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Spectral-Spatial Feature Tokenization Transformer for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-14

2022

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Semi-Supervised Hyperspectral Image Classification via Spatial-Regulated Self-Training

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (1), p.159

2020

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MFANet: A Multi-Level Feature Aggregation Network for Semantic Segmentation of Land Cover

Remote sensing (Basel, Switzerland), 2021-02, Vol.13 (4), p.731

2021

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ECNet: Efficient Convolutional Networks for Side Scan Sonar Image Segmentation

Sensors (Basel, Switzerland), 2019-04, Vol.19 (9), p.2009

2019

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Scan2BIM-NET: Deep Learning Method for Segmentation of Point Clouds for Scan-to-BIM

Journal of construction engineering and management, 2021-09, Vol.147 (9)

2021

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Deep Metric Learning Based on Scalable Neighborhood Components for Remote Sensing Scene Characterization

IEEE transactions on geoscience and remote sensing, 2020-12, Vol.58 (12), p.8905-8918

2020

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TCUNet: A Lightweight Dual-Branch Parallel Network for Sea–Land Segmentation in Remote Sensing Images

Remote sensing (Basel, Switzerland), 2023-09, Vol.15 (18), p.4413

2023

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Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification

Sensors (Basel, Switzerland), 2020-07, Vol.20 (14), p.3906

2020

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Building Instance Change Detection from Large-Scale Aerial Images using Convolutional Neural Networks and Simulated Samples

Remote sensing (Basel, Switzerland), 2019-06, Vol.11 (11), p.1343

2019

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Patch-Wise Semantic Segmentation for Hyperspectral Images via a Cubic Capsule Network with EMAP Features

Remote sensing (Basel, Switzerland), 2021-09, Vol.13 (17), p.3497

2021

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A Spectral-Spatial Fusion Transformer Network for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2023, Vol.61, p.1-16

2023

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Learning Collision-Free Space Detection From Stereo Images: Homography Matrix Brings Better Data Augmentation

IEEE/ASME transactions on mechatronics, 2022-02, Vol.27 (1), p.225-233

2022

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IEEE_Xplore

SLAM-OR: Simultaneous Localization, Mapping and Object Recognition Using Video Sensors Data in Open Environments from the Sparse Points Cloud

Sensors (Basel, Switzerland), 2021-07, Vol.21 (14), p.4734

2021

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Automatic optical inspection platform for real-time surface defects detection on plane optical components based on semantic segmentation

Applied optics (2004), 2021-07, Vol.60 (19), p.5496-5506

2021

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Real-Time Semantic Understanding and Segmentation of Urban Scenes for Vehicle Visual Sensors by Optimized DCNN Algorithm

Applied sciences, 2022-08, Vol.12 (15), p.7811

2022

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Spatial–Spectral Feature Refinement for Hyperspectral Image Classification Based on Attention-Dense 3D-2D-CNN

Sensors (Basel, Switzerland), 2020-09, Vol.20 (18), p.5191

2020

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Multi-Stroke Thai Finger-Spelling Sign Language Recognition System with Deep Learning

Symmetry (Basel), 2021-02, Vol.13 (2), p.262

2021

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Fake news stance detection using selective features and FakeNET

PloS one, 2023-07, Vol.18 (7), p.e0287298-e0287298

2023

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Deep-Learning-Based Classification of Point Clouds for Bridge Inspection

Remote sensing (Basel, Switzerland), 2020-11, Vol.12 (22), p.3757

2020

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Meta-Learner Hybrid Models to Classify Hyperspectral Images

Remote sensing (Basel, Switzerland), 2022-02, Vol.14 (4), p.1038

2022

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A Small-Sized Defect Detection Method for Overhead Transmission Lines Based on Convolutional Neural Networks

IEEE transactions on instrumentation and measurement, 2023-01, Vol.72, p.1-1

2023

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IEEE_Xplore

AMFAN: Adaptive Multiscale Feature Attention Network for Hyperspectral Image Classification

IEEE geoscience and remote sensing letters, 2022, Vol.19, p.1-5

2022

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IEEE_Xplore

Shallow-to-Deep Spatial–Spectral Feature Enhancement for Hyperspectral Image Classification

Remote sensing (Basel, Switzerland), 2023-01, Vol.15 (1), p.261

2023

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Deep Learning Using Isotroping, Laplacing, Eigenvalues Interpolative Binding, and Convolved Determinants with Normed Mapping for Large-Scale Image Retrieval

Sensors (Basel, Switzerland), 2021-02, Vol.21 (4), p.1139

2021

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Presentation of a Segmentation Method for a Diabetic Retinopathy Patient’s Fundus Region Detection Using a Convolutional Neural Network

Computational intelligence and neuroscience, 2021, Vol.2021, p.7714351-14

2021

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Spectral-Spatial Feature Tokenization Transformer for Hyperspectral Image Classification

Semi-Supervised Hyperspectral Image Classification via Spatial-Regulated Self-Training

MFANet: A Multi-Level Feature Aggregation Network for Semantic Segmentation of Land Cover

ECNet: Efficient Convolutional Networks for Side Scan Sonar Image Segmentation

Scan2BIM-NET: Deep Learning Method for Segmentation of Point Clouds for Scan-to-BIM

Deep Metric Learning Based on Scalable Neighborhood Components for Remote Sensing Scene Characterization

TCUNet: A Lightweight Dual-Branch Parallel Network for Sea–Land Segmentation in Remote Sensing Images

Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification

Building Instance Change Detection from Large-Scale Aerial Images using Convolutional Neural Networks and Simulated Samples

Patch-Wise Semantic Segmentation for Hyperspectral Images via a Cubic Capsule Network with EMAP Features

A Spectral-Spatial Fusion Transformer Network for Hyperspectral Image Classification

Learning Collision-Free Space Detection From Stereo Images: Homography Matrix Brings Better Data Augmentation

SLAM-OR: Simultaneous Localization, Mapping and Object Recognition Using Video Sensors Data in Open Environments from the Sparse Points Cloud

Automatic optical inspection platform for real-time surface defects detection on plane optical components based on semantic segmentation

Real-Time Semantic Understanding and Segmentation of Urban Scenes for Vehicle Visual Sensors by Optimized DCNN Algorithm

Spatial–Spectral Feature Refinement for Hyperspectral Image Classification Based on Attention-Dense 3D-2D-CNN

Multi-Stroke Thai Finger-Spelling Sign Language Recognition System with Deep Learning

Fake news stance detection using selective features and FakeNET

Deep-Learning-Based Classification of Point Clouds for Bridge Inspection

Meta-Learner Hybrid Models to Classify Hyperspectral Images

A Small-Sized Defect Detection Method for Overhead Transmission Lines Based on Convolutional Neural Networks

AMFAN: Adaptive Multiscale Feature Attention Network for Hyperspectral Image Classification

Shallow-to-Deep Spatial–Spectral Feature Enhancement for Hyperspectral Image Classification

Deep Learning Using Isotroping, Laplacing, Eigenvalues Interpolative Binding, and Convolved Determinants with Normed Mapping for Large-Scale Image Retrieval

Presentation of a Segmentation Method for a Diabetic Retinopathy Patient’s Fundus Region Detection Using a Convolutional Neural Network

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