Sequence-to-Segment Networks for Segment Detection

NeurIPS 2018 Zijun WeiBoyu WangMinh Hoai NguyenJianming ZhangZhe LinXiaohui ShenRadomir MechDimitris Samaras

Detecting segments of interest from an input sequence is a challenging problem which often requires not only good knowledge of individual target segments, but also contextual understanding of the entire input sequence and the relationships between the target segments. To address this problem, we propose the Sequence-to-Segment Network (S$^2$N), a novel end-to-end sequential encoder-decoder architecture... (read more)

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