Adaptive Modality Reliability Diagnosis and Restoration for Robust Multimodal Intent Recognition
Multimodal intent recognition combines linguistic, acoustic, and visual evidence, but individual modalities may be noisy, missing, semantically conflicting, or disproportionately dominant. Existing methods typically infer modality importance implicitly and either reweight or suppress unreliable inputs, without determining whether a degraded modality can be repaired and subsequently trusted. We propose PRIME (Precision-weighted Reliability Inference and Modality rEstoration), a closed-loop reliability guided framework that jointly diagnoses, restores, and reassesses modality quality at the sample level. PRIME represents the weakness of each modality through a contextual log-variance estima...
| Authors | Suraj Kumar, Mohnish Raj, Soumi Chattopadhayay et al. |
|---|---|
| Primary category | cs.MM |
| Published | 4 August 2026 |
| Last updated at source | 4 August 2026 |
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