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Merge pull request #4 from Jiahao000/patch-1 

Patch 1
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Xiaohang Zhan 2020-06-18 00:38:25 +08:00 committed by GitHub
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README.md
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@ -24,7 +24,7 @@ Below is the relations among Unsupervised Learning, Self-Supervised Learning and
| [Rotation-Pred](https://arxiv.org/abs/1803.07728) | ✓ |
| [DeepCluster](https://arxiv.org/abs/1807.05520) | ✓ |
| [ODC](http://openaccess.thecvf.com/content_CVPR_2020/papers/Zhan_Online_Deep_Clustering_for_Unsupervised_Representation_Learning_CVPR_2020_paper.pdf) | ✓ |
| [NIPD](https://arxiv.org/abs/1805.01978) | ✓ |
| [NPID](https://arxiv.org/abs/1805.01978) | ✓ |
| [MoCo](https://arxiv.org/abs/1911.05722) | ✓ |
| [MoCo v2](https://arxiv.org/abs/2003.04297) | ✓ |
| [SimCLR](https://arxiv.org/abs/2002.05709) | ✓ |

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docs/INSTALL.md
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@ -78,7 +78,7 @@ bash tools/prepare_data/prepare_voc07_cls.sh $YOUR_DATA_ROOT
#### Prepare ImageNet and Places205
Taking ImageNet for example,y ou need to 1) download ImageNet; 2) create list files under $IAMGENET/meta/, `train.txt` contains an image file name in each line, `train_labeled.txt` contains `filename[space]label\n` in each line; `train_labeled_*percent.txt` are for semi-supervised evaluation, and can be downloaded [here](https://drive.google.com/drive/folders/1wYkJU_1qRHEt1LPVjBiG6ddUFV-t9hVJ?usp=sharing). 3) create a symlink under `$OPENSELFSUP/data/`.
Taking ImageNet for example, you need to 1) download ImageNet; 2) create list files under $IMAGENET/meta/, `train.txt` contains an image file name in each line, `train_labeled.txt` contains `filename[space]label\n` in each line; `train_labeled_*percent.txt` are for semi-supervised evaluation, and can be downloaded [here](https://drive.google.com/drive/folders/1wYkJU_1qRHEt1LPVjBiG6ddUFV-t9hVJ?usp=sharing). 3) create a symlink under `$OPENSELFSUP/data/`.
At last, the folder looks like: