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Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance
While Neural Networks (NNs) have surpassed human accuracy in image classification on ImageNet, they often lack robustness against image corruption, i. e., corruption robustness.
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components
In this paper, we address the need for defining machine-verifiable reliability requirements for MVCs against transformations that simulate the full range of realistic and safety-critical changes in the environment.
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