CVPR 2020

[CVPR 2020] CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus

Jul 01, 2020

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Florian Kluger

Homography Estimation

3D Reconstruction

Self-Supervised Learning

Reinforcement Learning

Computer Vision

Details

CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus Accepted for publication at CVPR 2020. Paper: https://arxiv.org/abs/2001.02643 Code, trained models and datasets: https://github.com/fkluger/consac Authors: Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn Institut für Informationsverarbeitung, Leibniz University Hannover, Germany http://www.tnt.uni-hannover.de/ Visual Learning Lab, Heidelberg University, Germany https://hci.iwr.uni-heidelberg.de/vislearn/ Department of Earth Observation Science, University of Twente, Netherlands https://research.utwente.nl/en/organisations/department-of-earth-observation-science

Category: CVPR 2020

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