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jihanyang committed Nov 6, 2018
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We use ImageCLEF-DA, VisDA2017, Office-31 and Office-Home in our experiments.



## ImageCLEF-DA

We use ImageCLEF-DA published [here](https://github.com/thuml/Xlearn/tree/master/caffe), and replace the absolute path in `*List.txt` to relative path.

```
Please reorganize the images and label lists as following directory tree.

```latex
.
|-- b
|-- bList.txt
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`-- pList.txt
```

## Office-31

You can download the origin image [here](https://people.eecs.berkeley.edu/~jhoffman/domainadapt/). Our label files are replaced the absolute path [here](https://github.com/thuml/PADA/tree/master/pytorch/data/office) to relative path.

## Office-31
Please reorganize the images and label lists as following directory tree.

```
```latex
.
|-- amazon
| |-- images
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`-- label.txt
```

## Office-Home

You can download the origin image [here](http://hemanthdv.org/OfficeHome-Dataset/). Our label files are replaced the absolute path [here](https://github.com/thuml/PADA/tree/master/pytorch/data/office-home) to relative path.

## Office-Home
Please reorganize the images and label lists as following directory tree.

```
```latex
.
|-- Art
|-- Art_shared.txt
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`-- Real_World.txt
```



## VisDA2017

```
You can download this dataset [here](https://github.com/VisionLearningGroup/taskcv-2017-public/tree/master/classification). We also announce the `validation6_list.txt` under the partial setting and label lists used in *sample size* experiment.

```latex
.
|-- train
|-- train6_list.txt
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