2 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
A Comprehensive Review of U-Net and Its Variants: Advances and Applications in Medical Image Segmentation
Wang Jiangtao, Nur Intan Raihana Ruhaiyem, Fu Panpan
Medical images often exhibit low and blurred contrast between lesions and surrounding tissues, with considerable variation in lesion edges and shapes even within the same disease,…
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…
ARC-Fi: Exploiting Antenna Spatial Diversity for Label-Efficient Domain Generalization in Wi-Fi Sensing
Ke Xu, Zhiyong Zheng, Hongyuan Zhu +2
Wi-Fi sensing systems are severely hindered by domain shifts when deployed in unseen real-world environments. While existing methods attempt to tackle this through Unsupervised Dom…