2 papers
cs.CV2026
Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders
Boqiang Zhang, Lei Ke, Ruihan Yang +5
Vision Language Model (VLM) development has largely relied on scaling model size, which hinders deployment on compute-constrained mobile and edge devices such as smartphones and ro…
cs.CV2026
Shifting Adaptation from Weight Space to Memory Space: A Memory-Augmented Agent for Medical Image Segmentation
Bowen Chen, Qiaohui Gao, Shaowen Wan +5
Medical image segmentation is fundamental to clinical workflows, yet models trained on a single dataset often fail to generalize across institutions, scanners, or patient populatio…