Temporal Action Detection with Structured Segment Networks

ICCV 2017 Yue ZhaoYuanjun XiongLimin WangZhirong WuXiaoou TangDahua Lin

Detecting actions in untrimmed videos is an important yet challenging task. In this paper, we present the structured segment network (SSN), a novel framework which models the temporal structure of each action instance via a structured temporal pyramid... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Action Recognition THUMOS’14 SSN [email protected] 66.0 # 1
[email protected] 59.4 # 1
[email protected] 51.9 # 3
[email protected] 41.0 # 5
[email protected] 29.8 # 5

Methods used in the Paper


METHOD TYPE
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