{"id":38451,"date":"2019-12-26T00:00:33","date_gmt":"2019-12-25T16:00:33","guid":{"rendered":"https:\/\/case.ntu.edu.tw\/blog\/?p=38451"},"modified":"2022-01-03T23:02:24","modified_gmt":"2022-01-03T15:02:24","slug":"%e5%85%a8%e7%90%83%e9%a6%96%e9%96%93%e6%a9%9f%e5%99%a8%e4%ba%ba%e5%a4%a7%e5%ad%b8%e4%b8%8a%e7%b7%9a%e5%95%a6%ef%bc%81%ef%bc%88%e6%a9%9f%e5%99%a8%e4%ba%ba%e8%a8%bb%e5%86%8a%e9%99%90%e5%ae%9a%ef%bc%89","status":"publish","type":"post","link":"https:\/\/case.ntu.edu.tw\/blog\/?p=38451","title":{"rendered":"\u5168\u7403\u9996\u9593\u6a5f\u5668\u4eba\u5927\u5b78\u4e0a\u7dda\u5566\uff01\uff08\u6a5f\u5668\u4eba\u8a3b\u518a\u9650\u5b9a\uff09"},"content":{"rendered":"
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\u7de8\u8b6f\uff0f\u8a31\u5b88\u5091<\/strong><\/p>\n

\u5982\u6cd5\u70ae\u88fd<\/strong><\/p>\n

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\u7531\u65bcImageNet\u7684\u6210\u529f\uff0c\u6a5f\u5668\u4eba\u5c08\u5bb6\u5011\u4e5f\u958b\u59cb\u5617\u8a66\u4e00\u500b\u76f8\u4f3c\u7684\u7b56\u7565\u4f86\u8a13\u7df4\u6a5f\u5668\u4eba\u5011\u3002\u52a0\u5dde\u67cf\u514b\u840a\u5927\u5b78\u7684Sudeep Dasari\u8207\u4ed6\u7684\u540c\u4e8b\u5011\u5275\u7acb\u4e86\u540d\u70baRoboNet\u7684\u8cc7\u6599\u5eab\uff0c\u6db5\u84cb\u5404\u7a2e\u6a5f\u5668\u4eba\u8207\u74b0\u5883\u4e92\u52d5\u7684\u5df2\u6a19\u8a18\u5f71\u7247\u3002\u8209\u4f8b\u4f86\u8aaa\uff1a\u9019\u500b\u8cc7\u6599\u5eab\u53ef\u80fd\u5305\u542b\u8a31\u591a\u6bb5\u6a5f\u5668\u4eba\u5728\u684c\u4e0a\u79fb\u52d5\u4e00\u500b\u676f\u5b50\u7684\u5f71\u7247\uff0c\u4f7f\u5f97\u4efb\u4f55\u60f3\u8981\u6559\u4ed6\u7684\u6a5f\u5668\u4eba\u79fb\u52d5\u676f\u5b50\u7684\u4eba\uff0c\u5c31\u7b97\u539f\u672c\u4ed6\u7684\u6a5f\u5668\u4eba\u53ef\u80fd\u6839\u672c\u6c92\u7528\u904e\u676f\u5b50\uff0c\u90fd\u53ef\u4ee5\u4f7f\u7528\u8a72\u5f71\u7247\u4f86\u8a13\u7df4\u795e\u7d93\u7db2\u8def\uff0c\u5982\u4f55\u63a7\u5236\u6a5f\u5668\u4eba\u79fb\u52d5\u4e00\u500b\u676f\u5b50\u3002Dasari\u548c\u540c\u50da\u5e0c\u671b\u53ef\u4ee5\u5efa\u7acb\u4e00\u500b\u61c9\u7528\u5ee3\u6cdb\u7684\u8cc7\u6599\u5eab\uff0c\u5c31\u50cf\u4e00\u500b\u6a5f\u5668\u4eba\u5927\u5b78\u4e00\u6a23\uff0c\u5404\u5f0f\u5404\u6a23\u7684\u6a5f\u5668\u5b78\u751f\u5728\u4e0a\u5b8cRoboNet\u7684\u8ab2\u5f8c\uff0c\u90fd\u80fd\u5b78\u5230\u4efb\u4f55\u4e00\u7a2e\u60f3\u8981\u7684\u6280\u80fd\u3002<\/p>\n

\u8001\u72d7\u8981\u5b78\u65b0\u628a\u6232\uff0c\u8cbb\u6642\u8cbb\u5de5<\/strong><\/p>\n

\u5c31\u76ee\u524d\u73fe\u884c\u7684\u65b9\u6cd5\u800c\u8a00\uff0c\u6a5f\u5668\u4eba\u5c08\u5bb6\u5728\u6559\u5c0e\u6a5f\u5668\u4eba\u5982\u4f55\u8207\u74b0\u5883\u4e92\u52d5\u65b9\u9762\u6536\u7a6b\u751a\u5fae\u3002\u4f8b\u5982\u4ed6\u5011\u6703\u9304\u88fd\u8a31\u591a\u6a5f\u5668\u4eba\u5728\u4e00\u500b\u5e73\u9762\u4e0a\u79fb\u52d5\u4e00\u652f\u5237\u5b50\u7684\u5f71\u7247\uff0c\u518d\u4f7f\u7528\u9019\u500b\u8cc7\u6599\u4f86\u8a13\u7df4\u6a5f\u5668\u4eba\uff0c\u8b93\u5b83\u5011\u53ef\u4ee5\u628a\u9019\u500b\u52d5\u4f5c\u505a\u5230\u6700\u597d\u3002\u800c\u4e00\u65e6\u6a5f\u5668\u4eba\u5b78\u6703\u4e86\u600e\u9ebc\u79fb\u52d5\u5237\u5b50\u5f8c\uff0c\u5b83\u9084\u662f\u5fc5\u9808\u900f\u904e\u540c\u6a23\u7684\u65b9\u5f0f\u518d\u5b78\u7fd2\u5982\u4f55\u79fb\u52d5\u6e6f\u5319\u3001\u773c\u93e1.\u2026..\uff0c\u56e0\u70ba\u4e0d\u540c\u7269\u4ef6\u5728\u5f71\u50cf\u4e0a\u662f\u5c6c\u65bc\u4e0d\u540c\u7684\u7269\u4ef6\u3002\u518d\u8005\uff0c\u5982\u679c\u6a5f\u5668\u4eba\u8eab\u8655\u7684\u80cc\u666f\u74b0\u5883\u6539\u8b8a\u4e86\uff0c\u9019\u6a23\u5c31\u5fc5\u9808\u91cd\u65b0\u8490\u96c6\u8a13\u7df4\u8cc7\u6599\u4e26\u91cd\u65b0\u8a13\u7df4\u6a5f\u5668\u4eba\u3002\u9019\u7a2e\u4f5c\u6cd5\u6210\u6557\u7684\u95dc\u9375\uff0c\u5c31\u5728\u65bc\u5982\u4f55\u80fd\u5920\u8490\u96c6\u5230\u6d77\u91cf\u7684\u8cc7\u6599\u2500\u2500\u4e5f\u5c31\u662f\u9304\u88fd\u8207\u6a19\u8a18\u7121\u6578\u5c0f\u6642\u7684\u5f71\u7247\u3002<\/p>\n

RoboNet\u7684\u8a95\u751f\u8207\u6311\u6230<\/strong><\/p>\n

RoboNet\u5c31\u662f\u70ba\u4e86\u89e3\u6c7a\u4e0a\u8ff0\u554f\u984c\u800c\u8a95\u751f\u7684\u3002\u76ee\u524dDasari\u5718\u968a\u5df2\u7d93\u9304\u88fd\u4e861\u5343\u4e94\u767e\u842c\u5e40\u7684\u5f71\u7247\uff0c\u5167\u5bb9\u6db5\u84cb\u6709\u8457\u4e0d\u540c\u6a5f\u68b0\u624b\u81c2\u7684\u5404\u5f0f\u6a5f\u5668\u4eba\uff0c\u5728\u591a\u7a2e\u74b0\u5883\u4e0b\u5b8c\u6210\u7279\u5b9a\u4efb\u52d9\u3002\u8de8\u786c\u9ad4\u8de8\u74b0\u5883\u7684RoboNet\u6f5b\u529b\u4e0d\u5bb9\u5c0f\u89b7\uff0c\u4ed6\u5011\u8868\u793a\uff1a\u7528\u9019\u6a23\u7684\u8cc7\u6599\u5eab\u6240\u8a13\u7df4\u51fa\u4f86\u7684\u6a5f\u5668\u4eba\u6bd4\u8001\u65b9\u6cd5\u8a13\u7df4\u51fa\u4f86\u7684\u8868\u73fe\u66f4\u597d\uff0c\u5373\u4f7f\u8001\u65b9\u6cd5\u4f7f\u7528\u4e86\u66f4\u591a\u7684\u8cc7\u6599\u3002<\/p>\n

Dasari\u53ca\u5718\u968a\u4e5f\u5e0c\u671b\u6301\u7e8c\u63a8\u5ee3RoboNet\uff0c\u9080\u8acb\u5176\u4ed6\u7814\u7a76\u5718\u968a\u5171\u540c\u96c6\u601d\u5ee3\u76ca\uff0c\u627e\u51fa\u9019\u4e9b\u8cc7\u6599\u7684\u6700\u4f73\u4f7f\u7528\u65b9\u5f0f\u3002\u4ed6\u5011\u8aaa\uff1a\u300c\u6211\u5011\u5e0c\u671bRoboNet\u80fd\u5920\u5ee3\u9080\u5176\u4ed6\u2500\u2500\u5c24\u5176\u6a5f\u5668\u4eba\u5b78\u8207\u5f37\u5316\u5b78\u7fd2\u9818\u57df\u2500\u2500\u7814\u7a76\u793e\u7fa4\u5171\u540c\u53c3\u8207\uff0c\u4f86\u7814\u7a76\u5982\u4f55\u64f4\u5c55\u5f37\u5316\u5b78\u7fd2\u6f14\u7b97\u6cd5\uff0c\u4ee5\u6eff\u8db3\u73fe\u5be6\u4e16\u754c\u7684\u8907\u96dc\u6027\u300d\u3002<\/p>\n

\u9019\u662f\u4e00\u6240\u6a5f\u5668\u4eba\u5927\u5b78\uff0c\u80fd\u63d0\u4f9b\u4efb\u4f55\u4e00\u7a2e\u6a5f\u5668\u4eba\u5b8c\u6210\u7279\u5b9a\u4efb\u52d9\u6240\u9700\u7684\u6280\u80fd\u8a13\u7df4\u3002\u904e\u53bbImageNet\u5c07\u96fb\u8166\u8996\u89ba\u63a8\u5411\u985b\u5cf0\uff0c\u5982\u4ecaRoboNet\u5c31\u7b97\u53ea\u53d6\u5f97\u4e00\u534a\u7684\u6210\u529f\uff0c\u90fd\u5c07\u6703\u662f\u6211\u5011\u53ef\u89c0\u7684\u6536\u7a6b\u3002<\/p>\n

 <\/p>\n

\u7de8\u8b6f\u4f86\u6e90<\/strong><\/p>\n

Emerging Technology from the arXiv, \u201cWelcome to robot university (only robots need apply)<\/a>\u201c,MIT Technology Review<\/em>, 2019.<\/p>\n

\u53c3\u8003\u8cc7\u6599<\/strong><\/p>\n

    \n
  1. S. Dasari et al.,\u00a0\u201cRoboNet: Large-Scale Multi-Robot Learning<\/a>\u201c,\u00a0arXiv.org<\/em>, 2019.<\/li>\n
  2. J. Deng, W. Dong, R. Socher, L. Li, Kai Li and Li Fei-Fei,\u00a0\u201cImageNet: A large-scale hierarchical image database<\/a>\u201c,2009 IEEE Conference on Computer Vision and Pattern Recognition<\/em>, 2009.<\/li>\n<\/ol>\n

    (\u672c\u6587\u7531\u6559\u80b2\u90e8\u88dc\u52a9\u300cAI\u5831\u5831\u2500AI\u79d1\u666e\u63a8\u5ee3\u8a08\u756b\u300d\u57f7\u884c\u5718\u968a\u7de8\u8b6f)<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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