A Benchmark for Anomaly Segmentation

25 Nov 2019Dan HendrycksSteven BasartMantas MazeikaMohammadreza MostajabiJacob SteinhardtDawn Song

Detecting out-of-distribution examples is important for safety-critical machine learning applications such as self-driving vehicles. However, existing research mainly focuses on small-scale images where the whole image is considered anomalous... (read more)

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