Abstract: Highlights•An adaptor network for gallery specialization toward open-set face recognition.•Several cost functions are employed in training the adapter network.•Combination of margin-based softmax and entropic open-set for compact features.•Experiments are run on three open-set recognition benchmarks: LFW, UCCS and IJB-C.
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