AGVBench benchmarks 30 augmentation strategies for vein recognition and finds mixing methods improve accuracy but harm calibration and adversarial robustness.
Data augmen- tation using random image cropping and patching for deep cnns.IEEE Transactions on Circuits and Systems for Video Technology, 30(9):2917– 2931, 2019
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AGVBench: A Reliability-Oriented Benchmark of Data Augmentation for Vein Recognition
AGVBench benchmarks 30 augmentation strategies for vein recognition and finds mixing methods improve accuracy but harm calibration and adversarial robustness.