MultiEarth 2022 -- The Champion Solution for Image-to-Image Translation Challenge via Generation Models

The MultiEarth 2022 Image-to-Image Translation challenge provides a well-constrained test bed for generating the corresponding RGB Sentinel-2 imagery with the given Sentinel-1 VV & VH imagery. In this challenge, we designed various generation models and found the SPADE [1] and pix2pixHD [2] mode...

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Veröffentlicht in:	arXiv.org 2022-06
Hauptverfasser:	Gou, Yuchuan, Peng, Bo, Liu, Hongchen, Zhou, Hang, Jui-Hsin Lai
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Sprache:	eng
Schlagworte:	Imagery
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creator	Gou, Yuchuan Peng, Bo Liu, Hongchen Zhou, Hang Jui-Hsin Lai
description	The MultiEarth 2022 Image-to-Image Translation challenge provides a well-constrained test bed for generating the corresponding RGB Sentinel-2 imagery with the given Sentinel-1 VV & VH imagery. In this challenge, we designed various generation models and found the SPADE [1] and pix2pixHD [2] models could perform our best results. In our self-evaluation, the SPADE-2 model with L1-loss can achieve 0.02194 MAE score and 31.092 PSNR dB. In our final submission, the best model can achieve 0.02795 MAE score ranked No.1 on the leader board.
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title	MultiEarth 2022 -- The Champion Solution for Image-to-Image Translation Challenge via Generation Models
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