Learning Deep Features for Discriminative Localization
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- Class Activation MappingCAM生成
- 实验结果
- 分类
- 定位
- 细粒度识别
- 参考文献
NIN[2]提出的全局平均池化(Global Average Pooling, GAP),代替如AlexNet和VGG中出现的含大量参数的的全连接层(FC6、FC7),能起到防止过拟合、提高泛化能力的作用。而且相对于FC层, GAP对空间平移更鲁棒, 可解释性也更强。除了上述优点, 本文提出另一观点,GAP能有效地定位感兴趣的物体位置。
Class Activation Mapping(CAM)生成
设
设
具体代码参考链接https://github.com/nicklhy/CAM/blob/master/cam.ipynb,不过其中一些mxnet用法已经过时了,需要自己修改。
实验结果
分类
定位
细粒度识别
参考文献
- 1:Learning Deep Features for Discriminative Localization
- 2:Network in network
未完待续
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