MuRA: Multi-Rank Adaptation for Efficient and Effective Test-Time Vision-Language Generalization
Multi-Rank Adaptation (MuRA), a novel framework that dynamically selects and fuses adaptation modules of varying capacities based on token-level visual complexity, is proposed, which achieves state-of-the-art accuracy across extensive domain generalization and cross-dataset benchmarks while significantly reducing both...