TDN

2000년 도입 · 논문 8편에서 사용

TDN, or Temporaral Difference Network, is an action recognition model that aims to capture multi-scale temporal information. To fully capture temporal information over the entire video, the TDN is established with a two-level difference modeling paradigm. Specifically, for local motion modeling, temporal difference over consecutive frames is used to supply 2D CNNs with finer motion pattern, while for global motion modeling, temporal difference across segments is incorporated to capture long-range structure for motion feature excitation.

출처: TDN: Temporal Difference Networks for Efficient Action Recognition

소개 논문: TDN: Temporal Difference Networks for Efficient Action Recognition