1 code implementation • 19 Apr 2024 • Xiao-Yin Liu, Guotao Li, Xiao-Hu Zhou, Xu Liang, Zeng-Guang Hou
The developed multi-source UDA theory is theoretical and the generalization error on target subject is guaranteed.
Intent Detection Multi-Source Unsupervised Domain Adaptation +1
no code implementations • 22 Jan 2024 • De-Xing Huang, Xiao-Hu Zhou, Xiao-Liang Xie, Shi-Qi Liu, Zhen-Qiu Feng, Mei-Jiang Gui, Hao Li, Tian-Yu Xiang, Xiu-Ling Liu, Zeng-Guang Hou
2. 5D-based segmentation models bridge computational efficiency of 2D-based models and spatial perception capabilities of 3D-based models.
1 code implementation • 7 Dec 2023 • Xiao-Yin Liu, Xiao-Hu Zhou, Guotao Li, Hao Li, Mei-Jiang Gui, Tian-Yu Xiang, De-Xing Huang, Zeng-Guang Hou
This method trades off performance and robustness via introducing the robust Bellman operator into the algorithm.
1 code implementation • 26 Oct 2023 • Hao Li, Xiao-Hu Zhou, Xiao-Liang Xie, Shi-Qi Liu, Zhen-Qiu Feng, Xiao-Yin Liu, Mei-Jiang Gui, Tian-Yu Xiang, De-Xing Huang, Bo-Xian Yao, Zeng-Guang Hou
Offline reinforcement learning (RL) aims to optimize policy using collected data without online interactions.
no code implementations • 16 Sep 2023 • Xiao-Yin Liu, Xiao-Hu Zhou, Xiao-Liang Xie, Shi-Qi Liu, Zhen-Qiu Feng, Hao Li, Mei-Jiang Gui, Tian-Yu Xiang, De-Xing Huang, Zeng-Guang Hou
However, uncertainty estimation is unreliable and leads to poor performance in certain scenarios, and the previous methods ignore differences between the model data, which brings great conservatism.
no code implementations • 20 Jan 2020 • Zhen-Liang Ni, Gui-Bin Bian, Guan-An Wang, Xiao-Hu Zhou, Zeng-Guang Hou, Xiao-Liang Xie, Zhen Li, Yu-Han Wang
For the scale variation, our adaptive receptive field module aggregates multi-scale features and automatically fuses them with different weights.
1 code implementation • 24 Oct 2019 • Zhen-Liang Ni, Gui-Bin Bian, Zeng-Guang Hou, Xiao-Hu Zhou, Xiao-Liang Xie, Zhen Li
LWANet adopts encoder-decoder architecture, where the encoder is the lightweight network MobileNetV2, and the decoder consists of depthwise separable convolution, attention fusion block, and transposed convolution.
1 code implementation • 23 Sep 2019 • Zhen-Liang Ni, Gui-Bin Bian, Xiao-Hu Zhou, Zeng-Guang Hou, Xiao-Liang Xie, Chen Wang, Yan-Jie Zhou, Rui-Qi Li, Zhen Li
To the best of our knowledge, this is the first cataract surgical instrument dataset for semantic segmentation.
1 code implementation • 21 May 2019 • Zhen-Liang Ni, Gui-Bin Bian, Xiao-Liang Xie, Zeng-Guang Hou, Xiao-Hu Zhou, Yan-Jie Zhou
The dataset from the MICCAI EndoVis Challenge 2017 is used to evaluate our network.