CLIPoint3D is the first CLIP-based framework for few-shot unsupervised 3D point cloud domain adaptation that reports 3-16% accuracy gains on PointDA-10 and GraspNetPC-10.
A stochastic approxi- mation method.The annals of mathematical statistics, pages 400–407
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HSA-DINO improves open-vocabulary object detection on domain-shifted tasks via hierarchical semantic prompts and dynamic routing while preserving pre-trained generalization.
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CLIPoint3D: Language-Grounded Few-Shot Unsupervised 3D Point Cloud Domain Adaptation
CLIPoint3D is the first CLIP-based framework for few-shot unsupervised 3D point cloud domain adaptation that reports 3-16% accuracy gains on PointDA-10 and GraspNetPC-10.
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Parameter-Efficient Semantic Augmentation for Enhancing Open-Vocabulary Object Detection
HSA-DINO improves open-vocabulary object detection on domain-shifted tasks via hierarchical semantic prompts and dynamic routing while preserving pre-trained generalization.