2 papers
cs.CV2025
Local Background Features Matter in Out-of-Distribution Detection
Jinlun Ye, Zhuohao Sun, Yiqiao Qiu +3
Out-of-distribution (OOD) detection is crucial when deploying deep neural networks in the real world to ensure the reliability and safety of their applications. One main challenge…
cs.CV2023
Classifier-head Informed Feature Masking and Prototype-based Logit Smoothing for Out-of-Distribution Detection
Zhuohao Sun, Yiqiao Qiu, Zhijun Tan +2
Out-of-distribution (OOD) detection is essential when deploying neural networks in the real world. One main challenge is that neural networks often make overconfident predictions o…