Search Results for author: Dávid Sebők

Found 2 papers, 2 papers with code

Domain Adaptation of Networks for Camera Pose Estimation: Learning Camera Pose Estimation Without Pose Labels

1 code implementation29 Nov 2021 Jack Langerman, Ziming Qiu, Gábor Sörös, Dávid Sebők, Yao Wang, Howard Huang

One of the key criticisms of deep learning is that large amounts of expensive and difficult-to-acquire training data are required in order to train models with high performance and good generalization capabilities.

Domain Adaptation Image-to-Image Translation +1

Biologically Inspired Semantic Lateral Connectivity for Convolutional Neural Networks

1 code implementation20 May 2021 Tonio Weidler, Julian Lehnen, Quinton Denman, Dávid Sebők, Gerhard Weiss, Kurt Driessens, Mario Senden

Lateral connections play an important role for sensory processing in visual cortex by supporting discriminable neuronal responses even to highly similar features.

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