/Gait3D-Benchmark

This is the code for the paper "Gait Recognition in the Wild with Dense 3D Representations and A Benchmark. (CVPR 2022)", "Gait Recognition in the Wild with Multi-hop Temporal Switch", "Parsing is All You Need for Accurate Gait Recognition in the Wild", and "It Takes Two: Accurate Gait Recognition in the Wild via Cross-granularity Alignment".

Primary LanguagePython

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