2016
Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition
NeurIPS 2016poster
Contexts are crucial for action recognition in video. Current methods often mine contexts after extracting hierarchical local features and focus on their high-order encodings. This paper instead explores contexts as early as possible and leverages their evolutions for action recognition. In particul…