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...
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/ |
Similar Items
-
A Survey on Temporal Action Localization
by: Huifen Xia, et al.
Published: (2020-01-01) -
Entropy guided attention network for weakly-supervised action localization
by: Cheng, Yi, et al.
Published: (2023) -
An Improved Point-Level Supervision Method for Temporal Action Localization
by: Sangjin Lee, et al.
Published: (2023-01-01) -
Temporal Action Localization With Coarse-to-Fine Network
by: Min Zhang, et al.
Published: (2022-01-01) -
Weakly-Supervised Video Anomaly Detection with MTDA-Net
by: Huixin Wu, et al.
Published: (2023-11-01)