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cs.CV2026
SfMamba: Efficient Source-Free Domain Adaptation via Selective Scan Modeling
Xi Chen, Hongxun Yao, Sicheng Zhao +3
Source-free domain adaptation (SFDA) tackles the critical challenge of adapting source-pretrained models to unlabeled target domains without access to source data, overcoming data…
cs.CV2025
DAM: Dual Active Learning with Multimodal Foundation Model for Source-Free Domain Adaptation
Xi Chen, Hongxun Yao, Zhaopan Xu +1
Source-free active domain adaptation (SFADA) enhances knowledge transfer from a source model to an unlabeled target domain using limited manual labels selected via active learning.…
cs.CV2024
FrozenSeg: Harmonizing Frozen Foundation Models for Open-Vocabulary Segmentation
Xi Chen, Haosen Yang, Sheng Jin +2
Open-vocabulary segmentation poses significant challenges, as it requires segmenting and recognizing objects across an open set of categories in unconstrained environments. Buildin…