A training-free test-time adaptation method shifts CLIP embeddings of 3D objects toward confident target samples, with LLM-generated text cues, and reports large gains on four open-set retrieval benchmarks.
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TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution Alignment
A training-free test-time adaptation method shifts CLIP embeddings of 3D objects toward confident target samples, with LLM-generated text cues, and reports large gains on four open-set retrieval benchmarks.