DPAC: Dual-Path Domain Bridging With Atmospheric Correction for Adverse Weather Adaptation

Data-driven semantic segmentation models often generalize poorly to unseen adverse weather conditions due to significant domain shifts and the lack of labeled data in the target domain. While recent unsupervised domain adaptation (UDA) approaches attempt to mitigate this gap through adversarial alig...

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Autori principali:	Nan Xia, Xinxiang Wang, Guoqing Hu, Jahangir Alam SM, Chengzhi Lyu, Dan Wang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2026-01-01
Serie:	IEEE Access
Soggetti:	Unsupervised domain adaptation adverse scenes understanding domain bridge semantic segmentation domain generalization
Accesso online:	https://ieeexplore.ieee.org/document/11328087/
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