Search Results for author: Brian Clipp

Found 4 papers, 2 papers with code

Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning

no code implementations30 Dec 2022 Colorado J. Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell

Large, pretrained models are commonly finetuned with imagery that is heavily augmented to mimic different conditions and scales, with the resulting models used for various tasks with imagery from a range of spatial scales.

Representation Learning

xFBD: Focused Building Damage Dataset and Analysis

no code implementations23 Dec 2022 Dennis Melamed, Cameron Johnson, Chen Zhao, Russell Blue, Philip Morrone, Anthony Hoogs, Brian Clipp

This new challenge involves a new dataset and metrics indicating solution performance when damage is more local and limited than in xBD.

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