97 citations · 108 across the 5 of their papers we have counts for
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eess.IV2020
Towards Histopathological Stain Invariance by Unsupervised Domain Augmentation using Generative Adversarial Networks
Jelica Vasiljević, Friedrich Feuerhake, Cédric Wemmert +1
The application of supervised deep learning methods in digital pathology is limited due to their sensitivity to domain shift. Digital Pathology is an area prone to high variability…
cs.CR2020★ 1 cited
Shadow-Catcher: Looking Into Shadows to Detect Ghost Objects in Autonomous Vehicle 3D Sensing
Zhongyuan Hau, Soteris Demetriou, Luis Muñoz-González +1
LiDAR-driven 3D sensing allows new generations of vehicles to achieve advanced levels of situation awareness. However, recent works have demonstrated that physical adversaries can…