DADA-pytorch

For cifar10 ”DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification“

Related

Origin paper:https://arxiv.org/abs/1809.00981
Official Implementation(Theano): https://github.com/SchafferZhang/DADA

Requirement

python3.5
pytorch 1.1.0
cuda8.0
torchvision
Keras

Run

python3 train.py
Default Set:config.py

Results

Best Acc

Method	400	600	800	1000
DADA	63.0	67.6	71.2	73.3
DADA_augmented	69.9	74.1	76.0	79.8

Train process of Gen img in 200 epochs(DADA)

** one row represent one class (100 fixed noise)**

Notice

i remove weight_norm,because it cause bad performance,when i add weight_norm.