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  • title: Impact of realistic properties of the point spread function on classification tasks to reveal a possible distribution shift
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            Impact of realistic properties of the point spread function on classification tasks to reveal a possible distribution shift
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            Impact of realistic properties of the point spread function on classification tasks to reveal a possible distribution shift

            Dec 2, 2022

            Speakers

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            Patrick Müller

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            Alexander Braun

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            Margret Keuper

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            About

            Image classification is a long-standing task in computer vision with deep neuralnetworks (DNN) producing excellent results on various challenges. However, theyare required not only to perform highly accurate on benchmarks such as ImageNet,but also to robustly handle images in adverse conditions, such as modified lighting, sharpness, weather conditions and image compression. Various benchmarksaimed to measure robustness show that neural networks perform differently wellunder distribution shifts.…

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            NeurIPS 2022

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