JOURNAL ARTICLE

Multi-prompt learning for robust weakly supervised video anomaly detection via long-video understanding

Yi-Cheng TsaiHsin‐Hung LinWen‐Hsien FangYie‐Tarng Chen

Year: 2025 Journal:   IET conference proceedings. Vol: 2025 (15)Pages: 418-420   Publisher: Institution of Engineering and Technology
Keywords:
Anomaly detection Computer science Artificial intelligence Anomaly (physics) Physics

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.15
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Network Security and Intrusion Detection
Physical Sciences →  Computer Science →  Computer Networks and Communications
Artificial Immune Systems Applications
Physical Sciences →  Engineering →  Biomedical Engineering

Related Documents

JOURNAL ARTICLE

Temporal-aware prompt learning for weakly-supervised video anomaly detection

Lin YuanXun DuanGuangqian KongHuiyun Long

Journal:   Signal Image and Video Processing Year: 2025 Vol: 19 (18)
JOURNAL ARTICLE

Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection

Yujiang PuXiaoyu WuLulu YangShengjin Wang

Journal:   IEEE Transactions on Image Processing Year: 2024 Vol: 33 Pages: 4923-4936
JOURNAL ARTICLE

Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt

Benfeng WangChao HuangJie WenWei WangYabo LiuYong Xu

Journal:   Proceedings of the AAAI Conference on Artificial Intelligence Year: 2025 Vol: 39 (20)Pages: 21017-21025
JOURNAL ARTICLE

Multilingual-Prompt-Guided Directional Feature Learning for Weakly Supervised Video Anomaly Detection

Chunxia XiaoYang XiaoJoey Tianyi ZhouZhiwen Fang

Journal:   IEEE Transactions on Pattern Analysis and Machine Intelligence Year: 2025 Vol: 47 (11)Pages: 9994-10011
© 2026 ScienceGate Book Chapters — All rights reserved.