2 papers
cs.CV2026
Cross-Domain Transfer with Self-Supervised Spectral-Spatial Modeling for Hyperspectral Image Classification
Jianshu Chao, Tianhua Lv, Qiqiong Ma +4
Self-supervised learning has demonstrated considerable potential in hyperspectral representation, yet its application in cross-domain transfer scenarios remains under-explored. Exi…
cs.CV2024
Style Adaptation for Domain-adaptive Semantic Segmentation
Ting Li, Jianshu Chao, Deyu An
Unsupervised Domain Adaptation (UDA) refers to the method that utilizes annotated source domain data and unlabeled target domain data to train a model capable of generalizing to th…