[논문해석] Temporal Convolutional Networks for Action Segmentation and Detection
0. 원문 1. 해석 (0) Abstract The ability to identify and temporally segment finegrained human actions throughout a video is crucial for robotics, surveillance, education, and beyond. Typical approaches decouple this problem by first extracting local spatiotemporal features from video frames and then feeding them into a temporal classifier that captures highlevel temporal patterns. We describe a clas..