Web: http://arxiv.org/abs/2201.10766

Jan. 27, 2022, 2:10 a.m. | Mazda Moayeri, Phillip Pope, Yogesh Balaji, Soheil Feizi

cs.CV updates on arXiv.org arxiv.org

While datasets with single-label supervision have propelled rapid advances in
image classification, additional annotations are necessary in order to
quantitatively assess how models make predictions. To this end, for a subset of
ImageNet samples, we collect segmentation masks for the entire object and $18$
informative attributes. We call this dataset RIVAL10 (RIch Visual Attributes
with Localization), consisting of roughly $26k$ instances over $10$ classes.
Using RIVAL10, we evaluate the sensitivity of a broad set of models to noise
corruptions in …

arxiv classification cv model study

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