23 citations · 59 across the 7 of their papers we have counts for
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cs.CV2020★ 8 cited
w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution
Bo Wang, Lei Wang, Junyang Chen +3
Deep learning-based medical image segmentation technology aims at automatic recognizing and annotating objects on the medical image. Non-local attention and feature learning by mul…
cs.CV2020★ 7 cited
Joint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network
Cong Wang, Yutong Wu, Zhixun Su +1
In the field of multimedia, single image deraining is a basic pre-processing work, which can greatly improve the visual effect of subsequent high-level tasks in rainy conditions. I…
cs.CV2020
DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal
Cong Wang, Xiaoying Xing, Zhixun Su +1
Rain removal is an important but challenging computer vision task as rain streaks can severely degrade the visibility of images that may make other visions or multimedia tasks fail…