Multi-granularity Generator for Temporal Action Proposal

CVPR 2019 • Yuan Liu • Lin Ma • Yifeng Zhang • Wei Liu • Shih-Fu Chang

Temporal action proposal generation is an important task, aiming to localize the video segments containing human actions in an untrimmed video. In this paper, we propose a multi-granularity generator (MGG) to perform the temporal action proposal from different granularity perspectives, relying on the video visual features equipped with the position embedding information... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Temporal Action Proposal Generation ActivityNet-1.3 MGG AUC (val) 66.43 # 2
[email protected] 74.54 # 2
Action Recognition THUMOS’14 MGG UNet [email protected] 53.9 # 1
[email protected] 46.8 # 1
[email protected] 37.4 # 1

Methods used in the Paper


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