Dataset - LDM

GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geograph...

Land cover maps are a pivotal element in a wide range of Earth Observation (EO) applications. However, annotating large datasets to develop supervised systems for remote sensing...
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VisDA-C

VisDA-C is a dataset for visual domain adaptation, consisting of synthetic rendering of 3D models in the source domain and Microsoft COCO real images in the target domain.
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VisDA2017

VisDA2017 is a popular synthetic-to-real domain adaptation benchmark, which consists of 150k synthetic and 55k real images from 12 categories.
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3 datasets found