RIVAL10 Dataset

RIch Visual Attributes with Localization

26k Images over 10 classes ♦ 18 Visual Attributes Per Image ♦ Attribute and Object Segmentations

Classes

Attributes


Analysis

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Examples of highly accurate models showing greater sensitivity to backgrounds than foregrounds.

The Woods
Cinque Terre
Mountains and fjords
Northern Lights
Nature and sunrise
Snowy Mountains
Snowy Mountains


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Spurious features discovered by finding misalignments of saliencies with RIVAL10 object masks.

The Woods
Cinque Terre
Mountains and fjords
Northern Lights

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Citation

Please cite our CVPR paper if RIVAL10 is of use to you.


@inproceedings{moayeri2022comprehensive,
    title     = {A Comprehensive Study of Image Classification Model Sensitivity to
                 Foregrounds, Backgrounds, and Visual Attributes},
    author    = {Moayeri, Mazda and Pope, Phillip and Balaji, Yogesh and Feizi, Soheil},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
    month     = {June},
    year      = {2022},
    }

Contact


Please feel free to contact us for any questions or comments regarding either our paper or the dataset. Our emails are found in the paper PDF.