Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed RecognitionDownload PDFOpen Website

2022 (modified: 02 Nov 2022)ICML 2022Readers: Everyone
Abstract: Existing out-of-distribution (OOD) detection methods are typically benchmarked on training sets with balanced class distributions. However, in real-world applications, it is common for the training...
0 Replies

Loading