PyTorch implementation of Multi-stage Metric Learning with CLIP-based Adaptation for Few-shot Action Recognition.

MML-FSAR is a PyTorch implementation of a multi-stage metric learning framework for few-shot action recognition that adapts CLIP using motion modeling modules and a tailored metric learning objective, with installation requirements including Python 3.10 and PyTorch >= 2.0.0, and training/evaluation