June 5, 2024, 4:49 a.m. | Erdi Sar{\i}ta\c{s}, Haz{\i}m Kemal Ekenel

cs.CV updates on arXiv.org arxiv.org

arXiv:2406.02142v1 Announce Type: new
Abstract: A face recognition model is typically trained on large datasets of images that may be collected from controlled environments. This results in performance discrepancies when applied to real-world scenarios due to the domain gap between clean and in-the-wild images. Therefore, some researchers have investigated the robustness of these models by analyzing synthetic degradations. Yet, existing studies have mostly focused on single degradation factors, which may not fully capture the complexity of real-world degradations. This work …

arxiv cs.cv face face recognition recognition type

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