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cs.CV2025
Attn-Adapter: Attention Is All You Need for Online Few-shot Learner of Vision-Language Model
Phuoc-Nguyen Bui, Khanh-Binh Nguyen, Hyunseung Choo
Contrastive vision-language models excel in zero-shot image recognition but face challenges in few-shot scenarios due to computationally intensive offline fine-tuning using prompt…
cs.CV2025
Accelerating Conditional Prompt Learning via Masked Image Modeling for Vision-Language Models
Phuoc-Nguyen Bui, Khanh-Binh Nguyen, Hyunseung Choo
Vision-language models (VLMs) like CLIP excel in zero-shot learning but often require resource-intensive training to adapt to new tasks. Prompt learning techniques, such as CoOp an…
cs.CV2025
Adaptive Cache Enhancement for Test-Time Adaptation of Vision-Language Models
Khanh-Binh Nguyen, Phuoc-Nguyen Bui, Hyunseung Choo +1
Vision-language models (VLMs) exhibit remarkable zero-shot generalization but suffer performance degradation under distribution shifts in downstream tasks, particularly in the abse…