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

2 papers

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.LG2018★ 150 cited

Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data

Onur Tasar, Yuliya Tarabalka, Pierre Alliez

In spite of remarkable success of the convolutional neural networks on semantic segmentation, they suffer from catastrophic forgetting: a significant performance drop for the alrea…