Research graph
References from Deep learning-based detection of construction waste in complex scenarios with an improved lightweight algorithm. Local targets link to admitted publications; unresolved targets remain external evidence.
Thermoactivated cement from construction and demolition waste for pavement base stabilization: A case study in Brazil
10.1177/0734242x241227370 · 2025 · External reference
Environmental feasibility and implications in using recycled construction and demolition waste aggregates in road construction based on leaching and life cycle assessment – A state-of-the-art review
10.1016/j.clema.2024.100239 · 2024 · External reference
Spatial Distribution and Elements of Industrial Agglomeration of Construction and Demolition Waste Disposal Facility: A Case Study of 12 Cities in China
10.3390/buildings15040617 · 2025 · External reference
Object Detection for Construction Waste Based on an Improved YOLOv5 Model
10.3390/su15010681 · 2023 · External reference
Real-time construction demolition waste detection using state-of-the-art deep learning methods; single-stage vs two-stage detectors
10.1016/j.wasman.2023.05.039 · 2023 · External reference
Computer Vision Based Two-stage Waste Recognition-Retrieval Algorithm for Waste Classification
10.1016/j.resconrec.2021.105543 · 2021 · External reference
A Two-Stage Deep Learning Framework for Enhanced Waste Detection and Classification.
10.1109/icmla58977.2023.00304 · 2023 · External reference
Automatic Detection and Classification System of Domestic Waste via Multimodel Cascaded Convolutional Neural Network
10.1109/tii.2021.3085669 · 2022 · External reference
Waste classification using vision transformer based on multilayer hybrid convolution neural network
10.1016/j.uclim.2023.101483 · 2023 · External reference
Small Visual Object Detection in Smart Waste Classification Using Transformers with Deep Learning.
2022 · External reference
ShARP-WasteSeg: A shape-aware approach to real-time segmentation of recyclables from cluttered construction and demolition waste
10.1016/j.wasman.2025.02.006 · 2025 · External reference
FE-YOLO: A Lightweight Model for Construction Waste Detection Based on Improved YOLOv8 Model
10.3390/buildings14092672 · 2024 · External reference
Focus-RCNet: a lightweight recyclable waste classification algorithm based on focus and knowledge distillation
10.1186/s42492-023-00146-3 · 2023 · External reference
Deep learning-based image processing framework for efficient surface litter detection in Computer Vision applications
2025 · External reference
10.1109/iros58592.2024.10801797
10.1109/iros58592.2024.10801797 · External reference
Deep multimodal learning for municipal solid waste sorting
10.1007/s11431-021-1927-9 · 2021 · External reference
A benchmark dataset for class-wise segmentation of construction and demolition waste in cluttered environments
10.1038/s41597-025-05243-x · 2025 · External reference
Hierarchical waste detection with weakly supervised segmentation in images from recycling plants
10.1016/j.engappai.2023.107542 · 2024 · External reference
Deep learning-based waste detection in natural and urban environments
10.1016/j.wasman.2021.12.001 · 2022 · External reference
CODD: A benchmark dataset for the automated sorting of construction and demolition waste
10.1016/j.wasman.2024.02.017 · 2024 · External reference
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Unresolved reference
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Unresolved reference
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10.1109/cvpr.2018.00745
10.1109/cvpr.2018.00745 · External reference
10.1109/cvpr42600.2020.01104
10.1109/cvpr42600.2020.01104 · External reference
10.1109/iccv.2017.89
10.1109/iccv.2017.89 · External reference
10.1109/cvpr.2019.00953
10.1109/cvpr.2019.00953 · External reference
Unresolved reference
External reference
10.1109/cvpr52729.2023.00995
10.1109/cvpr52729.2023.00995 · External reference
10.1109/iccv.2019.00667
10.1109/iccv.2019.00667 · External reference
10.1109/cvpr42600.2020.01155
10.1109/cvpr42600.2020.01155 · External reference
SegNextt: Rethinking convolutional attention design for semantic segmentation.
2022 · External reference
10.1109/cvpr.2019.00326
10.1109/cvpr.2019.00326 · External reference
10.1109/iccv48922.2021.00986
10.1109/iccv48922.2021.00986 · External reference
Hybrid Convolutional and Attention Network for Hyperspectral Image Denoising
10.1109/lgrs.2024.3370299 · 2024 · External reference
AGCA: An Adaptive Graph Channel Attention Module for Steel Surface Defect Detection
10.1109/tim.2023.3248111 · 2023 · External reference
10.1109/iccv48922.2021.00349
10.1109/iccv48922.2021.00349 · External reference
10.1109/cvpr42600.2020.00165
10.1109/cvpr42600.2020.00165 · External reference
Unresolved reference
External reference
Deep multimodal learning for municipal solid waste sorting
10.1007/s11431-021-1927-9 · ExternalCitation · doi-reference
Environmental feasibility and implications in using recycled construction and demolition waste aggregates in road construction based on leaching and life cycle assessment – A state-of-the-art review
10.1016/j.clema.2024.100239 · ExternalCitation · doi-reference
Hierarchical waste detection with weakly supervised segmentation in images from recycling plants
10.1016/j.engappai.2023.107542 · ExternalCitation · doi-reference
Computer Vision Based Two-stage Waste Recognition-Retrieval Algorithm for Waste Classification
10.1016/j.resconrec.2021.105543 · ExternalCitation · doi-reference
Waste classification using vision transformer based on multilayer hybrid convolution neural network
10.1016/j.uclim.2023.101483 · ExternalCitation · doi-reference
Deep learning-based waste detection in natural and urban environments
10.1016/j.wasman.2021.12.001 · ExternalCitation · doi-reference
Real-time construction demolition waste detection using state-of-the-art deep learning methods; single-stage vs two-stage detectors
10.1016/j.wasman.2023.05.039 · ExternalCitation · doi-reference
CODD: A benchmark dataset for the automated sorting of construction and demolition waste
10.1016/j.wasman.2024.02.017 · ExternalCitation · doi-reference
ShARP-WasteSeg: A shape-aware approach to real-time segmentation of recyclables from cluttered construction and demolition waste
10.1016/j.wasman.2025.02.006 · ExternalCitation · doi-reference
A benchmark dataset for class-wise segmentation of construction and demolition waste in cluttered environments
10.1038/s41597-025-05243-x · ExternalCitation · doi-reference
10.1109/cvpr.2018.00745
10.1109/cvpr.2018.00745 · ExternalCitation · doi-reference
10.1109/cvpr.2019.00326
10.1109/cvpr.2019.00326 · ExternalCitation · doi-reference
10.1109/cvpr.2019.00953
10.1109/cvpr.2019.00953 · ExternalCitation · doi-reference
10.1109/cvpr42600.2020.00165
10.1109/cvpr42600.2020.00165 · ExternalCitation · doi-reference
10.1109/cvpr42600.2020.01104
10.1109/cvpr42600.2020.01104 · ExternalCitation · doi-reference
10.1109/cvpr42600.2020.01155
10.1109/cvpr42600.2020.01155 · ExternalCitation · doi-reference
10.1109/cvpr52729.2023.00995
10.1109/cvpr52729.2023.00995 · ExternalCitation · doi-reference
10.1109/iccv.2017.89
10.1109/iccv.2017.89 · ExternalCitation · doi-reference
10.1109/iccv.2019.00667
10.1109/iccv.2019.00667 · ExternalCitation · doi-reference
10.1109/iccv48922.2021.00349
10.1109/iccv48922.2021.00349 · ExternalCitation · doi-reference
10.1109/iccv48922.2021.00986
10.1109/iccv48922.2021.00986 · ExternalCitation · doi-reference
A Two-Stage Deep Learning Framework for Enhanced Waste Detection and Classification.
10.1109/icmla58977.2023.00304 · ExternalCitation · doi-reference
10.1109/iros58592.2024.10801797
10.1109/iros58592.2024.10801797 · ExternalCitation · doi-reference
Hybrid Convolutional and Attention Network for Hyperspectral Image Denoising
10.1109/lgrs.2024.3370299 · ExternalCitation · doi-reference
Automatic Detection and Classification System of Domestic Waste via Multimodel Cascaded Convolutional Neural Network
10.1109/tii.2021.3085669 · ExternalCitation · doi-reference
AGCA: An Adaptive Graph Channel Attention Module for Steel Surface Defect Detection
10.1109/tim.2023.3248111 · ExternalCitation · doi-reference
Thermoactivated cement from construction and demolition waste for pavement base stabilization: A case study in Brazil
10.1177/0734242x241227370 · ExternalCitation · doi-reference
Focus-RCNet: a lightweight recyclable waste classification algorithm based on focus and knowledge distillation
10.1186/s42492-023-00146-3 · ExternalCitation · doi-reference
FE-YOLO: A Lightweight Model for Construction Waste Detection Based on Improved YOLOv8 Model
10.3390/buildings14092672 · ExternalCitation · doi-reference
Spatial Distribution and Elements of Industrial Agglomeration of Construction and Demolition Waste Disposal Facility: A Case Study of 12 Cities in China
10.3390/buildings15040617 · ExternalCitation · doi-reference
Object Detection for Construction Waste Based on an Improved YOLOv5 Model
10.3390/su15010681 · ExternalCitation · doi-reference
