AFO-TAD: Anchor-free One-Stage Detector for Temporal Action Detection

Understand

Temporal action detection is a fundamental yet challenging task in video understanding.

• Many of the state-of-the-art methods predict the boundaries of action instances based on predetermined anchors akin to the two-dimensional object detection detectors.
• However, it is hard to detect all the action instances with predetermined temporal scales because the durations of instances in untrimmed videos can vary from few seconds to several minutes.
• In this paper, we propose a novel action detection architecture named anchor-free one-stage temporal action detector (AFO-TAD).