SFDA-CD: A Source-Free Unsupervised Domain Adaptation for VHR Image Change Detection
Jingxuan Wang,
Chen Wu
Abstract:Deep models may have disappointing performance in real applications due to the domain shifts in data distributions between the source and target domain. Although a few unsupervised domain adaptation methods have been proposed to make the pre-train models effective on target domain datasets, constraints like data privacy, security, and transmission limits restrict access to VHR remote sensing images, making existing unsupervised domain adaptation methods almost ineffective in specific change detection areas. Th… Show more
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