URM distills CLIP vision-language representations into learnable prototypes for few-shot counting, improving single-domain generalization on unseen datasets.
Explicit invariant feature induced cross-domain crowd counting
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
contradiction 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
contradiction 1polarities
contest 1representative citing papers
citing papers explorer
-
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.