iCaRL: Incremental Classifier and Representation Learning

A major open problem on the road to artificial intelligence is the development of incrementally learning systems that learn about more and more concepts over time from a stream of data. In this work, we introduce a new training strategy, iCaRL, that allows learning in such a class-incremental way: o...

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Veröffentlicht in:	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) S. 5533 - 5542
Hauptverfasser:	Rebuffi, Sylvestre-Alvise, Kolesnikov, Alexander, Sperl, Georg, Lampert, Christoph H.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.07.2017
Schlagworte:	Classification algorithms Computer vision Feature extraction Memory management Prototypes Training Training data
ISSN:	1063-6919, 1063-6919
Online-Zugang:	Volltext
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