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A deep learning‐based image captioning method to automatically generate comprehensive explanations of bridge damage

https://doi.org/10.1111/mice.12793
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Microsoft COCO: Common Objects in Context
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Robust Concrete Crack Detection Using Deep Learning-Based Semantic Segmentation
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Autonomous concrete crack detection using deep fully convolutional neural network
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Context-based information generation for managing UAV-acquired data using image captioning
inferredcites →https://doi.org/10.1016/j.autcon.2020.103334openalex-snapshot
Manifesting construction activity scenes via image captioning
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Real-time railroad track components inspection based on the improved YOLOv4 framework
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Random forest-based evaluation technique for internal damage in reinforced concrete featuring multiple nondestructive testing results
inferredcites →https://doi.org/10.1016/j.engstruct.2017.10.070openalex-snapshot
A novel unsupervised deep learning model for global and local health condition assessment of structures
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Recurrent neural network model with Bayesian training and mutual information for response prediction of large buildings
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Semi-active vibration control of smart isolated highway bridge structures using replicator dynamics
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DeepCrack: A deep hierarchical feature learning architecture for crack segmentation
inferredcites →https://doi.org/10.1016/j.neucom.2020.01.006openalex-snapshot
Bidirectional LSTM with self-attention mechanism and multi-channel features for sentiment classification
inferredcites →https://doi.org/10.1016/j.patcog.2019.107075openalex-snapshot
Learning visual relationship and context-aware attention for image captioning
inferredcites →https://doi.org/10.1016/j.tust.2018.04.002openalex-snapshot
Deep learning based image recognition for crack and leakage defects of metro shield tunnel
inferredcites →https://doi.org/10.1016/j.ymssp.2020.107077openalex-snapshot
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
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Detection of structural damage through changes in frequency: a review
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Novel Machine-Learning Model for Estimating Construction Costs Considering Economic Variables and Indexes
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Innovative technologies for infrastructure construction and maintenance through collaborative robots based on an open design approach
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ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2015.7298935openalex-snapshot
Show and tell: A neural image caption generator
inferredcites →https://doi.org/10.1109/cvpr.2016.274openalex-snapshot
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
inferredcites →https://doi.org/10.1109/cvpr.2016.308openalex-snapshot
Rethinking the Inception Architecture for Computer Vision
inferredcites →https://doi.org/10.1109/cvpr.2016.494openalex-snapshot
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
inferredcites →https://doi.org/10.1109/cvpr.2017.131openalex-snapshot
Self-Critical Sequence Training for Image Captioning
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01034openalex-snapshot
Normalized and Geometry-Aware Self-Attention Network for Image Captioning
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01059openalex-snapshot
Meshed-Memory Transformer for Image Captioning
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01098openalex-snapshot
X-Linear Attention Networks for Image Captioning
inferredcites →https://doi.org/10.1109/iccv.2017.323openalex-snapshot
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inferredcites →https://doi.org/10.1109/tmech.2021.3106867openalex-snapshot
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inferredcites →https://doi.org/10.1111/mice.12367openalex-snapshot
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inferredcites →https://doi.org/10.1111/mice.12387openalex-snapshot
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inferredcites →https://doi.org/10.1111/mice.12425openalex-snapshot
Image-based post-disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization
inferredcites →https://doi.org/10.1111/mice.12497openalex-snapshot
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inferredcites →https://doi.org/10.1111/mice.12501openalex-snapshot
Image-based crack assessment of bridge piers using unmanned aerial vehicles and three-dimensional scene reconstruction
inferredcites →https://doi.org/10.1111/mice.12519openalex-snapshot
Real-time crack assessment using deep neural networks with wall-climbing unmanned aerial system
inferredcites →https://doi.org/10.1111/mice.12532openalex-snapshot
Applicability of machine learning to a crack model in concrete bridges
inferredcites →https://doi.org/10.1111/mice.12550openalex-snapshot
Automated crack evaluation of a high‐rise bridge pier using a ring‐type climbing robot
inferredcites →https://doi.org/10.1111/mice.12561openalex-snapshot
Generative adversarial network for road damage detection
inferredcites →https://doi.org/10.1111/mice.12563openalex-snapshot
Recognition of rust grade and rust ratio of steel structures based on ensembled convolutional neural network
inferredcites →https://doi.org/10.1111/mice.12564openalex-snapshot
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inferredcites →https://doi.org/10.1111/mice.12580openalex-snapshot
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inferredcites →https://doi.org/10.1111/mice.12622openalex-snapshot
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inferredcites →https://doi.org/10.1111/mice.12626openalex-snapshot
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inferredcites →https://doi.org/10.1111/mice.12674openalex-snapshot
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inferredcites →https://doi.org/10.1111/mice.12686openalex-snapshot
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inferredcites →https://doi.org/10.1177/1475921703036169openalex-snapshot
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inferredcites →https://doi.org/10.1201/9781482289008openalex-snapshot
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inferredcites →https://doi.org/10.12989/cac.2018.21.4.407openalex-snapshot
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inferredcites →https://doi.org/10.12989/scs.2017.24.5.635openalex-snapshot
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inferredcites →https://doi.org/10.14359/51689560openalex-snapshot
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inferredcites →https://doi.org/10.1609/aaai.v31i1.11197openalex-snapshot
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inferredcites →https://doi.org/10.1613/jair.3994openalex-snapshot
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inferredcites →https://doi.org/10.1617/s11527-021-01646-5openalex-snapshot
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inferredcites →https://doi.org/10.20965/jrm.2020.p1244openalex-snapshot
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inferredcites →https://doi.org/10.3115/1073083.1073135openalex-snapshot
BLEU
inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
inferredcites →https://doi.org/10.3151/jact.18.493openalex-snapshot
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inferredcites →https://doi.org/10.3390/app11030892openalex-snapshot
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inferredcites →https://doi.org/10.3390/met9121259openalex-snapshot
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inferredcites →https://doi.org/10.3390/s20092710openalex-snapshot
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inferredcites →https://doi.org/10.3390/s20102780openalex-snapshot
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inferredcites →https://doi.org/10.3846/jcem.2018.6186openalex-snapshot
INFRARED THERMOGRAPHY FOR DETECTING DEFECTS IN CONCRETE STRUCTURES
inferredcites →https://doi.org/10.48550/arxiv.1502.03044openalex-snapshot
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
inferredcites →https://doi.org/10.48550/arxiv.1801.09454openalex-snapshot
Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone
inferredcites →https://doi.org/10.5006/3674openalex-snapshot
Thinning Evaluation of Steel Plates for Weathering Tests Based on Convolutional Neural Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Prompt engineering for zero‐shot and few‐shot defect detection and classification using a visual‐language pretrained model
inferred← citeshttps://doi.org/10.1111/mice.12970openalex-snapshot
Transformer‐optimized generation, detection, and tracking network for images with drainage pipeline defects
inferred← citeshttps://doi.org/10.1111/mice.12971openalex-snapshot
Recording of bridge damage areas by 3D integration of multiple images and reduction of the variability in detected results
inferred← citeshttps://doi.org/10.1111/mice.13000openalex-snapshot
Modeling nonlinear flutter behavior of long‐span bridges using knowledge‐enhanced long short‐term memory network
inferred← citeshttps://doi.org/10.1111/mice.13043openalex-snapshot
Crack identification using electrical impedance tomography and transfer learning
inferred← citeshttps://doi.org/10.1111/mice.13050openalex-snapshot
A vision monitoring system for multipoint deflection of large‐span bridge based on camera networking
inferred← citeshttps://doi.org/10.1111/mice.13067openalex-snapshot
Multiattribute multitask transformer framework for vision‐based structural health monitoring
inferred← citeshttps://doi.org/10.1111/mice.13070openalex-snapshot
Iterative application of generative adversarial networks for improved buried pipe detection from images obtained by ground‐penetrating radar
inferred← citeshttps://doi.org/10.1111/mice.13079openalex-snapshot
Prestressing wire breakage monitoring using sound event detection
inferred← citeshttps://doi.org/10.1111/mice.13086openalex-snapshot
Improving visual question answering for bridge inspection by pre‐training with external data of image–text pairs
inferred← citeshttps://doi.org/10.1111/mice.13097openalex-snapshot
Intelligent recognition of joints and fissures in tunnel faces using an improved mask region‐based convolutional neural network algorithm
inferred← citeshttps://doi.org/10.1111/mice.13109openalex-snapshot
Intelligent recognition of defects in high‐speed railway slab track with limited dataset
inferred← citeshttps://doi.org/10.1111/mice.13110openalex-snapshot
Image quality evaluation method for surface crack detection based on standard test chart
inferred← citeshttps://doi.org/10.1111/mice.13111openalex-snapshot
Fine‐grained crack segmentation for high‐resolution images via a multiscale cascaded network
inferred← citeshttps://doi.org/10.1111/mice.13117openalex-snapshot
Deep learning‐based automatic classification of three‐level surface information in bridge inspection
inferred← citeshttps://doi.org/10.1111/mice.13133openalex-snapshot
High‐resolution model reconstruction and bridge damage detection based on data fusion of unmanned aerial vehicles light detection and ranging data imagery
inferred← citeshttps://doi.org/10.1111/mice.13191openalex-snapshot
Autoencoder‐based method to assess bridge health monitoring data quality
inferred← citeshttps://doi.org/10.1111/mice.13224openalex-snapshot
Earthquake damage detection and level classification method for wooden houses based on convolutional neural networks and onsite photos
inferred← citeshttps://doi.org/10.1111/mice.13241openalex-snapshot
Attention‐optimized 3D segmentation and reconstruction system for sewer pipelines employing multi‐view images
inferred← citeshttps://doi.org/10.1111/mice.13279openalex-snapshot
Railroad missing components detection via cascade region‐based convolutional neural network with predefined proposal templates
inferred← citeshttps://doi.org/10.1111/mice.13315openalex-snapshot
Self‐training with Bayesian neural networks and spatial priors for unsupervised domain adaptation in crack segmentation
inferred← citeshttps://doi.org/10.1111/mice.13366openalex-snapshot
Damage‐level classification considering both correlation between image and text data and confidence of attention map
inferred← citeshttps://doi.org/10.1111/mice.13406openalex-snapshot
Infrared thermography and 3D pavement surface unevenness measurement algorithm for damage assessment of concrete bridge decks
inferred← citeshttps://doi.org/10.1111/mice.13422openalex-snapshot
A structure‐oriented loss function for automated semantic segmentation of bridge point clouds
inferred← citeshttps://doi.org/10.1111/mice.13470openalex-snapshot
Bridge damage identification using a small amount of damage labeling data
inferred← citeshttps://doi.org/10.1111/mice.13482openalex-snapshot
Multimodal artificial intelligence approaches using large language models for expert‐level landslide image analysis
inferred← citeshttps://doi.org/10.1111/mice.70010openalex-snapshot
Large language model for post‐earthquake structural damage assessment of buildings
inferred← citeshttps://doi.org/10.1111/mice.70129openalex-snapshot
Training‐free few‐shot construction tool and material detection using pre‐trained vision‐language model
inferred← citeshttps://doi.org/10.1111/mice.70131openalex-snapshot
Inspector gaze‐guided multitask learning for explainable structural damage assessment
inferred← citeshttps://doi.org/10.1111/mice.70145openalex-snapshot
From pixels to rating—A semiautomated system linking multi‐damage segmentation and condition rating in concrete bridge inspections
inferred← citeshttps://doi.org/10.1117/12.2692213openalex-snapshot
Scene understanding pipeline for maintenance oriented tasks automation
inferred← citeshttps://doi.org/10.1142/s0129065724500230openalex-snapshot
An Asynchronous Spiking Neural Membrane System for Edge Detection
inferred← citeshttps://doi.org/10.1155/stc/5119714openalex-snapshot
Utilizing Machine Learning for Ultrasonic Time–Frequency Spectrogram Recognition, Diagnosis, and Prediction of Concrete Damage Layer Thickness Under Freeze–Thaw Cycles
inferred← citeshttps://doi.org/10.1155/stc/8870840openalex-snapshot
A Review: Research Progress in Bridge Structural Health Monitoring From the Perspective of AI Development
inferred← citeshttps://doi.org/10.1177/03611981241230546openalex-snapshot
Edge-Computing Oriented Real-Time Missing Track Components Detection
inferred← citeshttps://doi.org/10.1177/10692509241301240openalex-snapshot
Attention-based hybrid convolutional-long short-term memory network for bridge pier hysteresis and backbone curves prediction
inferred← citeshttps://doi.org/10.1177/13694332241298017openalex-snapshot
Bridge component segmentation for health monitoring an enhanced DeepLabV3+ model with lightweight network and multi-scale channel attention mechanism
inferred← citeshttps://doi.org/10.1177/13694332251381220openalex-snapshot
State-of-the-art review of machine learning applications for bridge inspections
inferred← citeshttps://doi.org/10.1177/14727978241299232openalex-snapshot
Automatic image generation based on deep learning long short-term memory network
inferred← citeshttps://doi.org/10.1177/14759217221139730openalex-snapshot
A lightweight deep learning network based on knowledge distillation for applications of efficient crack segmentation on embedded devices
inferred← citeshttps://doi.org/10.1177/14759217251344171openalex-snapshot
Automatic detection and evaluation of multitype surface defects in metro tunnels based on mobile laser scanning
inferred← citeshttps://doi.org/10.17341/gazimmfd.1245400openalex-snapshot
Görme engelliler için nesne tanıma ve resim altyazısını derin öğrenme teknikleriyle entegre eden verimli bir aktivite tanıma modeli
inferred← citeshttps://doi.org/10.20965/jrm.2024.p0353openalex-snapshot
Automatic Findings Generation for Distress Images Using In-Context Few-Shot Learning of Visual Language Model Based on Image Similarity and Text Diversity
inferred← citeshttps://doi.org/10.2139/ssrn.5380392openalex-snapshot
Classification and Information Extraction of Road Crack Images Based on Multimodal Large Language Models
inferred← citeshttps://doi.org/10.2139/ssrn.6963422openalex-snapshot
Hierarchical Federated Learning with Dynamic Clustering and Adaptive Regularization for Robust Infrastructure Inspection
inferred← citeshttps://doi.org/10.21660/2024.122.g13142openalex-snapshot
ENSEMBLE LEARNING-BASED AUTOMATIC DETECTION OF LANDSLIDE AREAS FROM AERIAL PHOTOGRAPHS
inferred← citeshttps://doi.org/10.2749/tokyo.2025.2934openalex-snapshot
Bridge Condition Assessment and Modelling Based on Images and Digital Twins
inferred← citeshttps://doi.org/10.3151/coj.62.9_732openalex-snapshot
AI-Driven 3D Digital Twins for Smart Cities
inferred← citeshttps://doi.org/10.3233/ica-240734openalex-snapshot
A spatio-temporal fusion deep learning network with application to lightning nowcasting
inferred← citeshttps://doi.org/10.32604/cmc.2024.047822openalex-snapshot
Enhancing Image Description Generation through Deep Reinforcement Learning: Fusing Multiple Visual Features and Reward Mechanisms
inferred← citeshttps://doi.org/10.32604/csse.2023.035529openalex-snapshot
Red Deer Optimization with Artificial Intelligence Enabled Image Captioning System for Visually Impaired People
inferred← citeshttps://doi.org/10.33022/ijcs.v13i3.4012openalex-snapshot
Image Captioning untuk Gambar Rambu Lalu Lintas Indonesia Menggunakan Pretrained CNN dan Transformer
inferred← citeshttps://doi.org/10.3390/app13137916openalex-snapshot
Bi-LS-AttM: A Bidirectional LSTM and Attention Mechanism Model for Improving Image Captioning
inferred← citeshttps://doi.org/10.3390/app16073226openalex-snapshot
Image Captioning Through Deep Learning: An Adaptation of the BLIP-2 Model to Arabic
inferred← citeshttps://doi.org/10.3390/buildings12101742openalex-snapshot
Maturity Assessment of Intelligent Construction Management
inferred← citeshttps://doi.org/10.3390/electronics11203335openalex-snapshot
Deep Learning Reader for Visually Impaired
inferred← citeshttps://doi.org/10.3390/eng5030103openalex-snapshot
Automated Concrete Bridge Deck Inspection Using Unmanned Aerial System (UAS)-Collected Data: A Machine Learning (ML) Approach
inferred← citeshttps://doi.org/10.3390/s22093340openalex-snapshot
Corroded Bolt Identification Using Mask Region-Based Deep Learning Trained on Synthesized Data
inferred← citeshttps://doi.org/10.3390/s22176412openalex-snapshot
Study on Accuracy Improvement of Slope Failure Region Detection Using Mask R-CNN with Augmentation Method
inferred← citeshttps://doi.org/10.3390/su151410793openalex-snapshot
Surrogate Model Development for Slope Stability Analysis Using Machine Learning
inferred← citeshttps://doi.org/10.46299/isg.2023.1.23openalex-snapshot
Proceedings of the XXIII International Scientific and Practical Conference
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.