AI RESEARCH
Boosting Quantitive and Spatial Awareness for Zero-Shot Object Counting
arXiv CS.CV
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ArXi:2603.16129v1 Announce Type: new Zero-shot object counting (ZSOC) aims to enumerate objects of arbitrary categories specified by text descriptions without requiring visual exemplars. However, existing methods often treat counting as a coarse retrieval task, suffering from a lack of fine-grained quantity awareness. Furthermore, they frequently exhibit spatial insensitivity and degraded generalization due to feature space distortion during model adaptation.