Proposes input-agnostic latent prompts for robust cross-modal compensation in missing-modality visual recognition, claiming SOTA on three benchmarks.
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Learning from Reliable Latent Prompts for Visual Recognition with Missing Modalities
Proposes input-agnostic latent prompts for robust cross-modal compensation in missing-modality visual recognition, claiming SOTA on three benchmarks.