Training quantized models on low-frequency images plus frequency-aware batch normalization at test time improves both compression and domain-shift robustness.
Amplitude-phase recombina- tion: Rethinking robustness of convolutional neural networks in frequency domain
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Frequency Composition for Compressed and Domain-Adaptive Neural Networks
Training quantized models on low-frequency images plus frequency-aware batch normalization at test time improves both compression and domain-shift robustness.