A Fusion Framework for Camouflaged Moving Foreground Detection in the Wavelet Domain-Reference-Cited by-同舟云学术

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A Fusion Framework for Camouflaged Moving Foreground Detection in the Wavelet Domain

Published:2018-08 Issue:8 Volume:27 Page:3918-3930
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Li Shuai^ORCID,Florencio Dinei,Li Wanqing^ORCID,Zhao Yaqin,Cook Chris

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/8347140/08344427.pdf?arnumber=8344427

Cited by 42 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

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2. A survey on deep learning-based camouflaged object detection;Multimedia Systems;2024-09-11

3. Locate, enhance and fuse: a progressively optimized network for camouflaged object detection;Multimedia Tools and Applications;2024-07-29

4. Utilizing grounded SAM for self-supervised frugal camouflaged human detection;Automatic Target Recognition XXXIV;2024-06-07

5. AFINet: Camouflaged object detection via Attention Fusion and Interaction Network;Journal of Visual Communication and Image Representation;2024-06

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