Specificity-aware reinforcement learning for fine-grained open-world classification
arXiv:2603.03197v3 Announce Type: replace
Abstract: Classifying fine-grained visual concepts under open-world settings, i.e., without a predefined label set, demands models to be both accurate and specific. Recent reasoning Large Multimodal Models (LM…