2 papers
cs.CV2026
ACE-LoRA: Graph-Attentive Context Enhancement for Parameter-Efficient Adaptation of Medical Vision-Language Models
M. Arda Aydın, Melih B. Yilmaz, Aykut Koç +1
The success of CLIP-like vision-language models (VLMs) on natural images has inspired medical counterparts, yet existing approaches largely fall into two extremes: specialist model…
cs.CV2025
ITACLIP: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural Enhancements
M. Arda Aydın, Efe Mert Ãırpar, Elvin Abdinli +2
Recent advances in foundational Vision Language Models (VLMs) have reshaped the evaluation paradigm in computer vision tasks. These foundational models, especially CLIP, have accel…