A gradient-norm heuristic applied to CLIP prompt weights is proposed to detect unknown classes in open-set domain adaptation, with Office-Home experiments against CLIP and CoOp.
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Open Set Domain Adaptation with Vision-language models via Gradient-aware Separation
A gradient-norm heuristic applied to CLIP prompt weights is proposed to detect unknown classes in open-set domain adaptation, with Office-Home experiments against CLIP and CoOp.