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[ICCV2021] Official code for "Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition"

[CVPR 2021] TDN: Temporal Difference Networks for Efficient Action Recognition

[CVPR2021] UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)

Official PyTorch implementation of ACTION-Net: Multipath Excitation for Action Recognition (CVPR'21)

The codebase for SGP-JCA

Learning to See in the Dark. CVPR 2018

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

The Pytorch code of the TEA module (Temporal Excitation and Aggregation for Action Recognition)

PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition", CVPR 2020 Oral

CVPR 2020 论文开源项目合集

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

The implementation for "Skeleton-Based Action Recognition with Shift Graph Convolutional Network" (CVPR2020).

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding.

Spatio-Temporal Action Localization System

This is the implementation of CVPR2020 paper “Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition”.

R(2+1)D and Mixed-Convolutions for Action Recognition.

Mish Deep Learning Activation Function for PyTorch / FastAI

Keras implementation for Deep Embedding Clustering (DEC)

[NeurIPS 2019] Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition