2 citations · 3 across the 3 of their papers we have counts for
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cs.CV2021★ 2 cited
Using Synthetic Corruptions to Measure Robustness to Natural Distribution Shifts
Alfred Laugros, Alice Caplier, Matthieu Ospici
Synthetic corruptions gathered into a benchmark are frequently used to measure neural network robustness to distribution shifts. However, robustness to synthetic corruption benchma…
cs.LG2021
Using the Overlapping Score to Improve Corruption Benchmarks
Alfred Laugros, Alice Caplier, Matthieu Ospici
Neural Networks are sensitive to various corruptions that usually occur in real-world applications such as blurs, noises, low-lighting conditions, etc. To estimate the robustness o…