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Ship detection based on YOLO algorithm for visible images

https://doi.org/10.1049/ipr2.12963
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-031-13841-6_61openalex-snapshot
The Improved YOLOV5 Algorithm and Its Application in Small Target Detection
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_2openalex-snapshot
SSD: Single Shot MultiBox Detector
inferredcites →https://doi.org/10.1007/978-3-319-46484-8_29openalex-snapshot
Stacked Hourglass Networks for Human Pose Estimation
inferredcites →https://doi.org/10.1007/s11263-014-0733-5openalex-snapshot
The Pascal Visual Object Classes Challenge: A Retrospective
inferredcites →https://doi.org/10.1016/j.jag.2022.102875openalex-snapshot
Mask R-CNN based automated identification and extraction of oil well sites
inferredcites →https://doi.org/10.1016/j.neucom.2022.10.008openalex-snapshot
Video stabilization: A comprehensive survey
inferredcites →https://doi.org/10.1023/a:1007618119488openalex-snapshot
Soft Margins for AdaBoost
inferredcites →https://doi.org/10.1023/b:visi.0000013087.49260.fbopenalex-snapshot
Robust Real-Time Face Detection
inferredcites →https://doi.org/10.1080/01431161.2020.1811422openalex-snapshot
Ship detection based on fused features and rebuilt YOLOv3 networks in optical remote-sensing images
inferredcites →https://doi.org/10.1109/apsipa.2015.7415502openalex-snapshot
Rotation-invariant histograms of oriented gradients for local patch robust representation
inferredcites →https://doi.org/10.1109/cis.2011.262openalex-snapshot
Pedestrian Detection Based on HOG-LBP Feature
inferredcites →https://doi.org/10.1109/cvpr.2001.990517openalex-snapshot
Rapid object detection using a boosted cascade of simple features
inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot
Histograms of Oriented Gradients for Human Detection
inferredcites →https://doi.org/10.1109/cvpr.2008.4587597openalex-snapshot
A discriminatively trained, multiscale, deformable part model
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot
You Only Look Once: Unified, Real-Time Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.106openalex-snapshot
Feature Pyramid Networks for Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2018.00644openalex-snapshot
Cascade R-CNN: Delving Into High Quality Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2019.00720openalex-snapshot
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01309openalex-snapshot
Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection
inferredcites →https://doi.org/10.1109/cvpr52729.2023.00721openalex-snapshot
YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors
inferredcites →https://doi.org/10.1109/iccv.2015.169openalex-snapshot
Fast R-CNN
inferredcites →https://doi.org/10.1109/iccv.2017.324openalex-snapshot
Focal Loss for Dense Object Detection
inferredcites →https://doi.org/10.1109/iccv.2019.00140openalex-snapshot
Searching for MobileNetV3
inferredcites →https://doi.org/10.1109/icfeict59519.2023.00103openalex-snapshot
Ship Detection with Optical Image Based on CA-YOLO v3 Network
inferredcites →https://doi.org/10.1109/itsc.2008.4732553openalex-snapshot
Pedestrian Detection Using Boosted HOG Features
inferredcites →https://doi.org/10.1109/tgrs.2021.3133956openalex-snapshot
ABNet: Adaptive Balanced Network for Multiscale Object Detection in Remote Sensing Imagery
inferredcites →https://doi.org/10.1109/tgrs.2022.3181062openalex-snapshot
Hybrid Feature Aligned Network for Salient Object Detection in Optical Remote Sensing Imagery
inferredcites →https://doi.org/10.1109/tgrs.2023.3267271openalex-snapshot
Distilling Knowledge From Super-Resolution for Efficient Remote Sensing Salient Object Detection
inferredcites →https://doi.org/10.1109/tpami.2015.2389824openalex-snapshot
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1155/2021/1060182openalex-snapshot
ShipYOLO: An Enhanced Model for Ship Detection
inferredcites →https://doi.org/10.3390/jmse11081625openalex-snapshot
Multi-Feature Fusion-Guided Low-Visibility Image Enhancement for Maritime Surveillance
inferredcites →https://doi.org/10.3390/s20164587openalex-snapshot
SSD vs. YOLO for Detection of Outdoor Urban Advertising Panels under Multiple Variabilities

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-78113-1_2openalex-snapshot
Cross-Modal Ship Grounding: Towards Large Model for Enhanced Few-Shot Learning
inferred← citeshttps://doi.org/10.1007/978-981-96-7496-1_35openalex-snapshot
Multi-class Ship Classification of Commercial and Naval Vessels Using Convolutional Neural Network
inferred← citeshttps://doi.org/10.1007/s11554-024-01597-4openalex-snapshot
YOLO-GCV: a lightweight algorithm for ship object detection in complex inland waterway environments
inferred← citeshttps://doi.org/10.1007/s40747-024-01726-3openalex-snapshot
Light-YOLO: a lightweight detection algorithm based on multi-scale feature enhancement for infrared small ship target
inferred← citeshttps://doi.org/10.1016/j.dsp.2025.105152openalex-snapshot
EPFNet: Lightweight feature fusion for small ship detection in remote sensing imagery
inferred← citeshttps://doi.org/10.1016/j.dsp.2026.105995openalex-snapshot
Tiny object detection: An in-depth survey of techniques, challenges, and future directions
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.110798openalex-snapshot
A real-time lightweight object detection algorithm based on improved you only look once version 8 for unmanned surface vehicle
inferred← citeshttps://doi.org/10.1016/j.imavis.2026.105942openalex-snapshot
CoSTAA YOLO: Convolutional Swin Transformer with Attention and Anchor box Optimization on YOLOv7 for robust pedestrian detection
inferred← citeshttps://doi.org/10.1016/j.oceaneng.2024.120066openalex-snapshot
Ship detection using GNSS Wave Buoy MGB-2
inferred← citeshttps://doi.org/10.1016/j.oceaneng.2026.126119openalex-snapshot
Guided search and edge YOLO benchmarking for UAV-based maritime vessel inspection: A perception-driven navigation strategy
inferred← citeshttps://doi.org/10.1049/ipr2.13140openalex-snapshot
GDB‐YOLOv5s: Improved YOLO‐based model for ship detection in SAR images
inferred← citeshttps://doi.org/10.1080/20464177.2025.2578910openalex-snapshot
Fine-grained maritime traffic perception via low-rank adaptive transformer and regional matching fusion
inferred← citeshttps://doi.org/10.1088/1361-6501/ad7d29openalex-snapshot
A ship detection model with progressive feature fusion and cross-spatial learning attention mechanism for optical remote sensing images
inferred← citeshttps://doi.org/10.1109/aipmv67185.2025.11290047openalex-snapshot
SKAN-YOLO: A Precision Detection Algorithm for Small Maritime Targets
inferred← citeshttps://doi.org/10.1109/ccdc65474.2025.11091214openalex-snapshot
A ship target recognition algorithm based on deep learning
inferred← citeshttps://doi.org/10.1109/icccnt61001.2024.10725954openalex-snapshot
Tiny Object Detection for Marine Search and Rescue with YOLOv8n-Tiny
inferred← citeshttps://doi.org/10.1109/jstars.2025.3592850openalex-snapshot
MHOE-DETR: A Ship Detection Method for Small and Fuzzy Targets Based on Satellite Remote Sensing Image Data
inferred← citeshttps://doi.org/10.1109/oceans51537.2024.10682267openalex-snapshot
Comparing Different YOLO Versions for Boat Detection and Classification in Real Datasets
inferred← citeshttps://doi.org/10.1109/oceans58557.2025.11104564openalex-snapshot
YOLO-Based Depth Estimation from Monocular Camera Images for Object Detection at Sea
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3481370openalex-snapshot
Asymmetric Aggregation Network for Accurate Ship Detection in Optical Imagery
inferred← citeshttps://doi.org/10.23919/fusion65864.2025.11124100openalex-snapshot
A Ship Detection Technique Using Weightless Neural Networks
inferred← citeshttps://doi.org/10.23919/fusion65864.2025.11124176openalex-snapshot
Joint Vessel Multilateration and Classification Using Coastal Surveillance Cameras
inferred← citeshttps://doi.org/10.3390/electronics13234591openalex-snapshot
AQSFormer: Adaptive Query Selection Transformer for Real-Time Ship Detection from Visual Images
inferred← citeshttps://doi.org/10.3390/jmse12010190openalex-snapshot
YOLOv7-Ship: A Lightweight Algorithm for Ship Object Detection in Complex Marine Environments
inferred← citeshttps://doi.org/10.3390/jmse13101936openalex-snapshot
YOLO-PFA: Advanced Multi-Scale Feature Fusion and Dynamic Alignment for SAR Ship Detection
inferred← citeshttps://doi.org/10.3390/modelling6020049openalex-snapshot
Video Stabilization: A Comprehensive Survey from Classical Mechanics to Deep Learning Paradigms
inferred← citeshttps://doi.org/10.3390/s25133979openalex-snapshot
Infrared Ship Detection in Complex Nearshore Scenes Based on Improved YOLOv5s
inferred← citeshttps://doi.org/10.3390/technologies13090391openalex-snapshot
Exploring Attention Placement in YOLOv5 for Ship Detection in Infrared Maritime Scenes
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