UTMCR: 3U‐Net Transformer With Multi‐Contrastive Regularization for Single Image Dehazing

• Published in: Computer animation and virtual worlds Vol. 36; no. 3
• Main Authors: Xu, HangBin, Zou, ChangJun, Lin, ChuChao
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.05.2025; Wiley Subscription Services, Inc
• Subjects: Artificial neural networks; contrastive regularization; image dehazing; Modelling; Modules; Regularization; Regularization methods; Swin Transformer; U‐Net

ABSTRACT Convolutional neural networks have a long history of development in single‐width dehazing tasks, but have gradually been dominated by the Transformer framework due to their insufficient global modeling capability and large number of parameters. However, the existing Transformer network stru...