Sparsity-Aware Vision Transformer Network for Efficient Event-Based Action Recognition
Event cameras can capture human motion with low latency and high dynamic range, providing an emerging sensing paradigm for action recognition. A large body of recent work converts event data into a sequence of dense frames and feeds them into a video classification model for prediction. Although the frame-based methods...