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README.md

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@@ -70,13 +70,13 @@ P.S. Please clone the repository with the `--recursive` flag:
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### CUB-200-2011 with Descriptions
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#### Feature Extraction
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1. Run the script `./download_cub.sh` to download the images in CUB-200-2011.
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2. Please modify the input/output path in `data-prepro/MSCOCO_preprocess/extract_resnet_coco.py` to extract and pack features in CUB-200-2011.
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2. Please modify the input/output path in `data-prepro/MSCOCO_preprocess/extract_resnet_cub.py` to extract and pack features in CUB-200-2011.
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#### Captions Tokenization
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1. Download the [description data](https://drive.google.com/open?id=0B0ywwgffWnLLZW9uVHNjb2JmNlE).
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2. Run `python get_split.py` to generate dataset split following the ECCV16 paper "Generating Visual Explanations".
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3. Run `python prepro_cub_annotation.py` to generate annotation json file for testing.
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4. Run `python CUB_preprocess_token.py` for tokenization.
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4. Run `python CUB_preprocess_token.py [train/val/test]` for tokenization.
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## Models from the paper

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