pytorch and sparceconov.The website for sparse convolution is here
You would have a folder structure like the following:
.
+-- data
+-- src
+-- readme.md
+-- data.zip
cd src
./sh/ad/train00.sh
Try different script in the folder sh to reproduce the results in the paper.
NeurIPS 2021 Paper "Learning with Algorithmic Supervision via Continuous Relaxations"
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Multi-query Video Retreival
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