UntrimmedNets for Weakly Supervised Action Recognition and Detection

CVPR 2017 Limin WangYuanjun XiongDahua LinLuc Van Gool

Current action recognition methods heavily rely on trimmed videos for model training. However, it is expensive and time-consuming to acquire a large-scale trimmed video dataset... (read more)

PDF Abstract CVPR 2017 PDF CVPR 2017 Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Action Classification ActivityNet-1.2 UntrimmedNets mAP 87.7 # 3
Action Classification THUMOS’14 UntrimmedNets mAP 82.2 # 3
Weakly Supervised Action Localization THUMOS 2014 UntrimmedNets [email protected] 13.7 # 11

Methods used in the Paper


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