PAST: Prior-Aware Sparse Transformer for Micro-Expression Recognition
The Prior-aware Sparse Transformer (PAST) is proposed, a novel Transformer-based architecture integrating spatial and semantic prior knowledge synergistically into a sparse attention mechanism, enabling linear-complexity processing of large amounts of fine-grained features.