Qinyue Tong

Hierarchical Divide-and-Conquer Grouping for Classification Adaptation of Pre-Trained Models

Existing adaptation methods of pre-trained vision-language models like CLIP often rely on base-class samples during fine-tuning, introducing systematic biases that distort decision boundaries and degrade performance on novel classes. In this work, we break new ground by proposing a hierarchical divi…