no code implementations • 30 Nov 2023 • Daoan Zhang, Yunhao Luo, JianGuo Zhang
We first figure out that the distribution gap between labeled and unlabeled datasets cannot be ignored, even though the two datasets are sampled from the same distribution.
no code implementations • 11 Oct 2023 • Xu Zheng, Yunhao Luo, Pengyuan Zhou, Lin Wang
Due to the completely different characteristics of ViT and CNN and the long-existing capacity gap between teacher and student models in Knowledge Distillation (KD), directly transferring the cross-model knowledge is non-trivial.
no code implementations • ICCV 2023 • Xu Zheng, Tianbo Pan, Yunhao Luo, Lin Wang
The aim is to tackle the domain gaps caused by the style disparities and distortion problem from the non-uniformly distributed pixels of equirectangular projection (ERP).
no code implementations • ICCV 2023 • Jinjing Zhu, Yunhao Luo, Xu Zheng, Hao Wang, Lin Wang
In this paper, we strive to answer the question "how to collaboratively learn convolutional neural network (CNN)-based and vision transformer (ViT)-based models by selecting and exchanging the reliable knowledge between them for semantic segmentation?"
1 code implementation • 28 Jun 2023 • Qingqiao Hu, Hao Wang, Jing Luo, Yunhao Luo, Zhiheng Zhangg, Jan S. Kirschke, Benedikt Wiestler, Bjoern Menze, JianGuo Zhang, Hongwei Bran Li
We introduce a novel Bayesian neural network-based architecture to estimate inter-rater uncertainty in medical image segmentation.
no code implementations • 6 Sep 2022 • Xu Zheng, Yunhao Luo, Chong Fu, Kangcheng Liu, Lin Wang
To this end, we propose class-aware feature consistency distillation (CFCD) that first leverages the outputs of each student as the pseudo labels and generates class-aware feature (CF) maps for knowledge transfer between the two students.
1 code implementation • 4 Jun 2022 • Yunfan Lu, Yiqi Lin, Hao Wu, Yunhao Luo, Xu Zheng, Hui Xiong, Lin Wang
Image restoration and enhancement is a process of improving the image quality by removing degradations, such as noise, blur, and resolution degradation.