Comprehensive Saliency Fusion for Object Co-segmentation-Reference-Cited by-同舟云学术

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Comprehensive Saliency Fusion for Object Co-segmentation

Published:2021-11 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Symposium on Multimedia (ISM)
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Author:

Chhabra Harshit Singh,Rao Jerripothula Koteswar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9666039/9665797/09666132.pdf?arnumber=9666132

Reference36 articles.

1. Image Co-Skeletonization via Co-Segmentation

2. Multi-View Saliency-Guided Clustering for Image Cosegmentation

3. Image Co-Saliency Detection and Co-Segmentation via Progressive Joint Optimization

4. Quality-Guided Fusion-Based Co-Saliency Estimation for Image Co-Segmentation and Colocalization

5. TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation

Cited by 1 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. AppFuse: An Appearance Fusion Framework for Saliency Cues;IEEE Transactions on Circuits and Systems for Video Technology;2022-12

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