arrow
Return

Decoupled Spatial-temporal Predicting Model for Weakly Supervised Action Localization

delete2026-01-07
delete0
PRE
AI
W
Wang Gui-qin
P
Peng Zhao
X
Xiang Wang
X
Xin An
Q
qian Zhang
S
Shusen Yang
Q
Qinghai Guo
DOI:10.1016/j.knosys.2025.115241delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• Unsupervisedly predict the potential action boundaries for WSAL • Build a novel framework to learn temporal variations in VLM • Build a residual hierarchical spatio-temporal predictive model • Extensive experiments prove the effectiveness of our method

Journal

K
Knowledge-Based Systems
IF:
7.6
Papers:
1.2W
Citations:
4.5W

Organization

X
xi'an jiaotong university
Scholars:
9.2W
Papers: 6.6W
Citations: 75
H
Huawei Technologies Co., Ltd.
Scholars:
2
Papers: 1
Citations: 0