Search Results for author: Nikolai Kalischek

Found 6 papers, 6 papers with code

Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles

1 code implementation5 Mar 2021 Nico Lang, Nikolai Kalischek, John Armston, Konrad Schindler, Ralph Dubayah, Jan Dirk Wegner

NASA's Global Ecosystem Dynamics Investigation (GEDI) is a key climate mission whose goal is to advance our understanding of the role of forests in the global carbon cycle.

Probabilistic Deep Learning regression

BiasBed -- Rigorous Texture Bias Evaluation

1 code implementation23 Nov 2022 Nikolai Kalischek, Rodrigo C. Daudt, Torben Peters, Reinhard Furrer, Jan D. Wegner, Konrad Schindler

With the release of BiasBed, we hope to foster a common understanding of consistent and meaningful comparisons, and consequently faster progress towards learning methods free of texture bias.

Model Selection

BiasBed - Rigorous Texture Bias Evaluation

1 code implementation CVPR 2023 Nikolai Kalischek, Rodrigo Caye Daudt, Torben Peters, Reinhard Furrer, Jan D. Wegner, Konrad Schindler

With the release of BiasBed, we hope to foster a common understanding of consistent and meaningful comparisons, and consequently faster progress towards learning methods free of texture bias.

Model Selection

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