4 citations · 6 across the 4 of their papers we have counts for
4 papers
One-bit Supervision for Image Classification: Problem, Solution, and Beyond
Hengtong Hu, Lingxi Xie, Xinyue Hue +2
This paper presents one-bit supervision, a novel setting of learning with fewer labels, for image classification. Instead of training model using the accurate label of each sample,…
Domain-Agnostic Prior for Transfer Semantic Segmentation
Xinyue Huo, Lingxi Xie, Hengtong Hu +3
Unsupervised domain adaptation (UDA) is an important topic in the computer vision community. The key difficulty lies in defining a common property between the source and target dom…
Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations
Xinyue Huo, Lingxi Xie, Longhui Wei +6
Contrastive learning has achieved great success in self-supervised visual representation learning, but existing approaches mostly ignored spatial information which is often crucial…
ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Medical Image Segmentation
Xinyue Huo, Lingxi Xie, Jianzhong He +2
In medical image analysis, semi-supervised learning is an effective method to extract knowledge from a small amount of labeled data and a large amount of unlabeled data. This paper…