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SPACE: Semantic Projection and Alignment of CLIP Embeddings for Domain Adaptation

arXiv · AI, language, vision and robotics · article · Sep 19, 2026 · UTC

A fundamental challenge in deploying vision models is domain shift, which arises when training and test data follow different distributions, leading to degraded performance. This challenge is amplified when the same semantic concept appears under distinct visual forms, such as photographs and sketches, where visual similarity is weak despite semantic correspondence. Existing unsupervised domain-adaptation methods aim to align distributions across domains but often ignore semantic relationships among samples of the same class. To address this issue, this paper introduces SPACE, a method that ex

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