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akshaykulkarni07 authored Jul 20, 2022
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# [StickerDA (ECCV22)](https://arxiv.org)
# [Concurrent Subsidiary Supervision for Source-Free DA (ECCV22)](https://sites.google.com/view/sticker-sfda)

Code for our **ECCV** 2022 paper 'Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation'.
[[website]](https://sites.google.com/) [[paper]](https://arxiv.org) [[video]](https://www.youtube.com/watch?v=ENJMz-Eg87k)

## Dataset preparing
[[Project Page]](https://sites.google.com/view/sticker-sfda) [[Paper (coming soon)]](https://val.cds.iisc.ac.in/) [[Video]](https://www.youtube.com/watch?v=ENJMz-Eg87k)

## Dataset preparation

Download the [Office-Home](https://www.hemanthdv.org/officeHomeDataset.html) (use our provided image list files) dataset. Put the dataset in data folder

## Office-Home
## Office-Home experiments
Code for Single Source Domain Adaptation (SSDA) is in the 'SSDA_OH' folder.

> sh SSDA_OH/run.sh
```
sh SSDA_OH/run.sh
```

Code for Multi Source Domain Adaptation (SSDA) is in the 'MSDA_OH' folder.

> sh MSDA_OH/run.sh
```
sh MSDA_OH/run.sh
```

## Pre-trained checkpoints (coming soon)

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