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COSMO redefines source-free domain adaptation by dynamically balancing the influence of source models and vision-language models, achieving unprecedented performance while mitigating source bias.
Achieve state-of-the-art person re-identification with only 20% of the data by explicitly teaching the model to "think" before matching identities.
