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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…

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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…