activity
20222024
most citedA Survey of Deep Visual Cross-Domain Few-Shot Learning

5 citations · 13 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV20242 cited

Enhancing Sound Source Localization via False Negative Elimination

Zengjie Song, Jiangshe Zhang, Yuxi Wang +2

Sound source localization aims to localize objects emitting the sound in visual scenes. Recent works obtaining impressive results typically rely on contrastive learning. However, t…

cs.CV2024

Open Vocabulary 3D Scene Understanding via Geometry Guided Self-Distillation

Pengfei Wang, Yuxi Wang, Shuai Li +3

The scarcity of large-scale 3D-text paired data poses a great challenge on open vocabulary 3D scene understanding, and hence it is popular to leverage internet-scale 2D data and tr…

cs.CV20232 cited

Informative Data Mining for One-Shot Cross-Domain Semantic Segmentation

Yuxi Wang, Jian Liang, Jun Xiao +3

Contemporary domain adaptation offers a practical solution for achieving cross-domain transfer of semantic segmentation between labeled source data and unlabeled target data. These…

cs.CV20233 cited

DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation

Jingfan Chen, Yuxi Wang, Pengfei Wang +4

The Class Incremental Semantic Segmentation (CISS) extends the traditional segmentation task by incrementally learning newly added classes. Previous work has introduced generative…

cs.CV20235 cited

A Survey of Deep Visual Cross-Domain Few-Shot Learning

Wenjian Wang, Lijuan Duan, Yuxi Wang +3

Few-Shot transfer learning has become a major focus of research as it allows recognition of new classes with limited labeled data. While it is assumed that train and test data have…

cs.CL20221 cited

TexPrax: A Messaging Application for Ethical, Real-time Data Collection and Annotation

Lorenz Stangier, Ji-Ung Lee, Yuxi Wang +4

Collecting and annotating task-oriented dialog data is difficult, especially for highly specific domains that require expert knowledge. At the same time, informal communication cha…