Xinyue Huo

Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations

2020 · arXiv (Cornell University)

Contrastive learning has achieved great success in self-supervised visual representation learning, but existing approaches mostly ignored spatial information which is often crucial for visual representation. This paper presents heterogeneous contrastive learning (HCL), an effective approach …

Domain-Agnostic Prior for Transfer Semantic Segmentation

2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

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 domains so that the source-domain features can align …