@inproceedings {pub3438,
	title = {Effects of Domain Awareness in Generalizing over Cameras in Road Detection},
	author = {Sebastian Schrom AND Stephan Hasler},
	year = {2017},
	month = {September},
	abstract = {In this paper we investigate the effects of domain awareness when using a pre-trained covolutional neural network (CNN). Usually, the only adaptation when using such a CNN for the same task is to normalize the input data by an individual RGB mean from own data. We show that it plays a major role whether the test domain was included during training and if training was aware of domains. For this we investigate generalization over few cameras in a road detection task as a domain transfer scenario. We train CNNs for all combinations of used cameras and test each camera individually. We apply RGB mean subtraction in three different cases of domain awareness during training and test. Our results reveal a harmful effect if the test domain was included during the network training, but not considered as an individual domain.
},
	publisher = {Machine Learning Reports},
	booktitle = {New Challenges in Neural Computation (NC2)}
}