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README.md
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# Adapt Before Comparision
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## Preparing Data
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Because we follow PATNet and RtD, please refer to their work for prepration of the following datasets:
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- Deepglobe (PAT)
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- ISIC (PAT)
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- Chest X-Ray (Lung) (PAT)
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for example
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`python main.py --benchmark deepglobe --datapath ./datasets/deepglobe/ --nshot 1`
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Available `benchmark` strings: deepglobe,isic,lung,fss,suim
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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 runner.makeConfig.
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# Adapt Before Comparision: A New Perspective on Cross-Domain Few-Shot Segmentation
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[[`Paper`](https://example.com)]
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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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- Deepglobe (PAT)
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- ISIC (PAT)
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- Chest X-Ray (Lung) (PAT)
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for example
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`python main.py --benchmark deepglobe --datapath ./datasets/deepglobe/ --nshot 1`
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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 runner.makeConfig.
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## Await it
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You can experiment with this code. Before opening issues, I suggest awaiting nicer demonstrations and documentation to be added.
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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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