Query-aware multi-scale proposal network for weakly supervised temporal sentence grounding in videos

Mingyao Zhou; Wenjing Chen; Hao Sun; Wei Xie; Ming Dong; Xiaoqiang Lu

doi:10.1016/j.knosys.2024.112592

ScienceGate Book Chapters

JOURNAL ARTICLE

Query-aware multi-scale proposal network for weakly supervised temporal sentence grounding in videos

Mingyao Zhou Wenjing Chen Hao Sun Wei Xie Ming Dong Xiaoqiang Lu

Year: 2024 Journal: Knowledge-Based Systems Vol: 304 Pages: 112592-112592 Publisher: Elsevier BV

DOI: 10.1016/j.knosys.2024.112592

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Sentence Scale (ratio) Artificial intelligence Ground Natural language processing Electrical engineering Engineering Cartography Geography

Metrics

Cited By

1.06

FWCI (Field Weighted Citation Impact)

Refs

0.69

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Analysis and Summarization

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Query-aware multi-scale proposal network for weakly supervised temporal sentence grounding in videos

Metrics

Citation History

Topics

Related Documents

Contrastive Perturbation Network for Weakly Supervised Temporal Sentence Grounding

Local Correspondence Network for Weakly Supervised Temporal Sentence Grounding

Weakly Semi-supervised Temporal Sentence Grounding in Videos with Point Annotations

Weakly Supervised Temporal Sentence Grounding with Gaussian-based Contrastive Proposal Learning

Adaptive proposal network based on generative adversarial learning for weakly supervised temporal sentence grounding