Comments (1)
Hello, the reason why we report our baseline is exactly to offer a fair comparison. Regardless of any specific data split, both the baseline and the method run in the same conditions and thus we can observe the relative improvement brought by the self-supervised task.
Regarding your second point, did you run multiple splits? In these experiments there is always a lot of variability, and thus to get meaningful results you need to repeat the experiment multiple times and consider the average result.
The self-supervised task has a different impact depending on the dataset, but you should be able to see the difference.
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Related Issues (20)
- About requisite of this repository HOT 1
- About the performance on VLCS dataset HOT 4
- Hi, Could you give some details about the generation of permutations based on Hamming distance? HOT 1
- Paper Question HOT 1
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- Comparison on PACS and VLCS HOT 4
- Python Version HOT 1
- TypeError: alexnet() got an unexpected keyword argument 'jigsaw_classes' HOT 1
- Error with argparser HOT 3
- what is the meanin of patch_based? HOT 1
- Office home dataset HOT 4
- Why is the input data composed with 9 grid? HOT 2
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- Train on different datasets HOT 2
- The question about the classifier
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