2 papers
cs.CV2025
Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection
Yingsheng Wang, Shuo Lu, Jian Liang +2
Out-of-distribution (OOD) detection helps models identify data outside the training categories, crucial for security applications. While feature-based post-hoc methods address this…
cs.LG2025
Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances
Shuo Lu, Yingsheng Wang, Lijun Sheng +3
Out-of-distribution (OOD) detection aims to detect test samples outside the training category space, which is an essential component in building reliable machine learning systems.…