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README.md
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# Adapt Before Comparision: A New Perspective on Cross-Domain Few-Shot Segmentation
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[[`Paper`](https://
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## Preparing Data
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Because we follow the evaluation procedure of PATNet and Remember the Difference (RtD), please refer to their work for prepration of the following datasets:
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Available `benchmark` strings: `deepglobe`,`isic`,`lung`,`fss`,`suim`. Easiest to prepare should be `lung` or `fss`.
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Default is quick-infer mode.
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To change this, set `config.featext.fit_every_episode
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You can change all other parameters likewise, check the available parameters in runner
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## Await it
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## Citing
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If you use ABCDFSS in your research, please use the following BibTeX entry.
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```
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# Adapt Before Comparision: A New Perspective on Cross-Domain Few-Shot Segmentation
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[[`Paper`](https://arxiv.org/abs/2402.17614)]
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## Preparing Data
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Because we follow the evaluation procedure of PATNet and Remember the Difference (RtD), please refer to their work for prepration of the following datasets:
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Available `benchmark` strings: `deepglobe`,`isic`,`lung`,`fss`,`suim`. Easiest to prepare should be `lung` or `fss`.
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Default is quick-infer mode.
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To change this, set `config.featext.fit_every_episode=True` in the main file.
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You can change all other parameters likewise, check the available parameters in `core/runner->makeConfig()`.
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## Await it
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## Citing
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If you use ABCDFSS in your research, please use the following BibTeX entry.
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```
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@article{herzog2024cdfss,
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title={Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot Segmentation},
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author={Jonas Herzog},
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journal={arXiv:2304.02643},
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year={2024}
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}
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```
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