模型训练技巧——Random Erasing - 代码天地

模型训练技巧——Random Erasing

其他 2020-07-26 10:11:46 阅读次数: 0

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转载自blog.csdn.net/Guo_Python/article/details/105989946

模型训练技巧——Random Erasing

Random Erasing Data Augmentation

论文阅读之《Random Erasing Data Augmentation》

【论文阅读笔记】Random Erasing Data Augmentation

数据增强 - Cutout、Random Erasing、Mixup、Cutmix

垃圾分类、EfficientNet模型、数据增强(ImageDataGenerator)、混合训练Mixup、Random Erasing随机擦除、标签平滑正则化、tf.keras.Sequence

UVa 11491 Erasing and Winning

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Codeforces 1303A Erasing Zeroes

基于单样本数据增强方法—Max-drop，Cutout，Random Erasing，Mixup，CutMix，Hide-and-Seek，GridMask，FenceMask，KeepAugment

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【论文阅读】Batch Feature Erasing for Person Re-identification and Beyond

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self-supervised text erasing with controllable image synthesis

模型训练的技巧

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模型训练技巧——mixup

模型训练技巧——CutMix

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