1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 1 cited
Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection
Fan Lu, Kai Zhu, Kecheng Zheng +2
Full-spectrum out-of-distribution (F-OOD) detection aims to accurately recognize in-distribution (ID) samples while encountering semantic and covariate shifts simultaneously. Howev…
cs.CV2023
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
Fan Lu, Kai Zhu, Wei Zhai +2
Semantically coherent out-of-distribution (SCOOD) detection aims to discern outliers from the intended data distribution with access to unlabeled extra set. The coexistence of in-d…