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Multi-Level Correlation Network For Few-Shot Image Classification
Yunkai Dang, Min Zhang, Zhengyu Chen +4
Few-shot image classification(FSIC) aims to recognize novel classes given few labeled images from base classes. Recent works have achieved promising classification performance, esp…
Beyond Domain Gap: Exploiting Subjectivity in Sketch-Based Person Retrieval
Kejun Lin, Zhixiang Wang, Zheng Wang +2
Person re-identification (re-ID) requires densely distributed cameras. In practice, the person of interest may not be captured by cameras and, therefore, needs to be retrieved usin…
A Survey of Diffusion Based Image Generation Models: Issues and Their Solutions
Tianyi Zhang, Zheng Wang, Jing Huang +2
Recently, there has been significant progress in the development of large models. Following the success of ChatGPT, numerous language models have been introduced, demonstrating rem…
Prototypical Cross-domain Knowledge Transfer for Cervical Dysplasia Visual Inspection
Yichen Zhang, Yifang Yin, Ying Zhang +3
Early detection of dysplasia of the cervix is critical for cervical cancer treatment. However, automatic cervical dysplasia diagnosis via visual inspection, which is more appropria…
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling
Zhuoxiao Chen, Yadan Luo, Zheng Wang +2
Unsupervised domain adaptation (DA) with the aid of pseudo labeling techniques has emerged as a crucial approach for domain-adaptive 3D object detection. While effective, existing…
DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd Counting
Huilin Zhu, Jingling Yuan, Xian Zhong +3
Domain adaptation is commonly employed in crowd counting to bridge the domain gaps between different datasets. However, existing domain adaptation methods tend to focus on inter-da…