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Underwater Object Classification in Sidescan Sonar Images Using Deep Transfer Learning and Semisynthetic Training Data
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Three-Class Markovian Segmentation of High-Resolution Sonar Images
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A Comparison of the Deep Learning Methods for Solving Seafloor Image Classification Task
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Comparison of Learned versus Engineered Features for Classification of Mine Like Objects from Raw Sonar Images
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The Fréchet distance between multivariate normal distributions
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Sonar image segmentation based on GMRF and level-set models
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Distinctive Image Features from Scale-Invariant Keypoints
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A 3D simulator for the design and evaluation of sonar system instrumentation
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Simulation of backscattering of high frequency sound from complex objects and sand sea-bottom
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Gradient-based learning applied to document recognition
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Sonar image segmentation using an unsupervised hierarchical MRF model
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Sediment Classification of Small-Size Seabed Acoustic Images Using Convolutional Neural Networks
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Automatic Habitat Mapping using Convolutional Neural Networks
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Deep learning feature extraction for target recognition and classification in underwater sonar images
inferredcites →https://doi.org/10.1109/cvpr.2014.222openalex-snapshot
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot
Fully convolutional networks for semantic segmentation
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Deep Residual Learning for Image Recognition
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You Only Look Once: Unified, Real-Time Object Detection
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Simultaneous Deep Transfer Across Domains and Tasks
inferredcites →https://doi.org/10.1109/icdsp.2016.7868522openalex-snapshot
Deep learning-based recognition of underwater target
inferredcites →https://doi.org/10.1109/icip.2017.8296850openalex-snapshot
Densely connected deconvolutional network for semantic segmentation
inferredcites →https://doi.org/10.1109/icpr.2016.7900011openalex-snapshot
Underwater target classification in synthetic aperture sonar imagery using deep convolutional neural networks
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Adaptation of a partial shape recognition approach
inferredcites →https://doi.org/10.1109/joe.2002.808199openalex-snapshot
An automatic approach to the detection and extraction of mine features in sidescan sonar
inferredcites →https://doi.org/10.1109/joe.2007.893683openalex-snapshot
Sidescan Sonar Segmentation Using Texture Descriptors and Active Contours
inferredcites →https://doi.org/10.1109/joe.2011.2107250openalex-snapshot
A Novel Method for Sidescan Sonar Image Segmentation
inferredcites →https://doi.org/10.1109/joe.2013.2291634openalex-snapshot
Semisynthetic Versus Real-World Sonar Training Data for the Classification of Mine-Like Objects
inferredcites →https://doi.org/10.1109/joe.2014.2356951openalex-snapshot
Accumulated CA–CFAR Process in 2-D for Online Object Detection From Sidescan Sonar Data
inferredcites →https://doi.org/10.1109/joe.2015.2408471openalex-snapshot
A Brain–Computer Interface (BCI) for the Detection of Mine-Like Objects in Sidescan Sonar Imagery
inferredcites →https://doi.org/10.1109/jsen.2015.2496945openalex-snapshot
Robust Sonar-Based Underwater Object Recognition Against Angle-of-View Variation
inferredcites →https://doi.org/10.1109/jsen.2018.2886368openalex-snapshot
Convolutional Neural Network With Second-Order Pooling for Underwater Target Classification
inferredcites →https://doi.org/10.1109/jsen.2019.2912325openalex-snapshot
A Statistically-Based Method for the Detection of Underwater Objects in Sonar Imagery
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Mine Classification With Imbalanced Data
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A Template Matching Procedure for Automatic Target Recognition in Synthetic Aperture Sonar Imagery
inferredcites →https://doi.org/10.1109/mgrs.2017.2762307openalex-snapshot
Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
inferredcites →https://doi.org/10.1109/oceans.2018.8604879openalex-snapshot
A Deep Learning Approach to Target Recognition in Side-Scan Sonar Imagery
inferredcites →https://doi.org/10.1109/oceanse.2017.8084910openalex-snapshot
Deep learning applied to underwater mine warfare
inferredcites →https://doi.org/10.1109/siprocess.2018.8600472openalex-snapshot
Underwater object Images Classification Based on Convolutional Neural Network
inferredcites →https://doi.org/10.1109/tcyb.2016.2530786openalex-snapshot
A Robust and Fast Method for Sidescan Sonar Image Segmentation Using Nonlocal Despeckling and Active Contour Model
inferredcites →https://doi.org/10.1109/tpami.2005.188openalex-snapshot
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inferredcites →https://doi.org/10.1109/tpami.2015.2437384openalex-snapshot
Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/tpami.2017.2656884openalex-snapshot
Unsupervised Transfer Learning via Multi-Scale Convolutional Sparse Coding for Biomedical Applications
inferredcites →https://doi.org/10.1117/1.601325openalex-snapshot
Application of optical ray tracking techniques to the simulation of sonar images
inferredcites →https://doi.org/10.1117/12.280846openalex-snapshot
Automated detection and classification of sea mines in sonar imagery
inferredcites →https://doi.org/10.1121/1.1350400openalex-snapshot
Modeling of high-frequency scattering from objects using a hybrid Kirchhoff/diffraction approach
inferredcites →https://doi.org/10.1121/1.1600726openalex-snapshot
Evaluation of the integrals of target/seabed scattering using the method of complex images
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
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A Fast Learning Algorithm for Deep Belief Nets
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Deep Forest: Towards An Alternative to Deep Neural Networks
inferredcites →https://doi.org/10.25144/20162openalex-snapshot
A MODEL FOR THE SIMULATION OF SIDESCAN SONAR
inferredcites →https://doi.org/10.3390/rs11050531openalex-snapshot
Automatic Ship Detection Based on RetinaNet Using Multi-Resolution Gaofen-3 Imagery
inferredcites →https://doi.org/10.3390/rs11070765openalex-snapshot
A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds
inferredcites →https://doi.org/10.3390/s18092929openalex-snapshot
Ship Classification in High-Resolution SAR Images Using Deep Learning of Small Datasets
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1411.1792openalex-snapshot
How transferable are features in deep neural networks?
inferredcites →https://doi.org/10.48550/arxiv.1602.04433openalex-snapshot
Unsupervised Domain Adaptation with Residual Transfer Networks
inferredcites →https://doi.org/10.48550/arxiv.1706.08500openalex-snapshot
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Survey on Deep Learning Techniques Used for Classification of Underwater Sonar Images
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A Review: Object Detection and Classification Using Side Scan Sonar Images via Deep Learning Techniques
inferred← citeshttps://doi.org/10.1007/978-3-031-78444-6_15openalex-snapshot
S3Simulator: A Benchmarking Side Scan Sonar Simulator Dataset for Underwater Image Analysis
inferred← citeshttps://doi.org/10.1007/978-3-032-11381-8_43openalex-snapshot
Large-Scale Synthetic Side-Scan Sonar Dataset Generation and Super-Resolution Enhancement for Underwater Mine Detection
inferred← citeshttps://doi.org/10.1007/978-3-032-11442-6_12openalex-snapshot
Evaluation of Explanations for Object Detection Using Transformers with Sonar Data
inferred← citeshttps://doi.org/10.1007/978-3-032-15407-1_27openalex-snapshot
FPGA Implementation of K-Means and K-Medoids Clustering Algorithms for Side Scan Sonar Image Segmentation
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Synthetic Sonar Image Augmentation Using GANs for Improved Mine Detection
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From Masks to Images: Mask-Conditional Diffusion for Realistic Synthetic SSS Data
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Haze Identification and Classification Model for Haze Removal Techniques
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Multiresolution Representation of SONAR Pipeline Image Using Pyramidal Transforms
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Enhanced Sonar Scan Image Detection and Classification with a Modified YOLOv8-x Algorithm
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FSONet: Side-Scan Sonar Image Recognition Based on Feature Space Optimization
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SONAR Based Under Water Mine Detection Using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1109/icist55546.2022.9926829openalex-snapshot
Sonar Target Detection Based on a Dual Channel Attention Convolutional Network
inferred← citeshttps://doi.org/10.1109/icmail59311.2023.10347548openalex-snapshot
Substrate and Macroalgae Instance Segmentation Based on Deep Learning with Background Filter
inferred← citeshttps://doi.org/10.1109/icngis54955.2022.10079859openalex-snapshot
An Abridged Review of Transfer Learning Technology
inferred← citeshttps://doi.org/10.1109/icoias53694.2021.00016openalex-snapshot
Underwater Sonar Image Segmentation Based on Deep Learning of Receptive Field Block and Search Attention Mechanism
inferred← citeshttps://doi.org/10.1109/icsmdi57622.2023.00051openalex-snapshot
Extracting Information and Size Prediction of Objects in Underwater Images using Image Processing Technique
inferred← citeshttps://doi.org/10.1109/icsp58490.2023.10248702openalex-snapshot
Image Segmentation of underwater side-scan Sonar under Long-Tail Distribution
inferred← citeshttps://doi.org/10.1109/ictis68762.2025.11215028openalex-snapshot
PAGAN: A Parrel Attention Generative Adversarial Network for Underwater Sonar Image Super-Resolution
inferred← citeshttps://doi.org/10.1109/icus52573.2021.9641489openalex-snapshot
Underwater Object Detection based on YOLO-v3 network
inferred← citeshttps://doi.org/10.1109/iecon51785.2023.10312168openalex-snapshot
Super-Resolution of Underwater Sonar Image Based on Generative Adversarial Network
inferred← citeshttps://doi.org/10.1109/ipec54454.2022.9777304openalex-snapshot
Sonar Image Segmentation Based on BP Neural Network Optimized by Genetic Algorithm
inferred← citeshttps://doi.org/10.1109/iscipt67144.2025.11265530openalex-snapshot
UPDA: A Dual-Branch Framework for Open-Set Sonar Image Recognition
inferred← citeshttps://doi.org/10.1109/itaic58329.2023.10408820openalex-snapshot
EDRNet: A Lightweight Underwater Sonar Target Detection Model Based on an Efficient De-Redundancy Network
inferred← citeshttps://doi.org/10.1109/itaic58329.2023.10408950openalex-snapshot
Prototype Relation Embedding and Contrastive Learning for Improved Few-Shot Object Detection in Sonar Images
inferred← citeshttps://doi.org/10.1109/jiot.2026.3661194openalex-snapshot
Underwater Image Transmission System Based on Joint Coding Constellation Mapping and Hybrid-Driven OFDM Receiver
inferred← citeshttps://doi.org/10.1109/joe.2022.3152863openalex-snapshot
Target Detection and Segmentation in Circular-Scan Synthetic Aperture Sonar Images Using Semisupervised Convolutional Encoder–Decoders
inferred← citeshttps://doi.org/10.1109/joe.2022.3194899openalex-snapshot
Neural Network Normal Estimation and Bathymetry Reconstruction From Sidescan Sonar
inferred← citeshttps://doi.org/10.1109/joe.2022.3220330openalex-snapshot
Bathymetric Reconstruction From Sidescan Sonar With Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/joe.2022.3221127openalex-snapshot
Transfer Learning and Few-Shot Learning Based Deep Neural Network Models for Underwater Sonar Image Classification With a Few Samples
inferred← citeshttps://doi.org/10.1109/joe.2025.3531933openalex-snapshot
Sonar-Based Deep Learning in Underwater Robotics: Overview, Robustness, and Challenges
inferred← citeshttps://doi.org/10.1109/joe.2025.3535597openalex-snapshot
A New Active Sonar Detector Based on Beamformed Deep Neural Network
inferred← citeshttps://doi.org/10.1109/joe.2025.3637600openalex-snapshot
PingCNN: A Low-Latent and Low-Cost Network for Mine Detection in Side Scan Sonar Signal
inferred← citeshttps://doi.org/10.1109/joe.2025.3638526openalex-snapshot
Attention-Enhanced U-Net for Finding Drowned Victims Underwater Using Sonar Equipment
inferred← citeshttps://doi.org/10.1109/jsen.2021.3112164openalex-snapshot
A Multi-Feature Compression and Fusion Strategy of Vertical Self-Contained Hydrophone Array
inferred← citeshttps://doi.org/10.1109/jsen.2023.3324438openalex-snapshot
Deep Learning Algorithms for Sonar Imagery Analysis and Its Application in Aquaculture: A Review
inferred← citeshttps://doi.org/10.1109/jsen.2024.3356712openalex-snapshot
Sonar Image Coarse-to-Fine Few-Shot Segmentation Based on Object-Shadow Feature Pair Localization and Level Set Method
inferred← citeshttps://doi.org/10.1109/jsen.2024.3375372openalex-snapshot
NAS-MFF: NAS-Guided Multiscale Feature Fusion Network With Pareto Optimization for Sonar Images Classification
inferred← citeshttps://doi.org/10.1109/jsen.2025.3562927openalex-snapshot
Enhancing Fish Counting in Sonar Images With Multitask Learning and Local–Global Feature Interaction
inferred← citeshttps://doi.org/10.1109/jsen.2025.3591793openalex-snapshot
Small-Sample Image Classification for Synthetic Aperture Sonar Based on Super-Resolution Reconstruction and Improved Self-Supervised Contrastive Learning
inferred← citeshttps://doi.org/10.1109/jstars.2021.3107853openalex-snapshot
Deep-Sea Debris Identification Using Deep Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/jstars.2023.3266383openalex-snapshot
RPFNet: Recurrent Pyramid Frequency Feature Fusion Network for Instance Segmentation in Side-Scan Sonar Images
inferred← citeshttps://doi.org/10.1109/jstars.2023.3292327openalex-snapshot
SSS Underwater Target Image Samples Augmentation Based on the Cross-Domain Mapping Relationship of Images of the Same Physical Object
inferred← citeshttps://doi.org/10.1109/jstars.2026.3686869openalex-snapshot
Deep Learning Methods for Sonar Image Despeckling: Advances and Challenges
inferred← citeshttps://doi.org/10.1109/lcomm.2025.3532258openalex-snapshot
Feature Contrastive Transfer Learning for Few-Shot Long-Tail Sonar Image Classification
inferred← citeshttps://doi.org/10.1109/oceans47191.2022.9977167openalex-snapshot
Overview and Practical Evaluation of Sonar-Based Collision Avoidance Approaches for AUVs
inferred← citeshttps://doi.org/10.1109/oceans47191.2022.9977275openalex-snapshot
Synthetic Sonar Image Simulation with Various Seabed Conditions for Automatic Target Recognition
inferred← citeshttps://doi.org/10.1109/oceans51537.2024.10682361openalex-snapshot
Improving SONAR Image Classification Performance Via Denoising
inferred← citeshttps://doi.org/10.1109/oceans58557.2025.11104554openalex-snapshot
Acoustic Simulated Sonar Data and Neural Networks for Marine Mine Detection
inferred← citeshttps://doi.org/10.1109/oceans58557.2025.11104692openalex-snapshot
Boosting SONAR Image Classification Through Transfer Learning
inferred← citeshttps://doi.org/10.1109/oceans58557.2025.11104722openalex-snapshot
TRAM: Transformer-Based Mask R-CNN Framework for Underwater Object Detection in Side-Scan Sonar Data
inferred← citeshttps://doi.org/10.1109/oceanschennai45887.2022.9775508openalex-snapshot
A GAN-based Super Resolution Model for Efficient Image Enhancement in Underwater Sonar Images
inferred← citeshttps://doi.org/10.1109/rait65068.2025.11088940openalex-snapshot
Real-time detection of underwater objects in Side Scan Sonar Data using Deep Learning Models
inferred← citeshttps://doi.org/10.1109/ricai64321.2024.10911605openalex-snapshot
Reducing False alarm rate of Sonar image Detection via Self-training
inferred← citeshttps://doi.org/10.1109/rusautocon61949.2024.10694680openalex-snapshot
Methods of Introducing Reference Objects Into Images Obtained Using Hydroacoustic Systems of Computer Vision
inferred← citeshttps://doi.org/10.1109/sibgrapi67909.2025.11223279openalex-snapshot
Sonar Image Datasets: A Comprehensive Survey of Resources, Challenges, and Applications
inferred← citeshttps://doi.org/10.1109/sspd57945.2023.10256809openalex-snapshot
Computational Enhancement of Accumulated CA-CFAR Process in Side Scan Sonar Data
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3116671openalex-snapshot
Comprehensive Sample Augmentation by Fully Considering SSS Imaging Mechanism and Environment for Shipwreck Detection Under Zero Real Samples
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3147367openalex-snapshot
Side-Scan Sonar Analysis Using ROI Analysis and Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3201248openalex-snapshot
Fused Adaptive Receptive Field Mechanism and Dynamic Multiscale Dilated Convolution for Side-Scan Sonar Image Segmentation
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3211847openalex-snapshot
Sonar Images Classification While Facing Long-Tail and Few-Shot
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3280243openalex-snapshot
Mixed Seabed Sediment Classification Based on Transferred Convolutional Neural Network: A Case Study in the Ancient River Valley
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3285436openalex-snapshot
SSS Small Target Detection via Combining Weighted Sparse Model With Shadow Characteristics
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3327045openalex-snapshot
MHGAN: A Multi-Headed Generative Adversarial Network for Underwater Sonar Image Super-Resolution
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3334743openalex-snapshot
Side-Scan Sonar Image Simulation Considering Imaging Mechanism and Marine Environment for Zero-Shot Shipwreck Detection
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3363875openalex-snapshot
Seg2Sonar: A Full-Class Sample Synthesis Method Applied to Underwater Sonar Image Target Detection, Recognition, and Segmentation Tasks
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3371051openalex-snapshot
A Sample Augmentation Method for Side-Scan Sonar Full-Class Images That Can Be Used for Detection and Segmentation
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3398188openalex-snapshot
Various Degradation: Dual Cross-Refinement Transformer for Blind Sonar Image Super-Resolution
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3524835openalex-snapshot
Unified No-Reference Quality Assessment for Sonar Imaging and Processing
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3570835openalex-snapshot
Sonar Image Super-Resolution Based on Structure-Texture Dual Preservation
inferred← citeshttps://doi.org/10.1109/tgrs.2026.3703060openalex-snapshot
Phase-Aware Contrastive Learning for Sonar Image Restoration via Spatial–Frequency Fusion
inferred← citeshttps://doi.org/10.1109/tim.2024.3352693openalex-snapshot
Side-Scan Sonar Image Classification With Zero-Shot and Style Transfer
inferred← citeshttps://doi.org/10.1109/tim.2025.3551028openalex-snapshot
Contrastive Adaptation on Domain Augmentation for Generalized Zero-Shot Side-Scan Sonar Image Classification
inferred← citeshttps://doi.org/10.1109/tip.2024.3512378openalex-snapshot
SEGSID: A Semantic-Guided Framework for Sonar Image Despeckling
inferred← citeshttps://doi.org/10.1109/tkde.2023.3283425openalex-snapshot
Broad Learning Autoencoder With Graph Structure for Data Clustering
inferred← citeshttps://doi.org/10.1109/tmm.2026.3668561openalex-snapshot
D2C-SID: A Divergence to Convergence Strategy for Sonar Image Denoising
inferred← citeshttps://doi.org/10.1109/tsp.2025.3525951openalex-snapshot
A Nonparametric Data-Driven Classifier Based on the Cumulant Generating Function
inferred← citeshttps://doi.org/10.1117/1.jei.34.2.023019openalex-snapshot
CSTC-YOLOv8: underwater object detection model based on improved YOLOv8 for side scan sonar images
inferred← citeshttps://doi.org/10.1121/10.0042386openalex-snapshot
An explainable context-adaptive fusion and expert-in-the-loop evaluation framework for underwater sonar image classification
inferred← citeshttps://doi.org/10.1142/s0217984921500421openalex-snapshot
Short-term traffic flow prediction based on 1DCNN-LSTM neural network structure
inferred← citeshttps://doi.org/10.1145/3631991.3632044openalex-snapshot
A Research Investigates the Utilization of Single-Beam Sonar Search for Object Recognition of Drowning Incidents in Underwater Environments -Using Tainan City as a Case Study
inferred← citeshttps://doi.org/10.1145/3652628.3652687openalex-snapshot
Semi-supervised segmentation of sonar images using CylcleGAN
inferred← citeshttps://doi.org/10.1155/2022/1633946openalex-snapshot
Spike-Based Approximate Backpropagation Algorithm of Brain-Inspired Deep SNN for Sonar Target Classification
inferred← citeshttps://doi.org/10.1155/2022/6962838openalex-snapshot
Dual-Path Residual “Shrinkage” Network for Side-Scan Sonar Image Classification
inferred← citeshttps://doi.org/10.1155/dsn/6543345openalex-snapshot
A Side‐Scan Sonar Seabed Target Detection Algorithm Based on YOLOv8‐RDE
inferred← citeshttps://doi.org/10.11591/ijece.v12i6.pp6707-6715openalex-snapshot
Implementation of the C4.5 algorithm for micro, small, and medium enterprises classification
inferred← citeshttps://doi.org/10.1177/02783649241266853openalex-snapshot
Machine learning for shipwreck segmentation from side scan sonar imagery: Dataset and benchmark
inferred← citeshttps://doi.org/10.1177/1088467x241290657openalex-snapshot
Shifted split-merge segmentation and fuzzy-guided generative adversarial network underwater object detection
inferred← citeshttps://doi.org/10.1371/journal.pone.0272602openalex-snapshot
Data augmentation using image translation for underwater sonar image segmentation
inferred← citeshttps://doi.org/10.2139/ssrn.5798355openalex-snapshot
SonarDiff: A Quality-Guided Diffusion Framework for Long-Tailed Recognition in Low-Visibility Acoustic Imaging
inferred← citeshttps://doi.org/10.23919/ccc58697.2023.10240823openalex-snapshot
Pix2Pix Based RAT Algorithm For Denoising of Forward-Looking Sonar Imagery
inferred← citeshttps://doi.org/10.23919/oceans44145.2021.9705713openalex-snapshot
Side-Scan Sonar Imaging: Automatic Boulder Identification
inferred← citeshttps://doi.org/10.23919/oceans44145.2021.9705893openalex-snapshot
A Cooperative Sensor-Based Navigational Concept for Heterogeneous AUV Swarms
inferred← citeshttps://doi.org/10.23919/oceans52994.2023.10337038openalex-snapshot
Machine Learning Based Automated Detection of Seafloor Gas Seeps
inferred← citeshttps://doi.org/10.31414/ee.2022.d.131558openalex-snapshot
Machine learning methods for vessel type classification with underwater acoustic data
inferred← citeshttps://doi.org/10.3389/feart.2025.1596238openalex-snapshot
Automated detection of submarine pipelines in the Yellow River Estuary: a deep learning approach for side-scan sonar data in dynamic deltaic systems
inferred← citeshttps://doi.org/10.3389/fmars.2026.1762772openalex-snapshot
An attempt at underwater image lightweight super-resolution using transformer and frequency-domain learning
inferred← citeshttps://doi.org/10.3389/fnbot.2022.928206openalex-snapshot
Side-Scan Sonar Image Segmentation Based on Multi-Channel CNN for AUV Navigation
inferred← citeshttps://doi.org/10.3390/app14178031openalex-snapshot
Side-Scan Sonar Image Augmentation Method Based on CC-WGAN
inferred← citeshttps://doi.org/10.3390/app15031189openalex-snapshot
Self-Training Can Reduce Detection False Alarm Rate of High-Resolution Imaging Sonar
inferred← citeshttps://doi.org/10.3390/automation6030035openalex-snapshot
Benchmarking YOLO Models for Marine Search and Rescue in Variable Weather Conditions
inferred← citeshttps://doi.org/10.3390/electronics10151823openalex-snapshot
Side-Scan Sonar Image Classification Based on Style Transfer and Pre-Trained Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/electronics10232943openalex-snapshot
A Review of Underwater Mine Detection and Classification in Sonar Imagery
inferred← citeshttps://doi.org/10.3390/electronics11193002openalex-snapshot
Semantic Segmentation of Side-Scan Sonar Images with Few Samples
inferred← citeshttps://doi.org/10.3390/electronics12040791openalex-snapshot
Multi-Mode Channel Position Attention Fusion Side-Scan Sonar Transfer Recognition
inferred← citeshttps://doi.org/10.3390/electronics12183788openalex-snapshot
Underwater AUV Navigation Dataset in Natural Scenarios
inferred← citeshttps://doi.org/10.3390/electronics13193874openalex-snapshot
Underwater Target Detection Using Side-Scan Sonar Images Based on Upsampling and Downsampling
inferred← citeshttps://doi.org/10.3390/electronics14071287openalex-snapshot
Side-Scan Sonar Image Classification Based on Joint Image Deblurring–Denoising and Pre-Trained Feature Fusion Attention Network
inferred← citeshttps://doi.org/10.3390/electronics14152954openalex-snapshot
Improved Binary Classification of Underwater Images Using a Modified ResNet-18 Model
inferred← citeshttps://doi.org/10.3390/jmse10121820openalex-snapshot
Small-Sample Sonar Image Classification Based on Deep Learning
inferred← citeshttps://doi.org/10.3390/jmse11030571openalex-snapshot
Feature Extraction and Classification of Simulated Monostatic Acoustic Echoes from Spherical Targets of Various Materials Using Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/jmse11061103openalex-snapshot
A Side-Scan Sonar Image Synthesis Method Based on a Diffusion Model
inferred← citeshttps://doi.org/10.3390/jmse12020352openalex-snapshot
Sonar Image Target Detection Based on Simulated Stain-like Noise and Shadow Enhancement in Optical Images under Zero-Shot Learning
inferred← citeshttps://doi.org/10.3390/jmse12030467openalex-snapshot
Sample Augmentation Method for Side-Scan Sonar Underwater Target Images Based on CBL-sinGAN
inferred← citeshttps://doi.org/10.3390/jmse12071057openalex-snapshot
SIGAN: A Multi-Scale Generative Adversarial Network for Underwater Sonar Image Super-Resolution
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