Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mickisch, David"'
Autor:
Follath, Theresa, Mickisch, David, Hemmerling, Jan, Erasmi, Stefan, Schwieder, Marcel, Demir, Begüm
Using images acquired by different satellite sensors has shown to improve classification performance in the framework of crop mapping from satellite image time series (SITS). Existing state-of-the-art architectures use self-attention mechanisms to pr
Externí odkaz:
http://arxiv.org/abs/2406.16513
Machine learning image classifiers are susceptible to adversarial and corruption perturbations. Adding imperceptible noise to images can lead to severe misclassifications of the machine learning model. Using $L_p$-norms for measuring the size of the
Externí odkaz:
http://arxiv.org/abs/2110.06816
Despite achieving remarkable performance on many image classification tasks, state-of-the-art machine learning (ML) classifiers remain vulnerable to small input perturbations. Especially, the existence of adversarial examples raises concerns about th
Externí odkaz:
http://arxiv.org/abs/2002.01810