Temporal Action Detection with Structured Segment Networks

International Journal of Computer Vision, pp. 74-95, 2019.

Cited by: 440|Views169
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Abstract:

This paper addresses an important and challenging task, namely detecting the temporal intervals of actions in untrimmed videos. Specifically, we present a framework called structured segment network (SSN). It is built on temporal proposals of actions. SSN models the temporal structure of each action instance via a structured temporal pyra...More

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