Bi-CoG improves semi-supervised fine-tuning of VLMs by combining inter-model voting, intra-model consistency, and an error-aware pseudo-label budget.
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Bi-CoG: Bi-Consistency-Guided Self-Training for Vision-Language Models
Bi-CoG improves semi-supervised fine-tuning of VLMs by combining inter-model voting, intra-model consistency, and an error-aware pseudo-label budget.