Food101の分類
[x] データローダの作成
[x] EfficientNetの実装
[x] SupervisedContrastiveLearningの実装
[ ] SimSiamによる学習の実装
[ ] MADGRAD Optimizerの実装
Food101のデータセットのダウンロードと展開
./script/food101_dataset.sh
- PytorchでEfficientNetを実装してみる
- Exploring Simple Siamese Representation Learning
- SupContrast: Supervised Contrastive Learning
- MADGRAD Optimization method
@inproceedings{bossard14,
title = {Food-101 -- Mining Discriminative Components with Random Forests},
author = {Bossard, Lukas and Guillaumin, Matthieu and Van Gool, Luc},
booktitle = {European Conference on Computer Vision},
year = {2014}
}