Bag of Tricks for Image Classification with Convolutional Neural Networks

This repo was inspired by Paper Bag of Tricks for Image Classification with Convolutional Neural Networks

I would test popular training tricks as many as I can for improving image classification accuarcy, feel free to leave a comment about the tricks you want me to test(please write the referenced paper along with the tricks)

dataset

PA100K, reference [https://blog.csdn.net/Guo_Python/article/details/113541430]

network

Use a ResNest network as backbone, reference [https://blog.csdn.net/Guo_Python/article/details/105646838]

tricks

reference [https://blog.csdn.net/Guo_Python/article/details/113735260]

train

python train.py -net resnest50

test

pyhton predict.py