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Monocular Depth Estimators: Vulnerabilities and Attacks
It has been shown in recent works that these deep neural networks are highly vulnerable to adversarial samples for tasks like classification, detection and segmentation.
Self-Attention Dense Depth Estimation Network for Unrectified Video Sequences
The dense depth estimation of a 3D scene has numerous applications, mainly in robotics and surveillance.
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