5 citations · 8 across the 4 of their papers we have counts for
4 papers
HQG-Net: Unpaired Medical Image Enhancement with High-Quality Guidance
Chunming He, Kai Li, Guoxia Xu +5
Unpaired Medical Image Enhancement (UMIE) aims to transform a low-quality (LQ) medical image into a high-quality (HQ) one without relying on paired images for training. While most…
Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification
ChengHui Yu, MingKang Tang, ShengGe Yang +7
Deep learning-based melanoma classification with dermoscopic images has recently shown great potential in automatic early-stage melanoma diagnosis. However, limited by the signific…
Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients
Jiafei Lyu, Yu Yang, Jiangpeng Yan +1
It is vital to accurately estimate the value function in Deep Reinforcement Learning (DRL) such that the agent could execute proper actions instead of suboptimal ones. However, exi…
Implicit Feature Refinement for Instance Segmentation
Lufan Ma, Tiancai Wang, Bin Dong +3
We propose a novel implicit feature refinement module for high-quality instance segmentation. Existing image/video instance segmentation methods rely on explicitly stacked convolut…