AIBullisharXiv – CS AI · Mar 26/109
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ProtoDCS: Towards Robust and Efficient Open-Set Test-Time Adaptation for Vision-Language Models
Researchers propose ProtoDCS, a new framework for robust test-time adaptation of Vision-Language Models in open-set scenarios. The method uses Gaussian Mixture Model verification and uncertainty-aware learning to better handle distribution shifts while maintaining computational efficiency.