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 2018Show all

2 papers · 1 filter

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…

cs.CV2018★ 8 cited

Coarse to fine non-rigid registration: a chain of scale-specific neural networks for multimodal image alignment with application to remote sensing

Armand Zampieri, Guillaume Charpiat, Yuliya Tarabalka

We tackle here the problem of multimodal image non-rigid registration, which is of prime importance in remote sensing and medical imaging. The difficulties encountered by classical…