Deformable Attention Multiscale Feature Fusion Network‐Dehaze: An Adaptive Image Dehazing Method Based on Deformable Attention Multiscale Fusion Network

Image dehazing, a fundamental computer vision task, is crucial for the stability of multiple downstream systems. Traditional methods have limited generalization, while deep learning methods face bottlenecks like error accumulation and poor adaptability. To address these, this paper proposes deformab...

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Автори:	Ruipeng Wang, Yajun Chen, Hao Liu, Mingrui Li, Zhiqi Li
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Wiley 2026-05-01
Серія:	Advanced Intelligent Systems
Предмети:	cross‐scale fusion deformable convolution image dehazing multiscale attention residual shrinkage unit
Онлайн доступ:	https://doi.org/10.1002/aisy.202501476
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