\u7ef4\u7279\u5f81\u5411\u91cf\u3002\u8fd9\u4e9b\u5411\u91cf\u88ab\u6574\u5408\u4e3a\u6bcf\u4e2a\u89c6\u9891\u7684(30, 2048)\u65f6\u95f4\u5e8f\u5217\u77e9\u9635\uff0c\u5e76\u4fdd\u5b58\u4e3a.npy\u6587\u4ef6\u3002\u6570\u636e\u52a0\u8f7d\u65f6\u5b9e\u65bd\u4e86\u5f62\u72b6\u9a8c\u8bc1\u673a\u5236\uff0c\u901a\u8fc7\u7528\u96f6\u77e9\u9635\u66ff\u6362\u635f\u574f\u7684\u7279\u5f81\u6587\u4ef6\u6765\u5904\u7406\u5f02\u5e38\u60c5\u51b5\uff0c\u786e\u4fdd\u8f93\u5165\u7ef4\u5ea6\u7edf\u4e00\u3002<\/p>\n\n\n\n

4.3 <\/strong>\u65f6\u95f4\u5e8f\u5217\u5efa\u6a21<\/strong><\/strong><\/p>\n\n\n\n

\u91c7\u7528\u4f18\u5316\u7248\u591a\u5c42LSTM\u67b6\u6784\u6355\u6349\u5e27\u95f4\u65f6\u95f4\u4f9d\u8d56\u5173\u7cfb\u3002\u6a21\u578b\u7ed3\u6784\u5305\u542b\uff1a<\/p>\n\n\n\n

\u8f93\u5165\u5c42\uff1a\u5e27\u7ea7\u7279\u5f81\u5e8f\u5217\uff0830 \u00d7 2048\uff09\u3002<\/p>\n\n\n\n

LSTM\u5c42\uff1a\u53cc\u5c42LSTM\u7ed3\u6784\uff0c\u9690\u85cf\u5c42\u7ef4\u5ea6\u4e3a512\uff0c\u5c42\u95f4\u8bbe\u7f6e0.5\u7684dropout\u53c2\u6570\uff0c\u4ee5\u5efa\u6a21\u66f4\u590d\u6742\u7684\u65f6\u95f4\u6a21\u5f0f\u3002<\/p>\n\n\n\n

Dropout\u5c42\uff1a\u5728\u6700\u7ec8\u5206\u7c7b\u5c42\u524d\u989d\u5916\u6dfb\u52a0\u4e86\u4e00\u4e2a0.5\u6982\u7387\u7684Dropout\u5c42\uff0c\u4ee5\u589e\u5f3a\u6b63\u5219\u5316\u6548\u679c\u5e76\u9632\u6b62\u8fc7\u62df\u5408\u3002<\/p>\n\n\n\n

\u5168\u8fde\u63a5\u5c42 + Softmax\uff1a\u8f93\u51fa101\u4e2a\u52a8\u4f5c\u7c7b\u522b\u7684\u6982\u7387\u503c\u3002<\/p>\n\n\n\n

\u8bad\u7ec3\u8bbe\u7f6e\uff1a\u6a21\u578b\u91c7\u7528\u4ea4\u53c9\u71b5\u635f\u5931\u51fd\u6570\u4e0eAdam\u4f18\u5316\u5668\u8fdb\u884c\u8bad\u7ec3\uff0c\u521d\u59cb\u5b66\u4e60\u7387\u8bbe\u4e3a0.001\uff0c\u6279\u91cf\u5927\u5c0f\u4e3a32\uff0c\u8bad\u7ec350\u4e2a epoch\u3002\u901a\u8fc7StepLR\u5b66\u4e60\u7387\u8c03\u5ea6\u5668\u5b9e\u73b0\u6bcf20 epoch\u964d\u4f4e\u5b66\u4e60\u73870.1\u500d\u7684\u7b56\u7565\uff0c\u786e\u4fdd\u6536\u655b\u9636\u6bb5\u8bad\u7ec3\u7a33\u5b9a\u3002<\/p>\n\n\n\n

5. <\/strong>\u5b9e\u9a8c\u4e0e\u7ed3\u679c<\/strong><\/strong><\/p>\n\n\n\n

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

\u5904\u7406\u540e\u7684\u6570\u636e\u5b50\u96c6\u5305\u542b\u7ea62,511\u4e2a\u8bad\u7ec3\u6837\u672c\u548c1,017\u4e2a\u6d4b\u8bd5\u6837\u672c\u3002\u8bad\u7ec3\u8fc7\u7a0b\u91c7\u7528GPU\u52a0\u901f\u4ee5\u63d0\u5347\u6548\u7387\u3002<\/p>\n\n\n\n

5.2 <\/strong>\u8bc4\u4f30\u6307\u6807<\/strong><\/strong><\/p>\n\n\n\n

\u4e3a\u5168\u9762\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\uff0c\u91c7\u7528\u591a\u9879\u6307\u6807\uff1a\u51c6\u786e\u7387\u4f5c\u4e3a\u6838\u5fc3\u6307\u6807\u8861\u91cf\u6574\u4f53\u5206\u7c7b\u8868\u73b0\uff1b \u7cbe\u786e\u7387\u4e0e\u53ec\u56de\u7387\u7528\u4e8e\u8bc4\u4f30\u6a21\u578b\u8bc6\u522b\u6b63\u4f8b\u7684\u80fd\u529b\u53ca\u51cf\u5c11\u5047\u9634\u6027\u7684\u6548\u679c\uff1b\u540c\u65f6\u8ba1\u7b97F1\u5206\u6570\u4ee5\u5e73\u8861\u7cbe\u786e\u7387\u4e0e\u53ec\u56de\u7387\uff0c\u8be5\u6307\u6807\u5bf9\u5904\u7406UCF101\u6570\u636e\u96c6\u4e2d\u7684\u7c7b\u4e0d\u5e73\u8861\u95ee\u9898\u5c24\u4e3a\u6709\u6548\u3002\u56fe5\u6df7\u6dc6\u77e9\u9635\u5c55\u793a\u4e86\u4e94\u4e2a\u52a8\u4f5c\u7c7b\u522b\u7684\u4ee3\u8868\u6027\u5b50\u96c6\u4ee5\u793a\u6e05\u6670\u3002<\/p>\n\n\n\n

\"\"<\/div><\/figure>\n\n\n\n

\u56fe5 \u6df7\u6dc6\u77e9\u9635<\/p>\n\n\n\n

5.3 <\/strong>\u5b9e\u9a8c\u7ed3\u679c<\/strong><\/p>\n\n\n\n

\u4f18\u5316\u540e\u7684CNN+LSTM\u6a21\u578b\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u5c55\u73b0\u51fa\u5feb\u901f\u5f3a\u52b2\u7684\u6536\u655b\u6027\u3002\u8bad\u7ec3\u635f\u5931\u503c\u6025\u5267\u4e0b\u964d\uff0c\u63a5\u8fd1\u96f6\u503c\uff08\u7b2c15 epoch\u65f6\u8bad\u7ec3\u635f\u5931\u4e3a0.0026\uff09\uff0c\u8868\u660e\u5b66\u4e60\u6548\u7387\u6781\u9ad8\u3002\u6d4b\u8bd5\u51c6\u786e\u7387\u8fc5\u901f\u8d85\u8d8a\u57fa\u7ebf\uff0c\u5728\u7b2c15 epoch\u8fbe\u523090.13%\u7684\u5cf0\u503c\u3002<\/p>\n\n\n\n

\u8be6\u7ec6\u6027\u80fd\u8f68\u8ff9\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n\n\n\n

\u8bad\u7ec3\u8f6e\u6b21<\/strong><\/td>\u8bad\u7ec3\u635f\u5931<\/strong><\/td>\u6d4b\u8bd5\u51c6\u786e\u7387<\/strong><\/td>\u5b66\u4e60\u7387<\/strong> (LR)<\/strong><\/td><\/tr>
5<\/strong><\/td>0.4670<\/td>85.53%<\/td>0.001000<\/td><\/tr>
10<\/strong><\/td>0.0269<\/td>88.82%<\/td>0.001000<\/td><\/tr>
15<\/strong><\/td>0.0026<\/strong><\/td>90.13%<\/strong><\/td>0.001000<\/td><\/tr>
20<\/strong><\/td>0.0015<\/td>89.47%<\/td>0.000100<\/td><\/tr>
50<\/strong><\/td>0.0011<\/td>90.13%<\/td>0.000010<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u88681 \u8be6\u7ec6\u6027\u80fd\u8f68\u8ff9<\/p>\n\n\n\n

\"\"<\/div><\/figure>\n\n\n\n

\u56fe6 \u6d4b\u8bd5\u7ed3\u679c<\/p>\n\n\n\n

\"\"<\/div><\/figure>\n\n\n\n

\u56fe7 \u8bad\u7ec3\u635f\u5931\u4e0e\u6d4b\u8bd5\u51c6\u786e\u7387<\/p>\n\n\n\n

5.4 <\/strong>\u6027\u80fd\u5206\u6790<\/strong><\/strong><\/p>\n\n\n\n

\u6700\u7ec8\u6d4b\u8bd5\u51c6\u786e\u7387\u8fbe90.13%\uff0c\u6807\u5fd7\u7740\u7814\u7a76\u76ee\u6807\u7684\u5706\u6ee1\u8fbe\u6210\u3002\u5982\u6b64\u9ad8\u7684\u51c6\u786e\u7387\u5145\u5206\u5c55\u73b0\u4e86\u6df1\u5ea6\u7a7a\u95f4\u7279\u5f81\u63d0\u53d6\uff08ResNet50\uff09\u4e0e\u589e\u5f3a\u65f6\u5e8f\u5efa\u6a21\uff08\u591a\u5c42LSTM\uff09\u534f\u540c\u4f5c\u7528\u7684\u5f3a\u5927\u6548\u80fd\u3002\u5f15\u5165StepLR\u5b66\u4e60\u7387\u8c03\u5ea6\u5668\u6210\u529f\u5b9e\u73b0\u4e86\u6536\u655b\u63a7\u5236\uff0c\u5373\u4f7f\u8bad\u7ec3\u635f\u5931\u8d8b\u8fd1\u4e8e\u96f6\u65f6\u4ecd\u80fd\u4fdd\u6301\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u3002\u5728\u7b2c20\u8f6e\u8bad\u7ec3\u524d\u7cbe\u5ea6\u51fa\u73b0\u5c0f\u5e45\u6ce2\u52a8\uff08\u4ece90.13%\u964d\u81f389.47%\uff09\u540e\u8d8b\u4e8e\u7a33\u5b9a\uff0c\u8fd9\u51f8\u663e\u4e86\u6b63\u5219\u5316\u65b9\u6cd5\uff08\u59820.5\u6982\u7387\u7684dropout\u548c\u5b66\u4e60\u7387\u8870\u51cf\uff09\u5728\u7ba1\u7406\u591a\u5c42LSTM\u9ad8\u5bb9\u91cf\u6a21\u578b\u4e2d\u7684\u91cd\u8981\u6027\u3002\u4e0e\u521d\u671f\u4f4e\u7cbe\u5ea6\u7ed3\u679c\u4e0d\u540c\uff0c\u8be5\u4f18\u5316\u6a21\u578b\u80fd\u6709\u6548\u6355\u6349\u52a8\u4f5c\u7684\u7279\u5f81\u6027\u65f6\u95f4\u6a21\u5f0f\uff0c\u5305\u62ec\u7ec6\u5fae\u53d8\u5316\u3002<\/p>\n\n\n\n

5.5 <\/strong>\u5bf9\u6bd4\u5206\u6790<\/strong><\/strong><\/p>\n\n\n\n

\u76f8\u8f83\u4e8e\u73b0\u6709\u5c16\u7aef\u6a21\u578b\uff0c\u672c\u4f18\u5316CNN+LSTM\u65b9\u6848\u5728\u4fdd\u6301\u8ba1\u7b97\u6548\u7387\u4f18\u52bf\u7684\u540c\u65f6\u5b9e\u73b0\u4e86\u5177\u6709\u7ade\u4e89\u529b\u7684\u51c6\u786e\u7387\u3002\u57fa\u4e8e3D\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u6a21\u578b\u901a\u5e38\u8fbe\u523078-85%\u51c6\u786e\u7387\uff0c\u590d\u6742\u7684Transformer\u67b6\u6784\u53ef\u7a81\u783490%\uff0c\u800c\u672c\u4f18\u5316\u6a21\u578b\u4ee590.13%\u7684\u51c6\u786e\u7387\u8dfb\u8eab\u8be5\u6570\u636e\u96c6\u9876\u5c16\u6027\u80fd\u884c\u5217\u3002\u8be5 \u8bc1\u660e\uff1a\u901a\u8fc7\u7cbe\u5fc3\u8c03\u4f18\u7684CNN+LSTM\u67b6\u6784\u7ed3\u5408\u5f3a\u5927\u7684\u9884\u63d0\u53d6\u7279\u5f81\uff0c\u53ef\u5728\u89c6\u9891\u52a8\u4f5c\u8bc6\u522b\u9886\u57df\u5339\u654c\u8ba1\u7b97\u5bc6\u96c6\u578b\u6a21\u578b\u7684\u6027\u80fd\u3002<\/p>\n\n\n\n

5.6 <\/strong>\u5c40\u9650\u6027\u4e0e\u672a\u6765\u5de5\u4f5c<\/strong><\/strong><\/p>\n\n\n\n

\u672c\u7814\u7a76\u7684\u4e3b\u8981\u5c40\u9650\u5728\u4e8e\u6570\u636e\u96c6\u89c4\u6a21\u6709\u9650\u53ca\u65f6\u95f4\u5efa\u6a21\u65b9\u6cd5\u8fc7\u4e8e\u7b80\u5355\u3002\u5bf9\u635f\u574f\u7279\u5f81\u91c7\u7528\u96f6\u77e9\u9635\u66ff\u6362\u53ef\u80fd\u5f15\u5165\u5e8f\u5217\u566a\u58f0\u5e76\u9650\u5236\u6f5c\u5728\u6027\u80fd\u3002\u672a\u6765\u5de5\u4f5c\u5c06\u805a\u7126\u4e8e\u5904\u7406\u5b8c\u6574\u7684UCF101\u6570\u636e\u96c6\uff0c\u5e94\u7528\u5148\u8fdb\u7684\u6570\u636e\u589e\u5f3a\u6280\u672f\uff0c\u5e76\u6574\u5408\u6ce8\u610f\u529b\u673a\u5236\u6216\u57fa\u4e8eTransformer\u7684\u6a21\u578b\u4ee5\u589e\u5f3a\u65f6\u95f4\u8868\u793a\u80fd\u529b\u3002\u6b64\u5916\uff0c\u5f15\u5165\u5149\u6d41\u548c\u97f3\u9891\u4fe1\u53f7\u7b49\u591a\u6a21\u6001\u8f93\u5165\u53ef\u663e\u8457\u63d0\u5347\u590d\u6742\u52a8\u4f5c\u7684\u8bc6\u522b\u51c6\u786e\u7387\u3002<\/p>\n\n\n\n

6. <\/strong>\u7ed3\u8bba<\/strong><\/strong><\/p>\n\n\n\n

\u672c\u7814\u7a76\u9a8c\u8bc1\u4e86\u4f18\u5316\u7248CNN+LSTM\u6846\u67b6\u5728\u89c6\u9891\u52a8\u4f5c\u8bc6\u522b\u4e2d\u7684\u5353\u8d8a\u6548\u80fd\u3002\u901a\u8fc7\u5c06\u7279\u5f81\u63d0\u53d6\u5668\u5347\u7ea7\u4e3aResNet50\uff0c\u5e76\u91c7\u7528\u591a\u5c42\u7ed3\u6784\u4e0e\u6b63\u5219\u5316\u6280\u672f\u589e\u5f3a\u65f6\u5e8f\u6a21\u578b\uff0c\u6700\u7ec8\u6d4b\u8bd5\u51c6\u786e\u7387\u8fbe90.13%\u3002\u8be5\u7ed3\u679c\u5370\u8bc1\u4e86\u4e30\u5bcc\u7279\u5f81\u8868\u5f81\u4e0e\u7a33\u5065\u65f6\u5e8f\u5efa\u6a21\u5728\u89e3\u51b3\u590d\u6742\u89c6\u9891\u5206\u7c7b\u4efb\u52a1\u4e2d\u7684\u5173\u952e\u4f5c\u7528\u3002\u540e\u7eed\u5de5\u4f5c\u5c06\u805a\u7126\u4e8e\u5904\u7406\u5b8c\u6574\u7684UCF101\u6570\u636e\u96c6\u53ca\u63a2\u7d22\u591a\u6a21\u6001\u878d\u5408\u6280\u672f\u3002<\/p>\n\n\n\n

\u53c2\u8003\u6587\u732e<\/strong><\/strong><\/p>\n\n\n\n

    \n
  • Li, D., & Wang, R. (2022). Context-LSTM: A robust classifier for video detection on UCF101. arXiv preprint arXiv:2203.06610.<\/li>\n\n\n\n
  • Arshiya, A., & Kumar, A. (2023). Comparative Analysis of Action Recognition Techniques. Engineering Proceedings, 107(1), 43.<\/li>\n\n\n\n
  • Fadaei, A. H., & Ghassemi, N. (2025). Enhancing Video Understanding: Deep Neural Networks for Spatiotemporal Analysis. arXiv preprint arXiv:2502.07277.<\/li>\n\n\n\n
  • Mao, M., & Zhang, Y. (2024). Deep Learning Innovations in Video Classification: A Survey. Electronics, 13(14), 2732.<\/li>\n\n\n\n
  • Schiappa, J., & Wang, L. (2023). A Large-scale Robustness Analysis of Video Action Recognition Models. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR).<\/li>\n\n\n\n
  • Soomro, K., Zamir, A. R., & Shah, M. (2012). UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild. Center for Research in Computer Vision, University of Central Florida.<\/li>\n\n\n\n
  • Zhang, X., Nyamasvisva, T. E., & Liu, C. (2025). A Framework Combining 3D CNN and Transformer for Video-Based Behavior Recognition. IOSR Journal of Computer Engineering, 27(3), 21\u201329. Retrieved from<\/li>\n\n\n\n
  • Begum, S. S., Sathvik, J. A. A., Ahmed, M. E., & Kumar, K. V. V. S. M. (2025). Exploring CNN-Based Algorithms for Human Action Recognition in Videos. In Broadband Communications, Networks, and Systems (pp. 107\u2013115). Springer.<\/li>\n\n\n\n
  • Panchal, P., & Prajapati, D. J. (2025). Advanced Video Action Recognition using Hybrid models of ConvLSTM with 3DCNN. Journal of Embedded Systems.<\/li>\n\n\n\n
  • Wang, Z., & Liu, Y. (2024). STAA: Spatio-Temporal Attention Attribution for Real-Time Interpreting Transformer-based Video Models. arXiv preprint arXiv:2411.00630.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"

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