Progressive Negative Enhancing Contrastive Learning for Image Dehazing and Beyond-Reference-Cited by-同舟云学术

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Progressive Negative Enhancing Contrastive Learning for Image Dehazing and Beyond

Published:2024 Issue: Volume:26 Page:8783-8798
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Cheng De¹^ORCID,Li Yan²^ORCID,Zhang Dingwen³^ORCID,Wang Nannan¹^ORCID,Sun Jiande²^ORCID,Gao Xinbo⁴^ORCID

Affiliation:

1. School of Telecommunications Engineering, Xidian University, Xi'an, China

2. School of Information Science and Engineering, Shandong Normal University, Jinan, China

3. School of Automation, Northwestern Polytechnical University, Xi'an, China

4. Chongqing University of Posts and Telecommunications, Chongqing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Shaanxi Province Key Research and Development Plan

Key Laboratory of Big Data Intelligent Computing for Chongqing University of Posts and Telecommunications

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6046/10384483/10480609.pdf?arnumber=10480609

Reference78 articles.

1. Background-Click Supervision for Temporal Action Localization

2. Hybrid routing transformer for zero-shot learning

3. Separating Noisy Samples From Tail Classes for Long-Tailed Image Classification With Label Noise

4. Weakly Supervised Semantic Segmentation via Alternate Self-Dual Teaching

5. Weakly Supervised Object Detection Using Proposal- and Semantic-Level Relationships

Cited by 3 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. LWTD: a novel light-weight transformer-like CNN architecture for driving scene dehazing;International Journal of Machine Learning and Cybernetics;2024-09-02

2. Fast no-reference deep image dehazing;Machine Vision and Applications;2024-08-29

3. TSID-Net: a two-stage single image dehazing framework with style transfer and contrastive knowledge transfer;The Visual Computer;2024-06-07

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