1 citations · 1 across the 4 of their papers we have counts for
4 papers
How to Achieve Prototypical Birth and Death for OOD Detection?
Ningkang Peng, Qianfeng Yu, Xiaoqian Peng +7
Out-of-Distribution (OOD) detection is crucial for the secure deployment of machine learning models, and prototype-based learning methods are among the mainstream strategies for ac…
Halt the Hallucination: Decoupling Signal and Semantic OOD Detection Based on Cascaded Early Rejection
Ningkang Peng, Chuanjie Cheng, Jingyang Mao +7
Efficient and robust Out-of-Distribution (OOD) detection is paramount for safety-critical applications.However, existing methods still execute full-scale inference on low-level sta…
DFEN: Dual Feature Equalization Network for Medical Image Segmentation
Jianjian Yin, Yi Chen, Chengyu Li +3
Current methods for medical image segmentation primarily focus on extracting contextual feature information from the perspective of the whole image. While these methods have shown…
Uncertainty-Participation Context Consistency Learning for Semi-supervised Semantic Segmentation
Jianjian Yin, Yi Chen, Zhichao Zheng +2
Semi-supervised semantic segmentation has attracted considerable attention for its ability to mitigate the reliance on extensive labeled data. However, existing consistency regular…