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README.md

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# [StickerDA (ECCV22)](https://arxiv.org)
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# [Concurrent Subsidiary Supervision for Source-Free DA (ECCV22)](https://sites.google.com/view/sticker-sfda)
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Code for our **ECCV** 2022 paper 'Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation'.
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[[website]](https://sites.google.com/) [[paper]](https://arxiv.org) [[video]](https://www.youtube.com/watch?v=ENJMz-Eg87k)
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## Dataset preparing
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[[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)
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## Dataset preparation
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Download the [Office-Home](https://www.hemanthdv.org/officeHomeDataset.html) (use our provided image list files) dataset. Put the dataset in data folder
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## Office-Home
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## Office-Home experiments
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Code for Single Source Domain Adaptation (SSDA) is in the 'SSDA_OH' folder.
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> sh SSDA_OH/run.sh
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```
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sh SSDA_OH/run.sh
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```
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Code for Multi Source Domain Adaptation (SSDA) is in the 'MSDA_OH' folder.
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> sh MSDA_OH/run.sh
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```
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sh MSDA_OH/run.sh
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```
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## Pre-trained checkpoints (coming soon)

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