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cs.CV2026
EA-LiteUNet: An Edge-Adaptive and Resource-Efficient U-Net for Boundary-Sensitive Dermoscopic Image Segmentation
Wang Jiangtao, Nur Intan Raihana Ruhaiyem, Fu Panpan +2
Accurate boundary delineation remains a persistent challenge in dermoscopic image segmentation because of blurred lesion margins, heterogeneous textures, and complex background art…
cs.CV2023
OpenNet: Incremental Learning for Autonomous Driving Object Detection with Balanced Loss
Zezhou Wang, Guitao Cao, Xidong Xi +1
Automated driving object detection has always been a challenging task in computer vision due to environmental uncertainties. These uncertainties include significant differences in…