arXiv cs.CV
· Papers
C-GAP: Class-Aware and Online Prompting Improves Vision-Language Models on Imbalanced Classes
arXiv:2607.09008v1 Announce Type: new Abstract: Safety-critical perception systems must reliably detect rare object classes within small label spaces, a setting that long-tailed detection methods, designed for hundreds of classes with dense annotation, fundamentally do not address. Open-vocabulary detectors offer a pro