Detecting Anomalous Regions from an Image based on Deep Captioning-Reference-Cited by-同舟云学术

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Detecting Anomalous Regions from an Image based on Deep Captioning

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
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Author:

Hatae Yusuke¹,Yang Qingpu²,Fadjrimiratno Muhammad²,Li Yuanyuan¹,Matsukawa Tetsu¹,Suzuki Einoshin¹

Affiliation:

1. ISEE, Kyushu University, Fukuoka, 819-0395, Japan, --- Select a Country ---

2. SLS, Kyushu University, Fukuoka, 819-0395, Japan, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cross-Modal Self-Supervised Feature Extraction for Anomaly Detection in Human Monitoring;2023 IEEE 19th International Conference on Automation Science and Engineering (CASE);2023-08-26

2. TEVAD: Improved video anomaly detection with captions;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

3. Region Anomaly Detection via Spatial and Semantic Attributed Graph in Human Monitoring;Sensors;2023-01-23

4. GIAD-ST: Detecting anomalies in human monitoring based on generative inpainting via self-supervised multi-task learning;Journal of Intelligent Information Systems;2022-06-30

5. Detecting Video Anomalous Events with an Enhanced Abnormality Score;Lecture Notes in Computer Science;2022

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