Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video Summarization

Li Yuan, Francis EH Tay, Ping Li +2

In this paper, we present a novel unsupervised video summarization model that requires no manual annotation. The proposed model termed Cycle-SUM adopts a new cycle-consistent adver…