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cs.CV2026
Reading Right, Answering Wrong: How Visual Configuration Changes Affect Evidence Use in VLMs
Dingyang Lin, Yingfeng Luo, Chenglong Wang +4
Vision-language models (VLMs) have achieved strong performance on tasks such as visual question answering, yet small image resizes can turn correct answers into errors. We investig…
cs.CV2025
Scale-Aware Curriculum Learning for Ddata-Efficient Lung Nodule Detection with YOLOv11
Yi Luo, Yike Guo, Hamed Hooshangnejad +1
Lung nodule detection in chest CT is crucial for early lung cancer diagnosis, yet existing deep learning approaches face challenges when deployed in clinical settings with limited…