OCO mitigates simplicity bias in OOD detection by predicting disentangled representations, dividing patterns into three co-occurrence scenarios from ID data, and applying divide-and-conquer detection.
Open-set recognition: A good closed-set classifier is all you need
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Divide and Conquer: Object Co-occurrence Helps Mitigate Simplicity Bias in OOD Detection
OCO mitigates simplicity bias in OOD detection by predicting disentangled representations, dividing patterns into three co-occurrence scenarios from ID data, and applying divide-and-conquer detection.