Survey of the robustness of computer vision models to image corruptions
Survey of the robustness of computer vision models to image corruptions
The Robustness of Computer Vision Models against Common Corruptions: a Survey
arXiv paper abstract https://arxiv.org/abs/2305.06024
arXiv PDF paper https://arxiv.org/pdf/2305.06024.pdf
… present a comprehensive and systematic overview of methods that improve corruption robustness of computer vision models.
… cover extensively the study of robustness to common corruptions that can occur when deploying computer vision models to work in practical applications.
… introduce relevant evaluation metrics and benchmark datasets.
… benchmark results … from the literature … are not evaluated in a unified manner, making it difficult to compare and analyze.
… thus built a unified benchmark framework to obtain directly comparable results on benchmark datasets.
… evaluate relevant backbone networks pre-trained on ImageNet using … framework, providing an overview of the base corruption robustness of existing models to help choose appropriate backbones for computer vision tasks.
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