URM distills CLIP vision-language representations into learnable prototypes for few-shot counting, improving single-domain generalization on unseen datasets.
Open-vocabulary panoptic segmentation with embedding modulation.2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 1141–1150,
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Single Domain Generalization for Few-Shot Counting via Universal Representation Matching
URM distills CLIP vision-language representations into learnable prototypes for few-shot counting, improving single-domain generalization on unseen datasets.