OpenworldAUC jointly measures base/new detection and domain-specific classification via pairwise ranking, and GMoP optimizes it with gated domain-specific prompts.
Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
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OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning
OpenworldAUC jointly measures base/new detection and domain-specific classification via pairwise ranking, and GMoP optimizes it with gated domain-specific prompts.