IEEE transactions on pattern analysis and machine intelligence
OoDBench+: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization.
Nanyang Ye, Kaican Li, Fan Wu, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu, Xinbing Wang, Chenghu Zhou
Published: 202510.1109/TPAMI.2025.3628027
Abstract
Deep learning has demonstrated remarkable generalization capability with independent and identically distributed (i.i.d.) training and test data, however, it often struggles with data drawn from different, albeit causally related, distributions. This…
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