whcao 1cde6f6e65
[Feature] Add cutmix option (#198)
* Add cutmix option

* fix code style

* add some annotations

* add annotation about custom_hooks

* check constraint of alpha > 0

* add test cutmix

* fix code style

* add cutmix to configs/models

* add cutmix to configs/resnet

* flake8

* empty
2021-04-14 21:27:42 +08:00
..
2021-04-13 20:15:29 +08:00

Deep Residual Learning for Image Recognition

Introduction

[ALGORITHM]

@inproceedings{he2016deep,
  title={Deep residual learning for image recognition},
  author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={770--778},
  year={2016}
}

Results and models

Cifar10

Model Params(M) Flops(G) Top-1 (%) Top-5 (%) Config Download
ResNet-18-b16x8 11.17 0.56 94.72 config model | log
ResNet-34-b16x8 21.28 1.16 95.34 config model | log
ResNet-50-b16x8 23.52 1.31 95.36 config model | log
ResNet-101-b16x8 42.51 2.52 95.66 config model | log
ResNet-152-b16x8 58.16 3.74 95.96 config model | log

Cifar100

Model Params(M) Flops(G) Top-1 (%) Top-5 (%) Config Download
ResNet-50-b16x8 23.71 1.31 80.51 95.27 config model | log

ImageNet

Model Params(M) Flops(G) Top-1 (%) Top-5 (%) Config Download
ResNet-18 11.69 1.82 70.07 89.44 config model | log
ResNet-34 21.8 3.68 73.85 91.53 config model | log
ResNet-50 25.56 4.12 76.55 93.15 config model | log
ResNet-101 44.55 7.85 78.18 94.03 config model | log
ResNet-152 60.19 11.58 78.63 94.16 config model | log
ResNetV1D-50 25.58 4.36 77.4 93.66 config model | log
ResNetV1D-101 44.57 8.09 78.85 94.38 config model | log
ResNetV1D-152 60.21 11.82 79.35 94.61 config model | log