Search Results for author: Rick Groenendijk

Found 2 papers, 2 papers with code

Multi-Loss Weighting with Coefficient of Variations

1 code implementation3 Sep 2020 Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink

In this paper, we propose a weighting scheme based on the coefficient of variations and set the weights based on properties observed while training the model.

Monocular Depth Estimation Multi-Task Learning +1

On the Benefit of Adversarial Training for Monocular Depth Estimation

1 code implementation29 Oct 2019 Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink

For the quality of the image reconstruction and disparity prediction, a combination of different losses is used, including L1 image reconstruction losses and left-right disparity smoothness.

Image Reconstruction Monocular Depth Estimation

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