SST: Single-Stream Temporal Action Proposals

CVPR 2017 Shyamal BuchVictor EscorciaChuanqi ShenBernard GhanemJuan Carlos Niebles

Our paper presents a new approach for temporal detection of human actions in long, untrimmed video sequences. We introduce Single-Stream Temporal Action Proposals (SST), a new effective and efficient deep architecture for the generation of temporal action proposals... (read more)

PDF Abstract

Evaluation Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.