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Pytorch implementation of StNet: Local and Global Spatial-Temporal Modeling for Action Recognition

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StNet

This git holds the architecture of the network exposed in this paper: https://arxiv.org/pdf/1811.01549.pdf

It felt very inspired, but the team didn't release their code. I'm not among the authors but I felt eager to test it so I designed it following the instructions released in the paper. The actual implementation might differ.

This work is largely inspired by those codes :

Squeeze and Excite Resnet

https://github.com/hujie-frank/SENet

Traditionnal Resnet

https://github.com/pytorch/vision.git

Xception

https://github.com/tstandley/Xception-PyTorch.git

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