Semi-supervised dehazing method based on image enhancement and multi-negative contrastive auxiliary learning

Qianwen Hou; Shilong Wang; Jianlei Liu

doi:10.1007/s13042-025-02744-4

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Semi-supervised dehazing method based on image enhancement and multi-negative contrastive auxiliary learning

Qianwen Hou Shilong Wang Jianlei Liu

Year: 2025 Journal: International Journal of Machine Learning and Cybernetics Vol: 16 (11)Pages: 9095-9108 Publisher: Springer Science+Business Media

DOI: 10.1007/s13042-025-02744-4

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Keywords:

Computational intelligence Computer science Artificial intelligence Image (mathematics) Pattern recognition (psychology) Image enhancement Computer vision Machine learning

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Topics

Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Fire Detection and Safety Systems

Physical Sciences → Engineering → Safety, Risk, Reliability and Quality

Semi-supervised dehazing method based on image enhancement and multi-negative contrastive auxiliary learning

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Citation History

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