Multi-Model Fusion Fine-Grained Image Classification Method Based on Migration Learning

Current single-model methods for fine-grained image classification suffer from insufficient generalisation ability, while multi-model fusion methods suffer from weight curing. The study suggests and experimentally tests a dynamic weight multi-model fusion strategy for transfer learning-based fine-gr...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Wenying Zhang, Yaping Wang
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Migration learning multi-model fine-grained image generalization capability CNN
Online Access:	https://ieeexplore.ieee.org/document/10443579/