DiCap generates diffusion-based counterfactual images and uses them as hard negatives in contrastive prompt learning, reporting modest gains over existing prompt learning baselines on unseen classes.
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Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation
DiCap generates diffusion-based counterfactual images and uses them as hard negatives in contrastive prompt learning, reporting modest gains over existing prompt learning baselines on unseen classes.