Addressing appearance change in outdoor robotics with adversarial domain adaptation

Addressing appearance change in outdoor robotics with adversarial domain adaptation

Appearance changes due to weather and seasonal conditions represent a strong impediment to the robust implementation of machine learning systems in outdoor robotics. While supervised learning optimises a model for the training domain, it will deliver degraded performance in application domains that...

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Bibliographic Details
Main Authors:	Wulfeier, M, Bewley, A, Posner, H
Format:	Conference item
Published:	Institute of Electrical and Electronics Engineers 2017

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