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most citedFine-grain Inference on Out-of-Distribution Data with Hierarchical Classification

3 citations · 4 across the 7 of their papers we have counts for

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cs.CV2023

SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection

Jingyang Zhang, Nathan Inkawhich, Randolph Linderman +3

Building up reliable Out-of-Distribution (OOD) detectors is challenging, often requiring the use of OOD data during training. In this work, we develop a data-driven approach which…