2020
DOI: 10.1109/lsp.2020.3018914
|View full text |Cite
|
Sign up to set email alerts
|

Spatial Enhancement and Temporal Constraint for Weakly Supervised Action Localization

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(1 citation statement)
references
References 19 publications
0
1
0
Order By: Relevance
“…T EMPORAL action localization (TAL) is an important visual task with numerous applications (e.g., anomaly detection [1] and video retrieval [2]) and has witnessed remarkable progress in the fully-supervised setting [3]. To bypass the tedious manual annotations of action boundaries, video-level weakly-supervised TAL methods [4]- [6] has draw increasing attention which localizes actions with only videolevel class labels. However, due to the absent of explicit location supervision, they suffer from action-background confusion and drop largely behind the fully-supervised methods.…”
Section: Introductionmentioning
confidence: 99%
“…T EMPORAL action localization (TAL) is an important visual task with numerous applications (e.g., anomaly detection [1] and video retrieval [2]) and has witnessed remarkable progress in the fully-supervised setting [3]. To bypass the tedious manual annotations of action boundaries, video-level weakly-supervised TAL methods [4]- [6] has draw increasing attention which localizes actions with only videolevel class labels. However, due to the absent of explicit location supervision, they suffer from action-background confusion and drop largely behind the fully-supervised methods.…”
Section: Introductionmentioning
confidence: 99%