Two-stage fine-grained image classification model based on multi-granularity feature fusion

Yang Xu; Shanshan Wu; Biqi Wang; Ming–Hsuan Yang; Zebin Wu; Yazhou Yao; Zhihui Wei

doi:10.1016/j.patcog.2023.110042

ScienceGate Book Chapters

JOURNAL ARTICLE

Two-stage fine-grained image classification model based on multi-granularity feature fusion

Yang Xu Shanshan Wu Biqi Wang Ming–Hsuan Yang Zebin Wu Yazhou Yao Zhihui Wei

Year: 2023 Journal: Pattern Recognition Vol: 146 Pages: 110042-110042 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2023.110042

Get Full-Text PDF Get Analytical Report

Keywords:

Granularity Computer science Discriminative model Artificial intelligence Feature (linguistics) Pattern recognition (psychology) Fusion Machine learning

Metrics

Cited By

5.46

FWCI (Field Weighted Citation Impact)

Refs

0.95

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Two-stage fine-grained image classification model based on multi-granularity feature fusion

Metrics

Citation History

Topics

Related Documents

Fine-Grained Image Classification Based on Multi-Scale Feature Fusion

Cross-Granularity Fusion Network for Fine-Grained Image Classification

MSFF: Multi-Scale feature fusion for fine-grained image classification

Efficient multi-granularity network for fine-grained image classification

A cross-granularity feature fusion method for fine-grained image recognition