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laura-wang / video_repres_sts

Pytorch implementation of our T-PAMI 2021 paper: Self-supervised Video Representation Learning by Uncovering Motion and Appearance Statistics
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Vizualization #4

Open mohamedmansour0 opened 3 years ago

mohamedmansour0 commented 3 years ago

Thanks for sharing the amazing work, I'd like to know how to generate the attention visualization from this repo in a similar fashion to fig 10 in the paper like this image

JianboJiao commented 3 years ago

Thanks for your interest. We used the method proposed in the following paper to visualise the attention map from the conv5 layer:

S. Zagoruyko and N. Komodakis, “Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer,” in ICLR, 2017.