Cargando…

Fine-grained classification based on multi-scale pyramid convolution networks

The large intra-class variance and small inter-class variance are the key factor affecting fine-grained image classification. Recently, some algorithms have been more accurate and efficient. However, these methods ignore the multi-scale information of the network, resulting in insufficient ability t...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Gaihua, Cheng, Lei, Lin, Jinheng, Dai, Yingying, Zhang, Tianlun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270455/ https://www.ncbi.nlm.nih.gov/pubmed/34242297 http://dx.doi.org/10.1371/journal.pone.0254054

Ejemplares similares

Instance segmentation convolutional neural network based on multi-scale attention mechanism
por: Gaihua, Wang, et al.
Publicado: (2022)

Fine-Grained Breast Cancer Classification With Bilinear Convolutional Neural Networks (BCNNs)
por: Liu, Weihuang, et al.
Publicado: (2020)

A Fine-Grained Image Classification and Detection Method Based on Convolutional Neural Network Fused with Attention Mechanism
por: Zhang, Yue
Publicado: (2022)

Birdsong classification based on ensemble multi-scale convolutional neural network
por: Liu, Jiang, et al.
Publicado: (2022)

Hierarchical Multi-Scale Convolutional Neural Networks for Hyperspectral Image Classification
por: Li, Simin, et al.
Publicado: (2019)

Based on the multi-scale information sharing network of fine-grained attention for agricultural pest detection
por: Linfeng, Wang, et al.
Publicado: (2023)

Multi-Scale Feature Fusion of Covariance Pooling Networks for Fine-Grained Visual Recognition
por: Qian, Lulu, et al.
Publicado: (2023)

Multi-Modality Medical Image Fusion Using Convolutional Neural Network and Contrast Pyramid
por: Wang, Kunpeng, et al.
Publicado: (2020)

Feature fusion network based on few-shot fine-grained classification
por: Yang, Yajie, et al.
Publicado: (2023)

Motor Imagery EEG Classification Based on Transfer Learning and Multi-Scale Convolution Network
por: Chang, Zhanyuan, et al.
Publicado: (2022)

Hybrid Pyramid Convolutional Network for Multiscale Face Detection
por: Hou, Shaoqi, et al.
Publicado: (2021)

Improved Feature Pyramid Convolutional Neural Network for Effective Recognition of Music Scores
por: Li, Lei
Publicado: (2022)

Multi-view classification with convolutional neural networks
por: Seeland, Marco, et al.
Publicado: (2021)

A reliable and low-cost deep learning model integrating convolutional neural network and transformer structure for fine-grained classification of chicken Eimeria species
por: He, Pengguang, et al.
Publicado: (2022)

ALS Point Cloud Classification by Integrating an Improved Fully Convolutional Network into Transfer Learning with Multi-Scale and Multi-View Deep Features
por: Lei, Xiangda, et al.
Publicado: (2020)

Segmentation and Multi-Scale Convolutional Neural Network-Based Classification of Airborne Laser Scanner Data
por: Yang, Zhishuang, et al.
Publicado: (2018)

Hybrid Dilated Convolution with Multi-Scale Residual Fusion Network for Hyperspectral Image Classification
por: Li, Chenming, et al.
Publicado: (2021)

Attention-Based Multi-Scale Convolutional Neural Network (A+MCNN) for Multi-Class Classification in Road Images
por: Eslami, Elham, et al.
Publicado: (2021)

An Efficient Multi-Scale Convolutional Neural Network Based Multi-Class Brain MRI Classification for SaMD
por: Yazdan, Syed Ali, et al.
Publicado: (2022)

A Multi-Scale Densely Connected Convolutional Neural Network for Automated Thyroid Nodule Classification
por: Wang, Luoyan, et al.
Publicado: (2022)

Multi-label classification of fundus images based on graph convolutional network
por: Cheng, Yinlin, et al.
Publicado: (2021)

DMPNet: densely connected multi-scale pyramid networks for crowd counting
por: Li, Pengfei, et al.
Publicado: (2022)

Correction: Multi-view classification with convolutional neural networks
Publicado: (2021)

Generative Adversarial Networks to Improve Fetal Brain Fine-Grained Plane Classification
por: Montero, Alberto, et al.
Publicado: (2021)

A multi-scale pooling convolutional neural network for accurate steel surface defects classification
por: Fu, Guizhong, et al.
Publicado: (2023)

A Multi-Scale U-Shaped Convolution Auto-Encoder Based on Pyramid Pooling Module for Object Recognition in Synthetic Aperture Radar Images
por: Tian, Sirui, et al.
Publicado: (2020)

Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network
por: Chi, Jianning, et al.
Publicado: (2017)

Dermoscopic Image Classification Method Using an Ensemble of Fine-Tuned Convolutional Neural Networks
por: Shen, Xin, et al.
Publicado: (2022)

A Spatial–Temporal Causal Convolution Network Framework for Accurate and Fine-Grained PM(2.5) Concentration Prediction
por: Lin, Shaofu, et al.
Publicado: (2022)

Exploring Misclassification Information for Fine-Grained Image Classification
por: Wang, Da-Han, et al.
Publicado: (2021)

Identification and Pyramiding of QTLs for Rice Grain Size Based on Short-Wide Grain CSSL-Z563 and Fine-Mapping of qGL3–2
por: Liang, Peixuan, et al.
Publicado: (2021)

CACRNN: A Context-Aware Attention-Based Convolutional Recurrent Neural Network for Fine-Grained Taxi Demand Prediction
por: Wu, Wenbin, et al.
Publicado: (2020)

Fine-Grained Emotion Detection in Suicide Notes: A Thresholding Approach to Multi-Label Classification
por: Luyckx, Kim, et al.
Publicado: (2012)

Encoding Time Series as Multi-Scale Signed Recurrence Plots for Classification Using Fully Convolutional Networks
por: Zhang, Ye, et al.
Publicado: (2020)

Classification and Diagnosis of Residual Thyroid Tissue in SPECT Images Based on Fine-Tuning Deep Convolutional Neural Network
por: Guo, Yinxiang, et al.
Publicado: (2021)

Multi-Focus Image Fusion Based on Convolution Neural Network for Parkinson’s Disease Image Classification
por: Dai, Yin, et al.
Publicado: (2021)

Very High Resolution Species Distribution Modeling Based on Remote Sensing Imagery: How to Capture Fine-Grained and Large-Scale Vegetation Ecology With Convolutional Neural Networks?
por: Deneu, Benjamin, et al.
Publicado: (2022)

A Convolutional Neural Network and Graph Convolutional Network Based Framework for AD Classification
por: Lin, Lan, et al.
Publicado: (2023)

A Novel Detection and Multi-Classification Approach for IoT-Malware Using Random Forest Voting of Fine-Tuning Convolutional Neural Networks
por: Atitallah, Safa Ben, et al.
Publicado: (2022)

Fine-Grained Image Classification for Crop Disease Based on Attention Mechanism
por: Yang, Guofeng, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_vd8qt5t3tpabka93judfvmu3dl