ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data (2019-04-01T00:00:00.000000Z)

TL;DR

A novel deep learning architecture, \resuneta, is presented that combines ideas from various state of the art modules used in computer vision for semantic segmentation tasks that has better convergence properties and behaves well even under the presence of highly imbalanced classes.

Authors

F. Diakogiannis

1 papers

F. Waldner

1 papers

P. Caccetta

1 papers

Chen Wu

1 papers

TL;DR

Authors

References92 items

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