Learning of invariant object recognition in hierarchical neural networks using temporal continuity
A lot of progress in the field of invariant object recognition has been made in recent years using so called deep neural networks with several layers to be trained which can learn patterns of increasing complexity. This architectural feature can alreay be found in older neural models as, e.g.,...
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| Format: | Article |
| Language: | English |
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Computer Vision Center Press
2015-12-01
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| Series: | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
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| Online Access: | https://elcvia.cvc.uab.es/article/view/719 |