91 citations
- Fuzhou UniversityCN3 papers
- Minjiang UniversityCN3 papers
- South China University of TechnologyCN3 papers
- Harbin Institute of TechnologyCN2 papers
- Nanjing UniversityCN2 papers
- Tsinghua UniversityCN2 papers
- University of Science and Technology of ChinaCN2 papers
- University of South ChinaCN2 papers
- A. Alikhanyan National LaboratoryAM1 paper
- Beihang UniversityCN1 paper
- Beijing Academy of Artificial IntelligenceCN1 paper
- Beijing Institute of TechnologyCN1 paper
6 papers · 1 filter
BiPC: Bidirectional Probability Calibration for Unsupervised Domain Adaption
Wenlve Zhou, Zhiheng Zhou, Junyuan Shang +4
Unsupervised Domain Adaptation (UDA) leverages a labeled source domain to solve tasks in an unlabeled target domain. While Transformer-based methods have shown promise in UDA, thei…
Weakly Contrastive Learning via Batch Instance Discrimination and Feature Clustering for Small Sample SAR ATR
Yikui Zhai, Wenlve Zhou, Bing Sun +8
In recent years, impressive performance of deep learning technology has been recognized in Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR). Since a large amount o…
Disentangling Multi-view Representations Beyond Inductive Bias
Guanzhou Ke, Yang Yu, Guoqing Chao +3
Multi-view (or -modality) representation learning aims to understand the relationships between different view representations. Existing methods disentangle multi-view representatio…
Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment
Tao Wang, Zhongzheng Huang, Jiawei Wu +2
Medical image segmentation has made significant progress when a large amount of labeled data are available. However, annotating medical image segmentation datasets is expensive due…
Spatio-Temporal Context Modeling for Road Obstacle Detection
Xiuen Wu, Tao Wang, Lingyu Liang +2
Road obstacle detection is an important problem for vehicle driving safety. In this paper, we aim to obtain robust road obstacle detection based on spatio-temporal context modeling…
A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic Images
Zhongzheng Huang, Tao Wang, Yuanzheng Cai +1
The automatic detection of skin diseases via dermoscopic images can improve the efficiency in diagnosis and help doctors make more accurate judgments. However, conventional skin di…