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Report data leakage that causes unfair few-shot setting #36

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Ze-Yang opened this issue Feb 13, 2020 · 0 comments
Open

Report data leakage that causes unfair few-shot setting #36

Ze-Yang opened this issue Feb 13, 2020 · 0 comments

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@Ze-Yang
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Ze-Yang commented Feb 13, 2020

I think there exists a data leakage problem in your code, which severely hurts the fair comparison with other methods.

Take coco 10shot for example, you will first construct a meta-data set encomprising 30 (3x shots) (prn_image, prn_mask) pairs for each class. The image indexes of these sampled images are saved in a file named annotations/instances_shot2014.json.

After that, roidb needs to be contructed to provide query samples for finetuning purpose. According to the definition of few-shot setting, you can only access to the N-shot (N instances per class) data no matter whether you perform finetuning or not. Therefore, the roidb dataset should contain the same instances as in meta-data set, otherwise it will exceed the designated number of shots. However, as I find in your code, you does not save the anno_index of the selected instances in meta-data set. Instead, you again randomly sample the shot instances from the images list indicated in annotations/instances_shot2014.json. In this case, I am concern about how you guarantee that the newly sampled instances are exactly the same as the ones in meta-data set.

Hope that you can check about this issue and clarify my concern. Thanks a lot.

@Ze-Yang Ze-Yang changed the title How to ensure that the N-shot(object) meta data are exactly the same as the input(roidb) of the model Report data leakage that causes unfair few-shot setting Jan 6, 2021
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