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VOneNet with blur training. (A) Low-pass filtered object image recognition. (B) band-pass filtered object image recognition, (C) jumbled/occluded image recognition, and (D) shape-texture-cue-conflict image recognition. Although VOneNet has fixed V1-like first-stage mechanisms, the effects of blur training are similar to those of AlexNet. Error bars represent 95% confidence intervals estimated from the performances of eight models trained with different random seeds.
