Web: http://arxiv.org/abs/2201.10972

Jan. 27, 2022, 2:10 a.m. | Mehmet Kerim Yucel, Ramazan Gokberk Cinbis, Pinar Duygulu

cs.CV updates on arXiv.org arxiv.org

Data shift robustness is an active research topic, however, it has been
primarily investigated from a fully supervised perspective, and robustness of
zero-shot learning (ZSL) models have been largely neglected. In this paper, we
present a novel analysis on the robustness of discriminative ZSL to image
corruptions. We leverage the well-known label embedding model and subject it to
a large set of common corruptions and defenses. In order to realize the
corruption analysis, we curate and release the first ZSL …

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