Run python ./train.py --dataset [DATASETNAME] --model [BACKBONENAME] --method [METHODNAME] [--OPTIONARG]

For example, run python ./train.py --dataset Smear --model Conv4 --method tra_maml --tra 1-5-0.4 --train_n_way 3 --test_n_way 3 --n_shot 1 --stop_epoch 200 --train_aug
Commands below follow this example, and please refer to io_utils.py for additional options.

Save the extracted feature before the classifaction layer to increase test speed. This is not applicable to MAML-based methods, but are required for other methods. Run python ./save_features.py --dataset Smear --model Conv4 --method relationnet --train_n_way 3 --n_shot 5 --test_n_way 3 --train_aug

Run python ./test.py --dataset Smear --model Conv4 --method tra_maml --tra 1-5-0.4 --train_n_way 3 --test_n_way 3 --n_shot 1 --train_aug

• The test results will be recorded in ./record/results.txt

• Main Framework https://github.com/wyharveychen/CloserLookFewShot
• Framework, Backbone, Method: Matching Network https://github.com/facebookresearch/low-shot-shrink-hallucinate
• Omniglot dataset, Method: Prototypical Network https://github.com/jakesnell/prototypical-networks
• Method: Relational Network https://github.com/floodsung/LearningToCompare_FSL
• Method: MAML https://github.com/cbfinn/maml
  https://github.com/dragen1860/MAML-Pytorch
  https://github.com/katerakelly/pytorch-maml