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cs.CV2025
Improvise, Adapt, Overcome -- Telescopic Adapters for Efficient Fine-tuning of Vision Language Models in Medical Imaging
Ujjwal Mishra, Vinita Shukla, Praful Hambarde +1
Adapting Vision Language Segmentation Models (VLSMs) to medical imaging domains requires significant computational overhead when using conventional fine-tuning approaches. Existing…
cs.CV2025
Towards Blind and Low-Vision Accessibility of Lightweight VLMs and Custom LLM-Evals
Shruti Singh Baghel, Yash Pratap Singh Rathore, Sushovan Jena +4
Large Vision-Language Models (VLMs) excel at understanding and generating video descriptions but their high memory, computation, and deployment demands hinder practical use particu…