Frames earthquake magnitude estimation from Sentinel-1 imagery as a metric-learning task that adds pairwise ranking to regression, reporting over 30% MAE improvement versus regression-only baselines.
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (June 2020)
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Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking
Frames earthquake magnitude estimation from Sentinel-1 imagery as a metric-learning task that adds pairwise ranking to regression, reporting over 30% MAE improvement versus regression-only baselines.