Regularized Training with Generated Datasets for Name-Only Transfer of Vision-Language Models
Recent advancements in text-to-image generation have inspired researchers to generate datasets tailored for perception models using generative models, which prove particularly valuable in scenarios where real-world data is limited. In this study, our goal is to address the challenges when fine-tunin...
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