Bag of Tricks for Image Classification with Convolutional Neural Networks

CVPR 2019 Tong HeZhi ZhangHang ZhangZhongyue ZhangJunyuan XieMu Li

Much of the recent progress made in image classification research can be credited to training procedure refinements, such as changes in data augmentations and optimization methods. In the literature, however, most refinements are either briefly mentioned as implementation details or only visible in source code... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Image Classification ImageNet ResNet-50-D Top 1 Accuracy 77.16% # 46
Image Classification ImageNet ResNet-50-D Top 5 Accuracy 93.52% # 39
Image Classification ImageNet ResNet-50-D Number of params 25M # 1