Learning to Compare: Relation Network for Few-Shot Learning

Pytorch Implementation for Paper: Learning to Compare: Relation Network for Few-Shot Learning

download mini-imagenet and make it looks like:

mini-imagenet/
├── images
	├── n0210891500001298.jpg  
	├── n0287152500001298.jpg 
	...
├── test.csv
├── val.csv
└── train.csv

LearningToCompare-Pytorch/
├── compare.py
├── MiniImagenet.py
├── Readme.md
├── repnet.py
├── train.py
└── utils.py

python train.py

current code support multi-gpus on single machine training, to disable it and train on single machine,
just set device_ids=[0] and downsize batch size according to your gpu memory capacity.
make sure ckpt directory exists, otherwise mkdir ckpt.

To finish reading, please visit source site