JunrQ/pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

Pytorch-cifar100

This repo reuses the code pytorch-cifar100 to train tiny-imagenet model. Some models are modified to fix tiny-imagenet input shape 64x64. Please check the commit.

Result

	Acc
mobilenet v2	0.4826
resnet50	0.6621
inception v2
inception v3	0.6499
seresnet50	0.6564
resnext50	0.6485
efficientnet	0.5734
densenet121	0.6485

Pretrained model

https://drive.google.com/drive/folders/1JeCQdMj1-mAXnZ4lNLunKCGEPAhxFyPF?usp=sharing