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cs.CV2021
CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue
Keke Tang, Dingruibo Miao, Weilong Peng +5
Overconfident predictions on out-of-distribution (OOD) samples is a thorny issue for deep neural networks. The key to resolve the OOD overconfidence issue inherently is to build a…
cs.CV2019
Decision Propagation Networks for Image Classification
Keke Tang, Peng Song, Yuexin Ma +4
High-level (e.g., semantic) features encoded in the latter layers of convolutional neural networks are extensively exploited for image classification, leaving low-level (e.g., colo…