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README.md

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-Download link: https://sid.erda.dk/share_redirect/f1Hmpeh6O2
 
-Introduced by Li et al. in ECCV 2024 proceeding: Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring
+Dataset download link: https://sid.erda.dk/share_redirect/f1Hmpeh6O2
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+Project page: https://dgominski.github.io/drift/
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+GitHub page: https://github.com/sizhuoli/Domain_adaptive_regression_with_ordered_embedding_space
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+Publication: ECCV 2024 proceeding: Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring (https://arxiv.org/abs/2405.00514)
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 The DRIFT dataset includes 25k image patches collected in five European countries sourced from aerial and nanosatellite image archives. Each image patch is associated with three target variables to predict:
 
 Canopy height: average height value for pixels containing woody vegetation.