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Injecting diffusion representations into CLIP pipelines boosts CZSL performance, revealing the untapped potential of generative models in zero-shot learning tasks.
FlowCIR slashes training resource requirements by 90% while boosting robustness against negation in zero-shot image retrieval tasks.
