output
20162023
most citedIncremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data

150 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2020 · cs.CVShow all

2 papers · 2 filters

cs.CV2020★ 77 cited

DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images

Onur Tasar, Alain Giros, Yuliya Tarabalka +2

The domain adaptation of satellite images has recently gained an increasing attention to overcome the limited generalization abilities of machine learning models when segmenting la…

cs.CV2020★ 22 cited

Polygonal Building Segmentation by Frame Field Learning

Nicolas Girard, Dmitriy Smirnov, Justin Solomon +1

While state of the art image segmentation models typically output segmentations in raster format, applications in geographic information systems often require vector polygons. To h…