Jdlmask: joint defogging learning with boundary refinement for foggy scene instance segmentation

Xiaojian Wang; Jichang Guo; Yudong Wang; Wanru He

doi:10.1007/s00371-023-03230-0

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Jdlmask: joint defogging learning with boundary refinement for foggy scene instance segmentation

Xiaojian Wang Jichang Guo Yudong Wang Wanru He

Year: 2024 Journal: The Visual Computer Vol: 40 (11)Pages: 8155-8172 Publisher: Springer Science+Business Media

DOI: 10.1007/s00371-023-03230-0

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Keywords:

Computer science Segmentation Artificial intelligence Joint (building) Computer vision Computer graphics Boundary (topology) Computer graphics (images) Mathematics Engineering

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Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

Jdlmask: joint defogging learning with boundary refinement for foggy scene instance segmentation

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Citation History

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