Weakly Supervised Temporal Action Localization by Multi-Stage Fusion Network

Most temporal action localization methods are usually trained using video data-sets with frame-wise annotations which are expensive and time-consuming to acquire. To alleviate this problem, many weakly supervised temporal action localization methods which only leverage video-level annotations during...

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Bibliographic Details
Main Authors: Zhengyang Shen, Feng Wang, Jin Dai
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8963634/