Continual learning of conjugated visual representations through higher-order motion flows
Learning with neural networks from a continuous stream of visual information presents several challenges due to the non-i.i.d. nature of the data. However, it also offers novel opportunities to develop representations that are consistent with the information flow. In this paper we investigate the ca...
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Published in | Neural networks Vol. 187; p. 107296 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Ltd
01.07.2025
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Subjects | |
Online Access | Get full text |
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