-
Neta Zmora authored
This notebook provides visualizations of ResNet50 models pay attention to when they classify. In other words, what are the models looking at. This information can be used for localization, but here it is provided merely to build our intuition. Based on: B. Zhou, A. Khosla, A. Lapedriza, A. Oliva, and A. Torralba. Learning Deep Features for Discriminative Localization. CVPR'16 (arXiv:1512.04150, 2015). https://alexisbcook.github.io/2017/global-average-pooling-layers-for-object-localization/
Neta Zmora authoredThis notebook provides visualizations of ResNet50 models pay attention to when they classify. In other words, what are the models looking at. This information can be used for localization, but here it is provided merely to build our intuition. Based on: B. Zhou, A. Khosla, A. Lapedriza, A. Oliva, and A. Torralba. Learning Deep Features for Discriminative Localization. CVPR'16 (arXiv:1512.04150, 2015). https://alexisbcook.github.io/2017/global-average-pooling-layers-for-object-localization/
Loading