Weakly Supervised Bilinear Convolutional Neural Network for Fine-Grained Vehicle Classification

Linhao Li; Han Zang; Xiaojuan Fan; Hao Cheng; Yongfeng Dong

doi:10.1109/tits.2025.3621831

ScienceGate Book Chapters

JOURNAL ARTICLE

Weakly Supervised Bilinear Convolutional Neural Network for Fine-Grained Vehicle Classification

Linhao Li Han Zang Xiaojuan Fan Hao Cheng Yongfeng Dong

Year: 2025 Journal: IEEE Transactions on Intelligent Transportation Systems Vol: 26 (12)Pages: 22470-22481 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tits.2025.3621831

Get Full-Text PDF Get Analytical Report

Keywords:

Convolutional neural network Bilinear interpolation Pattern recognition (psychology) Intelligent transportation system Artificial neural network

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.66

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Generative Adversarial Networks and Image Synthesis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Vehicle Dynamics and Control Systems

Physical Sciences → Engineering → Automotive Engineering

Weakly Supervised Bilinear Convolutional Neural Network for Fine-Grained Vehicle Classification

Metrics

Topics

Related Documents

AP-CNN: Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification

Weakly-supervised vehicle detection and classification by convolutional neural network

Fine-Grained Breast Cancer Classification With Bilinear Convolutional Neural Networks (BCNNs)

Fine-grained vehicle recognition by deep Convolutional Neural Network

FGPNet: A weakly supervised fine-grained 3D point clouds classification network