4.7 Article

Multi-Scale Boosting Feature Encoding Network for Texture Recognition

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Distribution Cognisant Loss for Cross-Database Facial Age Estimation With Sensitivity Analysis

Ali Akbari et al.

Summary: This article focuses on subjective-exclusive cross-database age estimation, which is rarely valid in practical applications. The age estimation problem is formulated as the distribution learning framework, and a new loss function is proposed for improved performance. Experimental results show that the proposed approach outperforms state-of-the-art methods.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2022)

Article Engineering, Electrical & Electronic

2D-LBP: An Enhanced Local Binary Feature for Texture Image Classification

Bin Xiao et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2019)

Article Automation & Control Systems

Multiscale Feature-Clustering-Based Fully Convolutional Autoencoder for Fast Accurate Visual Inspection of Texture Surface Defects

Hua Yang et al.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2019)

Article Computer Science, Artificial Intelligence

Deep convolutional network with locality and sparsity constraints for texture classification

Xingyuan Bu et al.

PATTERN RECOGNITION (2019)

Article Computer Science, Artificial Intelligence

From BoW to CNN: Two Decades of Texture Representation for Texture Classification

Li Liu et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2019)

Article Engineering, Electrical & Electronic

Multiscale Symmetric Dense Micro-Block Difference for Texture Classification

Yongsheng Dong et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2019)

Proceedings Paper Computer Science, Artificial Intelligence

Deep Multiple-Attribute-Perceived Network for Real-world Texture Recognition

Wei Zhai et al.

2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)

Proceedings Paper Imaging Science & Photographic Technology

MULTI-LEVEL TEXTURE ENCODING AND REPRESENTATION (MULTER) BASED ON DEEP NEURAL NETWORKS

Yuting Hu et al.

2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) (2019)

Article Computer Science, Information Systems

Deep Residual Texture Network for Terrain Recognition

Peng Song et al.

IEEE ACCESS (2019)

Article Engineering, Electrical & Electronic

LETRIST: Locally Encoded Transform Feature Histogram for Rotation-Invariant Texture Classification

Tiecheng Song et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Deep Texture Manifold for Ground Terrain Recognition

Jia Xue et al.

2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Locally-Transferred Fisher Vectors for Texture Classification

Yang Song et al.

2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Differential Angular Imaging for Material Recognition

Jia Xue et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Deep TEN: Texture Encoding Network

Hang Zhang et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Proceedings Paper Computer Science, Artificial Intelligence

FASON: First and Second Order Information Fusion Network for Texture Recognition

Xiyang Dai et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Article Computer Science, Artificial Intelligence

Deep Filter Banks for Texture Recognition, Description, and Segmentation

Mircea Cimpoi et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2016)

Article Computer Science, Artificial Intelligence

Using filter banks in Convolutional Neural Networks for texture classification

Vincent Andrearczyk et al.

PATTERN RECOGNITION LETTERS (2016)

Proceedings Paper Computer Science, Artificial Intelligence

Visualizing and Understanding Deep Texture Representations

Tsung-Yu Lin et al.

2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2016)

Article Engineering, Electrical & Electronic

Local N-Ary Pattern and Its Extension for Texture Classification

Sheng Wang et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2015)

Article Computer Science, Artificial Intelligence

PCANet: A Simple Deep Learning Baseline for Image Classification?

Tsung-Han Chan et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2015)

Article Computer Science, Artificial Intelligence

ImageNet Large Scale Visual Recognition Challenge

Olga Russakovsky et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Describing Textures in the Wild

Mircea Cimpoi et al.

2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2014)

Article Computer Science, Artificial Intelligence

Multi-scale gray level co-occurrence matrices for texture description

Fernando Roberti de Siqueira et al.

NEUROCOMPUTING (2013)

Article Computer Science, Artificial Intelligence

Aggregating Local Image Descriptors into Compact Codes

Herve Jegou et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2012)

Article Computer Science, Artificial Intelligence

Using Basic Image Features for Texture Classification

M. Crosier et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2010)

Article Ophthalmology

Material perception: What can you see in a brief glance?

L. Sharan et al.

JOURNAL OF VISION (2010)

Article Computer Science, Artificial Intelligence

TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context

Jamie Shotton et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2009)

Article Computer Science, Artificial Intelligence

Face description with local binary patterns:: Application to face recognition

Timo Ahonen et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2006)

Article Computer Science, Artificial Intelligence

Multiresolution gray-scale and rotation invariant texture classification with local binary patterns

T Ojala et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2002)

Article Computer Science, Artificial Intelligence

Representing and recognizing the visual appearance of materials using three-dimensional textons

T Leung et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2001)

Article Statistics & Probability

Additive logistic regression: A statistical view of boosting

J Friedman et al.

ANNALS OF STATISTICS (2000)