Exploring Misclassification Information for Fine-Grained Image Classification

Exploring Misclassification Information for Fine-Grained Image Classification

Fine-grained image classification is a hot topic that has been widely studied recently. Many fine-grained image classification methods ignore misclassification information, which is important to improve classification accuracy. To make use of misclassification information, in this paper, we propose...

Full description

Bibliographic Details
Main Authors:	Da-Han Wang, Wei Zhou, Jianmin Li, Yun Wu, Shunzhi Zhu
Format:	Article
Language:	English
Published:	MDPI AG 2021-06-01
Series:	Sensors
Subjects:	fine-grained image classification misclassification information confusion information object categorization
Online Access:	https://www.mdpi.com/1424-8220/21/12/4176

Similar Items

A Public Dataset for Fine-Grained Ship Classification in Optical Remote Sensing Images
by: Yanghua Di, et al.
Published: (2021-02-01)

Convolutional Attention Network with Maximizing Mutual Information for Fine-Grained Image Classification
by: Fenglei Wang, et al.
Published: (2020-09-01)

Multi-Level Metric Learning Network for Fine-Grained Classification
by: Jiabao Wang, et al.
Published: (2019-01-01)

Learning misclassification costs for imbalanced classification on gene expression data
by: Huijuan Lu, et al.
Published: (2019-12-01)

Fine-Grained Image Classification With Gaussian Mixture Layer
by: Jingyun Liang, et al.
Published: (2018-01-01)

Learning Attention-Aware Interactive Features for Fine-Grained Vegetable and Fruit Classification
by: Yimin Wang, et al.
Published: (2021-07-01)

Assessing the quality of classification models: Performance measures and evaluation procedures
by: Cichosz Paweł
Published: (2011-06-01)

A study of methods for fine-grained object classification of arthropod specimens
by: Lin, Junyuan
Published: (2013)

Malware Visualization for Fine-Grained Classification
by: Jianwen Fu, et al.
Published: (2018-01-01)

A Bayesian Approach to Account for Misclassification and Overdispersion in Count Data
by: Wenqi Wu, et al.
Published: (2015-08-01)

A New Benchmark and an Attribute-Guided Multilevel Feature Representation Network for Fine-Grained Ship Classification in Optical Remote Sensing Images
by: Xiaohan Zhang, et al.
Published: (2020-01-01)

Analysis of Recurrent Polyp Data in the Presence of Misclassification
by: Grunow, Nathan Daniel, et al.
Published: (2016)

Adaptive Triplet Model for Fine-Grained Visual Categorization
by: Jingyun Liang, et al.
Published: (2018-01-01)

Fine-Grained Image Classification for Crop Disease Based on Attention Mechanism
by: Guofeng Yang, et al.
Published: (2020-12-01)

A federated approach for fine-grained classification of fashion apparel
by: Tejaswini Mallavarapu, et al.
Published: (2021-12-01)

Classification fine d'objets : identification d'espèces végétales
by: Rejeb Sfar, Asma
Published: (2014)

The Key Reason of False Positive Misclassification for Accurate Large-Area Mangrove Classifications
by: Chuanpeng Zhao, et al.
Published: (2021-07-01)

Self-Supervised Collaborative Multi-Network for Fine-Grained Visual Categorization of Tomato Diseases
by: Guofeng Yang, et al.
Published: (2020-01-01)

Deep Learning Method for Fine-Grained Image Categorization
by: LI Xiangxia, JI Xiaohui, LI Bin
Published: (2021-10-01)

Semi-Supervised Learning for Fine-Grained Classification With Self-Training
by: Obed Tettey Nartey, et al.
Published: (2020-01-01)

Analysis of binary responses with outcome-specific misclassification probability in genome-wide association studies
by: Rekaya R, et al.
Published: (2016-11-01)

Exploiting Category Similarity-Based Distributed Labeling for Fine-Grained Visual Classification
by: Pengzhen Du, et al.
Published: (2020-01-01)

Adaptive Selecting and Learning Network and a New Benchmark for Imbalanced Fine-Grained Ship Classification
by: Yujie Xu, et al.
Published: (2021-01-01)

Classification of Financial Tickets Using Weakly Supervised Fine-Grained Networks
by: Hanning Zhang, et al.
Published: (2020-01-01)

Selection and Misclassification Biases in Longitudinal Studies
by: Denis Haine, et al.
Published: (2018-05-01)

Rapid Fine-Grained Classification of Butterflies Based on FCM-KM and Mask R-CNN Fusion
by: Aijiao Tan, et al.
Published: (2020-01-01)

Misclassification and characterization of exposure to humidifier disinfectants using a questionnaire
by: Hyeonsu Ryu, et al.
Published: (2021-07-01)

Accounting for misclassification bias of binary outcomes due to underscreening: a sensitivity analysis
by: Nanhua Zhang, et al.
Published: (2017-12-01)

Bilinear CNN Model for Fine-Grained Classification Based on Subcategory-Similarity Measurement
by: Xinghua Dai, et al.
Published: (2019-01-01)

Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks
by: Haoming Lin, et al.
Published: (2019-01-01)

Misclassification probability as obese or lean in hypercaloric and normocaloric diet
by: ANDRÉ F NASCIMENTO, et al.
Published: (2008-01-01)

Attention Bilinear Pooling for Fine-Grained Classification
by: Wenqian Wang, et al.
Published: (2019-08-01)

Using Text and Visual Cues for Fine-Grained Classification
by: Zaryab Shaker, et al.
Published: (2021-09-01)

Fine-Grained Classification via Hierarchical Bilinear Pooling With Aggregated Slack Mask
by: Min Tan, et al.
Published: (2019-01-01)

Distribution Shift Metric Learning for Fine-Grained Ship Classification in SAR Images
by: Yongjie Xu, et al.
Published: (2020-01-01)

Investigating healthy life expectancy using a multi-state model in the presence of missing data and misclassification
by: Ardo van den Hout, et al.
Published: (2014-04-01)

Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification
by: Xiang Bai, et al.
Published: (2018-01-01)

Multiple imputation to quantify misclassification in observational studies of the cognitively impaired: an application for pain assessment in nursing home residents
by: Anthony P. Nunes, et al.
Published: (2021-06-01)

Increasingly Specialized Perception Network for Fine-Grained Visual Categorization of Butterfly Specimens
by: Zhongqi Lin, et al.
Published: (2019-01-01)

Evolving Convolutional Neural Network and Its Application in Fine-Grained Visual Categorization
by: Qi Xuan, et al.
Published: (2018-01-01)

Cannot write session to /tmp/vufind_sessions/sess_br71ini6shvk2clumqlquiufa2