[TOC] <font face="新宋体"> <font color=#EE4000 size=3><b>聚合-转移视角分析CNN</b></font> <table width=70%> <tr bgcolor=#EEC900> <th width=10%></th> <th width=30%, colspan="3">S<sub>l</th> <th width=30%, colspan="4">S<sub>l</th> <th width=20%, colspan="2">X<sub>l</th> </tr> <tr bgcolor=#EEE9BF><th>LeNet <td>✔<td><td> <td>✔<td><td><td><td>✔<td></td> </tr> <tr bgcolor=#EEE9BF><th>AlexNet <td>✔<td><td> <td>✔<td><td><td><td>✔<td></td> </tr> <tr bgcolor=#EEE9BF><th>VGG <td>✔<td><td> <td>✔<td><td><td><td>✔<td></td> </tr> <tr bgcolor=#EEE9BF><th>GoogLeNet <td>✔<td><td> <td>✔<td><td><td><td><td>✔</td> </tr> <tr bgcolor=#EEE9BF><th>Inception V2 V3<td>✔<td><td> <td>✔<td><td><td><td><td>✔</td> </tr> <tr bgcolor=#EEE9BF><th>Inception V4<td><td>✔<td> <td><td>✔<td><td><td><td>✔</td> </tr> <tr bgcolor=#EEE9BF><th>PreResNet<td><td>✔<td> <td><td>✔<td><td><td>✔<td></td> </tr> <tr bgcolor=#EEE9BF><th>ResNeXt<td><td>✔<td> <td><td>✔<td><td><td>✔<td></td> </tr> <tr bgcolor=#EEE9BF><th>DenseNet<td><td>✔<td> <td><td><td>✔<td><td>✔<td></td> </tr> <tr bgcolor=#EEE9BF><th>DPN<td><td>✔<td> <td><td><td><td>✔<td>✔<td></td> </tr> <tr bgcolor=#EEE9BF><th>MixNet<td><td>✔<td> <td><td><td><td>✔<td>✔<td></td> </tr> <tr bgcolor=#EEE9BF><th>NASNet, ENASNet<td><td><td>✔ <td><td><td>✔<td><td><td>✔</td> </tr> <tr bgcolor=#EEE9BF><th>ShuffleNet<td><td>✔<td> <td><td><td><td>✔<td>✔<td></td> </tr> <tr bgcolor=#EEE9BF><th>MobileNet V1<td>✔<td><td> <td>✔<td><td><td><td>✔<td></td> </tr> <tr bgcolor=#EEE9BF><th>MobileNet V2<td><td>✔<td> <td><td>✔<td><td><td>✔<td></td> </tr> <tr bgcolor=#EEE9BF><th>SENet-ResNeXt<td><td>✔<td> <td><td>✔<td><td><td><td>✔</td> </tr> </table> ## 参考 [1] 从聚合-转移框架浅谈卷积神经网络的架构设计：<https://ke.qq.com/course/286804>课程第一期