@inproceedings {pub3268,
	title = {Improving online learning of visual categories by deep features},
	author = {Heiko Wersing AND Stephan Hasler AND Sebastian Schrom AND Lydia Fischer},
	year = {2016},
	month = {December},
	abstract = {We review recent work on incremental architectures for real-time object category learning in robotics. We train a deep architecture for a 126 object identification task with free fully rotated and unconstrained in-hand presentation. We show that the feature representation that was trained for object identification is highly efficient for learning more abstract shape and color categories. The resulting performance strongly exceed our earlier results by Kirstein et al. (2009)},
	publisher = {NIPS Foundation},
	booktitle = {Workshop Future of Interactive Learning Machines (FILM) at NIPS 2016}
}