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Keyword: CutMix ×Clear all

3 claims from 2 papers

1. Computer Science › Advanced Neural Network Applications

   CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

   Yun, Han, Oh, Chun, Choe and Yoo · arXiv (Cornell University) · 2019

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   1. UncheckedA CutMix-trained ImageNet classifier, used as a pretrained model, gave consistent gains in Pascal detection and MS-COCO captioning, unlike earlier augmentation methods.“Moreover, unlike previous augmentation methods, our CutMix-trained ImageNet classifier, when used as a pretrained model, results in consistent performance gains in Pascal detection and MS-COCO image captioning benchmarks.”
   2. UncheckedThe authors report that CutMix, a training method for image classifiers, makes models more robust to corrupted inputs and better at detecting out-of-distribution inputs.“We also show that CutMix improves the model robustness against input corruptions and its out-of-distribution detection performances.”

2. Computer Science › Advanced Neural Network Applications

   MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks

   Ramé, Sun and Cord · HAL (Le Centre pour la Communication Scientifique Directe) · 2021

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   1. Unchecked“Our easy to implement models notably outperform data augmented deep ensembles, without the inference and memory overheads.”