CloserLookFewShot
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source code to ICLR'19, 'A Closer Look at Few-shot Classification'
When I checked the fine-tuning code of the Matching network on the novel dataset, I found that only the preliminary embedding (for example: backbone.Conv4) was called, and the FCE network...
in th code, though set np.seed, but the results different from each time. how to make it repeatable?
“_pickle.PicklingError: Can't pickle : attribute lookup on data.dataset failed” How can I modify?in pycharm
I was able to run train.py and save_features.py successfully, but encountered an issue when running test.py (using Python 3.10 and PyTorch 2.0). The error message is as follows: Traceback (most...
fid = int(fid[-5:])-1 fname = join( data_path,label, sorted_fnames[fid] ) fid is the last 5 numbers of the file, but sorted_fnames' length is 600. the id is may bigger than 600,...
In the paper, it seems you perform validation on novel classes for Baseline and Baseline++ too, as per the sentence " To reduce the risk of over-fitting, we use the...
Thanks for your share of code, when I ran code : """ python ./train.py --dataset miniImagenet --model Conv4 --method baseline --train_aug python ./save_features.py --dataset miniImagenet --model Conv4 --method baseline --train_aug...
The link of CUB dataset is no longer valid. The dataset was moved to [https://data.caltech.edu/records/20098]
Hello, when we run the described 5-way 5-shot experiment on Omniglot -> EMNIST in A3, the accuracy of the Baseline++ model (80%) is lower than the Baseline model's (85%). We...
Thanks for this amazing work @jbhuang0604 @ycliu93 @wyharveychen Currently, I'm trying to train on [FIGR-8 dataset](https://github.com/marcdemers/FIGR-8) using the models and methods available in this repo. Training using the baseline and...