Adaptive prototype few-shot image classification method based on feature pyramid
Few-shot learning aims to enable machines to recognize unseen novel classes using limited samples akin to human capabilities. Metric learning is a crucial approach to addressing this challenge, with its performance primarily dependent on the effectiveness of feature extraction and prototype computat...
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Published in | PeerJ. Computer science Vol. 10; p. e2322 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
United States
PeerJ. Ltd
01.10.2024
PeerJ Inc |
Subjects | |
Online Access | Get full text |
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