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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| Format: | Conference item |
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Institute of Electrical and Electronics Engineers
2017
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