2021
Shifted Chunk Transformer for Spatio-Temporal Representational Learning
NeurIPS 2021poster
Spatio-temporal representational learning has been widely adopted in various fields such as action recognition, video object segmentation, and action anticipation.Previous spatio-temporal representational learning approaches primarily employ ConvNets or sequential models, e.g., LSTM, to learn the in…