Splits corresponding to meta-training, meta-validation, and meta-testing are
placed in
data/miniImagenet/
. Download corresponding imagenet images and
place in folder called
images
and place folder in
data/miniImagenet/
.
th train/run-train.lua --task [1-shot or 5-shot task] --data config.imagenet --model [model name]
For example, to run matching-nets:
th train/run-train.lua --task config.5-shot-5-class --data config.imagenet --model config.baselines.train-matching-net
And, to run LSTM meta-learner for 5-shot task:
th train/run-train.lua --task config.5-shot-5-class --data config.imagenet --model config.lstm.train-imagenet-5shot
For questions about miniImagenet format, please contact Sachin Ravi at email given in the paper.
