DynProto dynamically builds OOD prototypes from ID-only data via coarse caching and fine clustering of confused samples to improve OOD detection in VLMs, cutting FPR95 by 11.6% on ImageNet benchmarks.
Knowledge guided disambiguation for large- scale scene classification with multi-resolution cnns.IEEE TIP, 26:2055–2068
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DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection
DynProto dynamically builds OOD prototypes from ID-only data via coarse caching and fine clustering of confused samples to improve OOD detection in VLMs, cutting FPR95 by 11.6% on ImageNet benchmarks.