A novel competitive learning prototype for image ordinal classification
Abstract Image ordinal classification (IOC) assigns a discrete yet ordinal scalar label to an input image, such as age estimation. Learning similarity metric, as a fine separation tool, is a prevailing solution to this problem. However, it is non-trivial to effectively incorporate the ordinal inform...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-05758-8 |
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