Cargando…

Few-shot cotton leaf spots disease classification based on metric learning

BACKGROUND: Cotton diceases seriously affect the yield and quality of cotton. The type of pest or disease suffered by cotton can be determined by the disease spots on the cotton leaves. This paper presents a few-shot learning framework that can be used for cotton leaf disease spot classification tas...

Descripción completa

Detalles Bibliográficos
Autor principal:	Liang, Xihuizi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2021
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576888/ https://www.ncbi.nlm.nih.gov/pubmed/34749780 http://dx.doi.org/10.1186/s13007-021-00813-7

Ejemplares similares

Few-Shot Rolling Bearing Fault Diagnosis with Metric-Based Meta Learning
por: Wang, Sihan, et al.
Publicado: (2020)

Few-Shot Fine-Grained Forest Fire Smoke Recognition Based on Metric Learning
por: Sun, Bingjian, et al.
Publicado: (2022)

Efficient few-shot machine learning for classification of EBSD patterns
por: Kaufmann, Kevin, et al.
Publicado: (2021)

Insights into few shot learning approaches for image scene classification
por: Soudy, Mohamed, et al.
Publicado: (2021)

Automated classification of polyps using deep learning architectures and few-shot learning
por: Krenzer, Adrian, et al.
Publicado: (2023)

Study of the Few-Shot Learning for ECG Classification Based on the PTB-XL Dataset
por: Pałczyński, Krzysztof, et al.
Publicado: (2022)

Few-shot contrastive learning for image classification and its application to insulator identification
por: Li, Liang, et al.
Publicado: (2021)

Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa
por: Lagergren, John, et al.
Publicado: (2023)

Hybrid Fine-Tuning Strategy for Few-Shot Classification
por: Zhao, Lei, et al.
Publicado: (2022)

Few-shot learning for classification of novel macromolecular structures in cryo-electron tomograms
por: Li, Ran, et al.
Publicado: (2020)

FewJoint: few-shot learning for joint dialogue understanding
por: Hou, Yutai, et al.
Publicado: (2022)

Automated human cell classification in sparse datasets using few-shot learning
por: Walsh, Reece, et al.
Publicado: (2022)

A Meta-Learning Approach for Few-Shot Face Forgery Segmentation and Classification
por: Lin, Yih-Kai, et al.
Publicado: (2023)

Easy—Ensemble Augmented-Shot-Y-Shaped Learning: State-of-the-Art Few-Shot Classification with Simple Components
por: Bendou, Yassir, et al.
Publicado: (2022)

Meta-Learning for Few-Shot Plant Disease Detection
por: Chen, Liangzhe, et al.
Publicado: (2021)

Optimizing Few-Shot Learning Based on Variational Autoencoders
por: Wei, Ruoqi, et al.
Publicado: (2021)

Weakly Correlated Knowledge Integration for Few-shot Image Classification
por: Yang, Chun, et al.
Publicado: (2022)

Boosting Knowledge Base Automatically via Few-Shot Relation Classification
por: Pang, Ning, et al.
Publicado: (2020)

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

Few-shot image classification algorithm based on attention mechanism and weight fusion
por: Meng, Xiaoxia, et al.
Publicado: (2023)

Inter-row navigation line detection for cotton with broken rows
por: Liang, Xihuizi, et al.
Publicado: (2022)

Learning few-shot imitation as cultural transmission
por: Bhoopchand, Avishkar, et al.
Publicado: (2023)

Self-supervised learning for remote sensing scene classification under the few shot scenario
por: Alosaimi, Najd, et al.
Publicado: (2023)

Epilepsy seizure prediction with few-shot learning method
por: Nazari, Jamal, et al.
Publicado: (2022)

FSCC: Few-Shot Learning for Macromolecule Classification Based on Contrastive Learning and Distribution Calibration in Cryo-Electron Tomography
por: Gao, Shan, et al.
Publicado: (2022)

Few-Shot Text Classification with Global–Local Feature Information
por: Wang, Depei, et al.
Publicado: (2022)

Few-Shot Fine-Grained Image Classification via GNN
por: Zhou, Xiangyu, et al.
Publicado: (2022)

Few-Shot Learning for Plant-Disease Recognition in the Frequency Domain
por: Lin, Hong, et al.
Publicado: (2022)

Feasibility study to improve deep learning in OCT diagnosis of rare retinal diseases with few-shot classification
por: Yoo, Tae Keun, et al.
Publicado: (2021)

Semi-supervised few-shot learning approach for plant diseases recognition
por: Li, Yang, et al.
Publicado: (2021)

Feature augmentation based on information fusion rectification for few-shot image classification
por: Wang, Hang, et al.
Publicado: (2023)

Few-Shot Learning for Image-Based Nonintrusive Appliance Signal Recognition
por: Matindife, L., et al.
Publicado: (2022)

Aesthetic Characteristics of Dance Based on Few-Shot Learning and Neural Networks
por: Qu, Dixin
Publicado: (2022)

Few-shot learning: temporal scaling in behavioral and dopaminergic learning
por: Burke, Dennis A, et al.
Publicado: (2023)

Zero-Shot Image Classification Based on a Learnable Deep Metric
por: Liu, Jingyi, et al.
Publicado: (2021)

Interactive Echocardiography Translation Using Few-Shot GAN Transfer Learning
por: Teng, Long, et al.
Publicado: (2020)

High-Dimensional Separability for One- and Few-Shot Learning
por: Gorban, Alexander N., et al.
Publicado: (2021)

Cross Modal Few-Shot Contextual Transfer for Heterogenous Image Classification
por: Chen, Zhikui, et al.
Publicado: (2021)

Exploiting the Matching Information in the Support Set for Few Shot Event Classification
por: Lai, Viet Dac, et al.
Publicado: (2020)

English Research Learning and Functional Research Based on Constructivism Theory and Few-Shot Learning
por: Li, Chengyun
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_d46k1lseb1fnd62cv36mein9h1