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Benjamin Kellenberger

2 accepted papers

2018

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation

ECCV 2018poster

In computer vision, one is often confronted with problems of domain shifts, which occur when one applies a classifier trained on a source dataset to target data sharing similar characteristics (e.g. same classes), but also different latent data structures (e.g. different acquisition conditions). In…

Cited by 579SourcePDFScholar
2018

Learning Deep Structured Active Contours End-to-End

CVPR 2018poster

The world is covered with millions of buildings, and precisely knowing each instance's position and extents is vital to a multitude of applications. Recently, automated building footprint segmentation models have shown superior detection accuracy thanks to the usage of Convolutional Neural Networks…