CORDIS Project
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This project aims to enhance the robustness and explainability of deep learning models in computer vision. It focuses on developing structured architectures and probabilistic methods to improve performance in real-world applications, particularly in 3D scene analysis.
Deep learning approaches, mostly in the form of convolutional neural networks (CNNs), have taken the field of computer vision by storm.
While the progress in recent years has been astounding, it would be dangerous to believe that important problems in computer vision are close to being solved.
Many canonical deep networks for vision tasks ranging from image understanding to 3D reconstruction or motion estimation perform incredibly well ""on dataset"", i.e.~in the very setting in which they have…
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