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maximum classifier discrepancy

maximum classifier discrepancy

We propose to maximize the discrepancy between two classifiers’ outputs to detect target samples that are far from the support of the source. A feature generator learns to generate target features near the support to minimize the discrepancy. Our method is applicable …

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