CVIVJun 17, 2022

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

arXiv:2207.00001v1h-index: 48
Originality Synthesis-oriented
AI Analysis

This is an incremental improvement for remote sensing image translation, addressing a specific competition benchmark.

The paper tackled generating RGB Sentinel-2 imagery from Sentinel-1 VV & VH data in the MultiEarth 2022 challenge, achieving a top-ranked MAE score of 0.02795.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes