AI RESEARCH
Decoupling Stability and Plasticity for Multi-Modal Test-Time Adaptation
arXiv CS.CV
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ArXi:2603.00574v2 Announce Type: replace Adapting pretrained multi-modal models to evolving test-time distributions, known as multi-modal test-time adaptation, presents a significant challenge. Existing methods frequently encounter negative transfer in the unbiased modality and catastrophic forgetting in the biased modality. To address these challenges, we propose Decoupling Adaptation for Stability and Plasticity (DASP), a novel diagnose-then-mitigate framework.