14 citations · 34 across the 8 of their papers we have counts for
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cs.CV2021
Attention-based Adversarial Appearance Learning of Augmented Pedestrians
Kevin Strauss, Artem Savkin, Federico Tombari
Synthetic data became already an essential component of machine learning-based perception in the field of autonomous driving. Yet it still cannot replace real data completely due t…
cs.CV2021★ 1 cited
KLIEP-based Density Ratio Estimation for Semantically Consistent Synthetic to Real Images Adaptation in Urban Traffic Scenes
Artem Savkin, Federico Tombari
Synthetic data has been applied in many deep learning based computer vision tasks. Limited performance of algorithms trained solely on synthetic data has been approached with domai…
cs.CV2021
Content Disentanglement for Semantically Consistent Synthetic-to-Real Domain Adaptation
Mert Keser, Artem Savkin, Federico Tombari
Synthetic data generation is an appealing approach to generate novel traffic scenarios in autonomous driving. However, deep learning perception algorithms trained solely on synthet…