OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
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Updated
Aug 14, 2024 - Python
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
PyTorch implementation of X3D models with Multigrid training.
[CVPR 2020] X3D: Expanding Architectures for Efficient Video Recognition
An implementation of the X3D video recognition architecture in TensorFlow/Keras
PySlowFast, the official video understanding framework from Facebook AI Research (FAIR), to train, evaluate, and reproduce state-of-the-art video models on the UCF24 action detection dataset. It supports customizable training pipelines, model fine-tuning, and evaluation for video-based action recognition and spatio-temporal localization tasks.
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