A Novel Part Feature Integration and Fusion Method for Fine-Grained Vehicle Recognition
Author:
Affiliation:
1. Xi’an Jiaotong University,School of Information and Communications Engineering
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747321.pdf?arnumber=9747321
Reference23 articles.
1. Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery
2. Picking Deep Filter Responses for Fine-Grained Image Recognition
3. Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition
4. Global Topology Constraint Network for Fine-Grained Vehicle Recognition
5. Part-Guided Relational Transformers for Fine-Grained Visual Recognition
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1. An efficient fine-grained vehicle recognition method based on part-level feature optimization;Neurocomputing;2023-06
2. Coarse-to-Fine Context Aggregation Network for Vehicle Make and Model Recognition;IEEE Access;2023
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