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Underwater Object Detection Using TC-YOLO with Attention Mechanisms

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-01234-2_1openalex-snapshot

CBAM: Convolutional Block Attention Module

inferredcites →https://doi.org/10.1007/978-3-031-20077-9_31openalex-snapshot

RFLA: Gaussian Receptive Field Based Label Assignment for Tiny Object Detection

inferredcites →https://doi.org/10.1007/s10586-022-03802-0openalex-snapshot

Detection of K-complexes in EEG signals using deep transfer learning and YOLOv3

inferredcites →https://doi.org/10.1007/s11042-021-11230-2openalex-snapshot

Underwater target detection with an attention mechanism and improved scale

inferredcites →https://doi.org/10.1016/j.compag.2021.106135openalex-snapshot

Real-time detection of uneaten feed pellets in underwater images for aquaculture using an improved YOLO-V4 network

inferredcites →https://doi.org/10.1016/j.ecoinf.2022.101847openalex-snapshot

YOLO-Fish: A robust fish detection model to detect fish in realistic underwater environment

inferredcites →https://doi.org/10.1016/j.neucom.2021.07.094openalex-snapshot

LLA: Loss-aware label assignment for dense pedestrian detection

inferredcites →https://doi.org/10.1016/s0734-189x(87)80186-xopenalex-snapshot

Adaptive histogram equalization and its variations

inferredcites →https://doi.org/10.1023/b:vlsi.0000028532.53893.82openalex-snapshot

Realization of the Contrast Limited Adaptive Histogram Equalization (CLAHE) for Real-Time Image Enhancement

inferredcites →https://doi.org/10.1088/1742-6596/1019/1/012026openalex-snapshot

A Review of Histogram Equalization Techniques in Image Enhancement Application

inferredcites →https://doi.org/10.1109/access.2020.3025617openalex-snapshot

Integrate MSRCR and Mask R-CNN to Recognize Underwater Creatures on Small Sample Datasets

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.2017.690openalex-snapshot

YOLO9000: Better, Faster, Stronger

inferredcites →https://doi.org/10.1109/cvpr.2018.00474openalex-snapshot

MobileNetV2: Inverted Residuals and Linear Bottlenecks

inferredcites →https://doi.org/10.1109/cvpr.2019.00075openalex-snapshot

Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00037openalex-snapshot

OTA: Optimal Transport Assignment for Object Detection

inferredcites →https://doi.org/10.1109/cvpr46437.2021.01350openalex-snapshot

Coordinate Attention for Efficient Mobile Network Design

inferredcites →https://doi.org/10.1109/cvprw50498.2020.00203openalex-snapshot

CSPNet: A New Backbone that can Enhance Learning Capability of CNN

inferredcites →https://doi.org/10.1109/iccv.2017.324openalex-snapshot

Focal Loss for Dense Object Detection

inferredcites →https://doi.org/10.1109/iccv.2019.00929openalex-snapshot

PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment

inferredcites →https://doi.org/10.1109/iccv48922.2021.00986openalex-snapshot

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

inferredcites →https://doi.org/10.1109/icdis55630.2022.00070openalex-snapshot

Underwater Object Detection with Swin Transformer

inferredcites →https://doi.org/10.1109/icip.1996.560995openalex-snapshot

Multi-scale retinex for color image enhancement

inferredcites →https://doi.org/10.1109/icpr.2006.479openalex-snapshot

Efficient Non-Maximum Suppression

inferredcites →https://doi.org/10.1109/icsp56322.2022.9965317openalex-snapshot

Research on Underwater Small Target Detection Algorithm Based on Improved YOLOv3

inferredcites →https://doi.org/10.1109/ieeeconf38699.2020.9389213openalex-snapshot

YOLO Nano Underwater: A Fast and Compact Object Detector for Embedded Device

inferredcites →https://doi.org/10.1109/oceanse.2017.8084889openalex-snapshot

Vision based real-time fish detection using convolutional neural network

inferredcites →https://doi.org/10.1109/tcsvt.2019.2963772openalex-snapshot

Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light

inferredcites →https://doi.org/10.1109/tip.2016.2612882openalex-snapshot

Underwater Image Enhancement by Dehazing With Minimum Information Loss and Histogram Distribution Prior

inferredcites →https://doi.org/10.1109/tip.2021.3074738openalex-snapshot

Composited FishNet: Fish Detection and Species Recognition From Low-Quality Underwater Videos

inferredcites →https://doi.org/10.1109/tnnls.2021.3072414openalex-snapshot

Lightweight Deep Neural Network for Joint Learning of Underwater Object Detection and Color Conversion

inferredcites →https://doi.org/10.1109/tpami.2010.168openalex-snapshot

Single Image Haze Removal Using Dark Channel Prior

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/10.1109/tpami.2019.2913372openalex-snapshot

Squeeze-and-Excitation Networks

inferredcites →https://doi.org/10.1145/3469213.3470310openalex-snapshot

Underwater target detection system based on YOLO v4

inferredcites →https://doi.org/10.1155/2020/6707328openalex-snapshot

Underwater Image Processing and Object Detection Based on Deep CNN Method

inferredcites →https://doi.org/10.1155/2021/6235319openalex-snapshot

Sonar Objective Detection Based on Dilated Separable Densely Connected CNNs and Quantum‐Behaved PSO Algorithm

inferredcites →https://doi.org/10.1186/s12911-022-02042-xopenalex-snapshot

Detection of K-complexes in EEG waveform images using faster R-CNN and deep transfer learning

inferredcites →https://doi.org/10.1214/aoms/1177729586openalex-snapshot

A Stochastic Approximation Method

inferredcites →https://doi.org/10.1364/oe.432756openalex-snapshot

Effective solution for underwater image enhancement

inferredcites →https://doi.org/10.1364/oe.449930openalex-snapshot

Underwater image enhancement using adaptive color restoration and dehazing

inferredcites →https://doi.org/10.23919/oceans40490.2019.8962561openalex-snapshot

GAN-based Color Correction for Underwater Object Detection

inferredcites →https://doi.org/10.3390/app12189105openalex-snapshot

Underwater Sea Cucumber Identification Based on Improved YOLOv5

inferredcites →https://doi.org/10.3390/s21093289openalex-snapshot

Deep Supervised Residual Dense Network for Underwater Image Enhancement

inferredcites →https://doi.org/10.3390/s21237849openalex-snapshot

Review of Underwater Sensing Technologies and Applications

inferredcites →https://doi.org/10.3390/sym14081669openalex-snapshot

An Improved YOLO Algorithm for Fast and Accurate Underwater Object Detection

inferredcites →https://doi.org/10.48550/arxiv.1905.11946openalex-snapshot

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

inferredcites →https://doi.org/10.5120/15268-3743openalex-snapshot

A Survey on Underwater Image Enhancement Techniques

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4828971openalex-extracted

Nature Inspired Algorithms for Improving Underwater Object Detection

inferred← citeshttps://doi.org/10.2139/ssrn.5225945openalex-extracted

Beneath the Surface: The Role of Underwater Image Enhancement in Object Detection

inferred← citeshttps://doi.org/10.1007/978-3-031-89327-8_10openalex-snapshot

Real-Time Aquatic Forensics: Harnessing AI for Efficient Underwater Target Recognition

inferred← citeshttps://doi.org/10.1007/978-3-031-93691-3_25openalex-snapshot

Assessing YOLOv8 and YOLOv9 for Advancements in Underwater Object Detection in the Pond Environment

inferred← citeshttps://doi.org/10.1007/978-3-032-08511-5_10openalex-snapshot

Deep Learning Approach Based Object Detection in Underwater SONAR Images

inferred← citeshttps://doi.org/10.1007/978-3-032-21625-0_31openalex-snapshot

Enhancing YOLOv11 for Underwater Object Detection Via Frequency Decomposition and Transmission-Aware Adaptive Sampling

inferred← citeshttps://doi.org/10.1007/978-3-032-31216-7_37openalex-snapshot

Underwater Object Detection

inferred← citeshttps://doi.org/10.1007/978-981-92-3447-9_5openalex-snapshot

IFI-RTDETR: An Underwater Organism Detection Framework Integrating Context-Anchored Attention and Information-Fusion Enhancement

inferred← citeshttps://doi.org/10.1007/978-981-95-5044-9_2openalex-snapshot

MSD-YOLOViT10: Optimized Underwater Marine Species Detector

inferred← citeshttps://doi.org/10.1007/978-981-96-9911-7_30openalex-snapshot

USEE-YOLO: An Improved Underwater Small Object Detection Algorithm with Edge Enhancement

inferred← citeshttps://doi.org/10.1007/s00530-024-01545-zopenalex-snapshot

High-strength synergic-calibration attention system in YOLO for underwater object detection application

inferred← citeshttps://doi.org/10.1007/s00530-024-01617-0openalex-snapshot

RG-YOLO: multi-scale feature learning for underwater target detection

inferred← citeshttps://doi.org/10.1007/s11042-024-19782-9openalex-snapshot

Analysis of recent techniques in marine object detection: a review

inferred← citeshttps://doi.org/10.1007/s11227-024-06136-3openalex-snapshot

An enhanced object detection network for ship target detection in SAR images

inferred← citeshttps://doi.org/10.1007/s11227-026-08571-wopenalex-snapshot

Ncaf-yolo: a remote sensing image detection model for unmanned aerial vehicles’ vision

inferred← citeshttps://doi.org/10.1007/s11554-024-01439-3openalex-snapshot

A novel finetuned YOLOv8 model for real-time underwater trash detection

inferred← citeshttps://doi.org/10.1007/s11554-025-01782-zopenalex-snapshot

FPGA-based real-time underwater object detection system for AUVs

inferred← citeshttps://doi.org/10.1007/s44163-026-00895-zopenalex-snapshot

A comprehensive review and case study of underwater object detection from traditional techniques to large vision language models

inferred← citeshttps://doi.org/10.1007/s44295-025-00060-9openalex-snapshot

Bi2F-YOLO: a novel framework for underwater object detection based on YOLOv7

inferred← citeshttps://doi.org/10.1007/s44295-025-00088-xopenalex-snapshot

DLFE-YOLO: an enhanced framework for underwater object detection based on YOLOv8

inferred← citeshttps://doi.org/10.1007/s44295-026-00111-9openalex-snapshot

TIBER-YOLO: an improved lightweight model for underwater object detection

inferred← citeshttps://doi.org/10.1016/j.atech.2025.101223openalex-snapshot

Image enhancement for detection of underwater moulted crabs in greenhouse soft-shell crab farming using deep learning

inferred← citeshttps://doi.org/10.1016/j.dsp.2025.105786openalex-snapshot

Dynamic feature fusion algorithm for multi-scale biological target detection in underwater environments

inferred← citeshttps://doi.org/10.1016/j.engappai.2023.107766openalex-snapshot

Weighted multi-error information entropy based you only look once network for underwater object detection

inferred← citeshttps://doi.org/10.1016/j.engappai.2026.114550openalex-snapshot

Dynamic generative adversarial network augmented Cross-Shaped Window transformer for underwater object detection with adaptive feature extraction and adaptive resolution enhancement mechanism

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130641openalex-snapshot

Spatial-temporal self-supervised learning for audio classification

inferred← citeshttps://doi.org/10.1016/j.jvcir.2026.104796openalex-snapshot

EFI-YOLO: An enhanced framework for industrial object detection

inferred← citeshttps://doi.org/10.1016/j.marpolbul.2025.118537openalex-snapshot

Lightweight underwater debris detection model based on improved RT-DETR

inferred← citeshttps://doi.org/10.1016/j.measurement.2025.117321openalex-snapshot

An improved YOLOv5 model for aeolian saltating particle recognition in high-speed videos

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130310openalex-snapshot

SU-YOLO: Spiking neural network for efficient underwater object detection

inferred← citeshttps://doi.org/10.1016/j.oceaneng.2026.127408openalex-snapshot

Underwater object detection via degradation-aware backbone, spatial-frequency background suppression, and adaptive-gated scale fusion: The DBS-Net Framework

inferred← citeshttps://doi.org/10.1038/s41598-024-79211-7openalex-snapshot

Lightweight enhanced YOLOv8n underwater object detection network for low light environments

inferred← citeshttps://doi.org/10.1038/s41598-025-89421-2openalex-snapshot

Efficient underwater object detection based on feature enhancement and attention detection head

inferred← citeshttps://doi.org/10.1038/s41598-025-97961-wopenalex-snapshot

Relative DOA estimation method for UAV swarm based on phase difference information without fixed anchors

inferred← citeshttps://doi.org/10.1038/s41598-026-35001-xopenalex-snapshot

An accurate realtime underwater object segmentation using improved dual-domain YOLOv11-UOS with physics guided adaptive enhancement and attention-boosting

inferred← citeshttps://doi.org/10.1038/s41598-026-38305-0openalex-snapshot

An improved YOLOv11 network for marine debris detection in underwater environment

inferred← citeshttps://doi.org/10.1038/s41598-026-45591-1openalex-snapshot

YOLO-MFD: a multi-scale feature and dynamic head framework for prefabricated shoreline underwater object detection

inferred← citeshttps://doi.org/10.1049/cit2.12325openalex-snapshot

Edge‐guided representation learning for underwater object detection

inferred← citeshttps://doi.org/10.1063/5.0206734openalex-snapshot

One stage multi-scale efficient network for underwater target detection

inferred← citeshttps://doi.org/10.1088/2631-8695/ae3278openalex-snapshot

CORAL-EMH: an enhanced multi-module framework for improved underwater object detection

inferred← citeshttps://doi.org/10.1109/access.2023.3290903openalex-snapshot

Research on Underwater Small Target Detection Algorithm Based on Improved YOLOv7

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Studies on Underwater Image Processing Using Artificial Intelligence Technologies

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High-Precision Real-Time Detection of Marine Fish Species Using Fine-Tuned YOLO Models

inferred← citeshttps://doi.org/10.1109/aetcse69203.2026.11504421openalex-snapshot

An Improved YOLOv11-seg Underwater Net Cage State Instance Segmentation Method with Dual Attention Mechanism Fusion

inferred← citeshttps://doi.org/10.1109/assic64892.2025.11158642openalex-snapshot

Enhanced Underwater Object Detection Using YOLO Models for Robust Marine Ecosystem Monitoring

inferred← citeshttps://doi.org/10.1109/etfa65518.2025.11205766openalex-snapshot

Robust ViT-enhanced Detection of Sacrificial Anodes in Harsh Underwater Conditions

inferred← citeshttps://doi.org/10.1109/fasta65681.2025.11138512openalex-snapshot

Research on Fish School Quantity Detection Algorithm Based on HyperC2Net+MANet Improved YOLO11

inferred← citeshttps://doi.org/10.1109/iacis65746.2025.11211252openalex-snapshot

Traffic Sign Recognition and Classification Using Deep Learning Technique Model YOLOv5s

inferred← citeshttps://doi.org/10.1109/icac2n63387.2024.10895420openalex-snapshot

Exploring Novel Strategies for Object Detection: Insights and Innovations

inferred← citeshttps://doi.org/10.1109/icaiet65052.2025.11210937openalex-snapshot

Enhanced YOLOv8 for Underwater Object Detection in Dynamic Environment

inferred← citeshttps://doi.org/10.1109/icbaie66852.2025.11326553openalex-snapshot

Underwater Object Detection Algorithm Based on Improved RT-DETR

inferred← citeshttps://doi.org/10.1109/icbase63199.2024.10762198openalex-snapshot

YOLO-AES A Lightweight Model for Real-Time Underwater Object Detection

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Research and Optimization of Electrode-Assisted Human Key Point Detection Algorithm Based on Channel Attention and Adaptive Feature Fusion

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A Comprehensive Review on Underwater Object Detection Techniques

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A Deep Learning Framework for Detecting Underwater Trash

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Target Detection Algorithm Based on Improved YOLOv8 for Hynobius Amjiensis

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Cognitive Analysis of Underwater Object Detection Using Deep Learning for Marine Exploration

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Underwater Object Detection with YOLO: A Recall-Centric Training Strategy

inferred← citeshttps://doi.org/10.1109/iitcee67948.2026.11394612openalex-snapshot

Marine Species and Scientific Name Classification Using YOLOv8

inferred← citeshttps://doi.org/10.1109/incowoco64194.2024.10863165openalex-snapshot

Challenges in Underwater Object Detection and Video Segmentation Using Deep Learning

inferred← citeshttps://doi.org/10.1109/indiscon66021.2025.11254555openalex-snapshot

UIEOD-TE: Underwater Image Enhancement and Object Detection in Turbid Environments

inferred← citeshttps://doi.org/10.1109/inspect63485.2024.10896201openalex-snapshot

Enhanced Real-Time Object Detection on Customized Dataset with YOLOv9 Architecture

inferred← citeshttps://doi.org/10.1109/jbhi.2025.3621703openalex-snapshot

Robust R-Peak Detection in Noisy ECGs via Strip-Attention YOLO With Multilead Fusion

inferred← citeshttps://doi.org/10.1109/sympol68153.2025.11395645openalex-snapshot

Edge AI based Real -Time Classification of Underwater Target in Images using YOLO Deep Learning Algorithm

inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3545694openalex-snapshot

Prior-Guided Dual-Reference Contrastive Learning for Underwater Object Detection

inferred← citeshttps://doi.org/10.1109/tgrs.2025.3579916openalex-snapshot

Physical Adversarial Background Patch Against Aerial Object Detection Based on Pareto Efficiency

inferred← citeshttps://doi.org/10.1109/upcon62832.2024.10983607openalex-snapshot

Enhancing Underwater Image Quality Using Multi-Scale Retinex for Improved Object Detection with YOLOv5 and Self-Supervised Learning with SimCLR

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CSTransNet: A Cross-Scale Transformer Network for Underwater Object Detection

inferred← citeshttps://doi.org/10.1109/wacvw68408.2026.00120openalex-snapshot

Enhancement as Augmentation: Improving Detection in Highly Degraded Underwater Images Through Mixed-Domain Training

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Multi-Object Detection Using Enhanced Computer Vision Models for Underwater Systems

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UTD-YOLO: underwater trash detection model based on improved YOLOv5

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Receptive field enhancement and attention feature fusion network for underwater object detection

inferred← citeshttps://doi.org/10.1117/12.3014034openalex-snapshot

Underwater simultaneous enhancement and super-resolution impact evaluation on object detection

inferred← citeshttps://doi.org/10.1140/epjp/s13360-025-06498-4openalex-snapshot

HydR-CNN: advancing underwater object detection using a multi-stage framework with hybrid R-CNN and pyramid vision transformer with augmented convolution

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DAF-DETR: Dual-Attention and Dual-Fusion DETR for Underwater Object Detection

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Optimization of Pulse Oximetry Detection Accuracy based on Photosensitive Sensor Technology

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YOLO11-Swin: A Target Detection Model for Complex Underwater Environments

inferred← citeshttps://doi.org/10.1371/journal.pone.0298739openalex-snapshot

Underwater object detection method based on learnable query recall mechanism and lightweight adapter

inferred← citeshttps://doi.org/10.1371/journal.pone.0345593openalex-snapshot

GAN-based underwater image enhancement and scene classification using transfer learning

inferred← citeshttps://doi.org/10.18372/1990-5548.79.18429openalex-snapshot

Comprehensive Framework for Underwater Object Detection Based on Improved YOLOv8

inferred← citeshttps://doi.org/10.21203/rs.3.rs-7137519/v1openalex-snapshot

TIDE-YOLO: Lightweight Algorithm for Underwater Object Detection

inferred← citeshttps://doi.org/10.21203/rs.3.rs-7164495/v1openalex-snapshot

DGP-DETR : A real-time detection algorithm for underwater target detection

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A Hybrid Multi-Modal Framework for Automated Rice Disease Detection from Images and Textual Descriptions

inferred← citeshttps://doi.org/10.2139/ssrn.5370376openalex-snapshot

Sfafnet:Skip-Connected Feature Attention Fusion Network for Underwater Small Object Detection

inferred← citeshttps://doi.org/10.2174/0118722121303581240527070227openalex-snapshot

YOLOv5-based Enhanced Underwater Seaweed Detection Using Open-Source Datasets

inferred← citeshttps://doi.org/10.2208/jscejj.25-16107openalex-snapshot

EFFECTIVENESS OF CLAHE PREPROCESSING IN IMAGE DETECTION OF JUVENILE AYU USING DEEP LEARNING

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Application of Neural Network Technologies for Underwater Munitions Detection

inferred← citeshttps://doi.org/10.32604/cmc.2025.060547openalex-snapshot

ProNet: Underwater Forward-Looking Sonar Images Target Detection Network Based on Progressive Sensitivity Capture

inferred← citeshttps://doi.org/10.3389/fmars.2023.1242041openalex-snapshot

A deep learning approach for object detection of rockfish in challenging underwater environments

inferred← citeshttps://doi.org/10.3389/fmars.2024.1301024openalex-snapshot

Quantitative detection algorithm for deep-sea megabenthic organisms based on improved YOLOv5

inferred← citeshttps://doi.org/10.3389/fmars.2025.1658205openalex-snapshot

Efficient underwater ecological monitoring with embedded AI: detecting Crown-of-Thorns Starfish via DCGAN and YOLOv6

inferred← citeshttps://doi.org/10.3389/fmars.2026.1895210openalex-snapshot

Reliability-aware query restoration for embedded real-time object detection in degraded underwater vision systems

inferred← citeshttps://doi.org/10.3390/app14083330openalex-snapshot

Design and Experiment of Variable-Spray System Based on Deep Learning

inferred← citeshttps://doi.org/10.3390/app15073537openalex-snapshot

WDS-YOLO: A Marine Benthos Detection Model Fusing Wavelet Convolution and Deformable Attention

inferred← citeshttps://doi.org/10.3390/electronics12153231openalex-snapshot

An Underwater Dense Small Object Detection Model Based on YOLOv5-CFDSDSE

inferred← citeshttps://doi.org/10.3390/electronics13081472openalex-snapshot

A Selective Multi-Branch Network for Edge-Oriented Object Localization and Classification

inferred← citeshttps://doi.org/10.3390/electronics14091810openalex-snapshot

Lightweight Underwater Target Detection Algorithm Based on YOLOv8n

inferred← citeshttps://doi.org/10.3390/fishes10040173openalex-snapshot

UM-YOLOv10: Underwater Object Detection Algorithm for Marine Environment Based on YOLOv10 Model

inferred← citeshttps://doi.org/10.3390/fishes9020060openalex-snapshot

Rethinking Underwater Crab Detection via Defogging and Channel Compensation

inferred← citeshttps://doi.org/10.3390/jimaging12010018openalex-snapshot

Revisiting Underwater Image Enhancement for Object Detection: A Unified Quality–Detection Evaluation Framework

inferred← citeshttps://doi.org/10.3390/jmse12122291openalex-snapshot

Underwater-Yolo: Underwater Object Detection Network with Dilated Deformable Convolutions and Dual-Branch Occlusion Attention Mechanism

inferred← citeshttps://doi.org/10.3390/jmse13010102openalex-snapshot

Vision-Based Underwater Docking Guidance and Positioning: Enhancing Detection with YOLO-D

inferred← citeshttps://doi.org/10.3390/jmse14161532openalex-snapshot

UADet: Redefining Marine Debris Detection in Degraded Underwater Scenes with Adaptive Feature and Boundary Refinement

inferred← citeshttps://doi.org/10.3390/rs17020185openalex-snapshot

Understanding the Influence of Image Enhancement on Underwater Object Detection: A Quantitative and Qualitative Study

inferred← citeshttps://doi.org/10.3390/s23094261openalex-snapshot

A Multiscale Instance Segmentation Method Based on Cleaning Rubber Ball Images

inferred← citeshttps://doi.org/10.3390/s23104925openalex-snapshot

Object Detection of Flexible Objects with Arbitrary Orientation Based on Rotation-Adaptive YOLOv5

inferred← citeshttps://doi.org/10.3390/s24082483openalex-snapshot

YOLOv8-C2f-Faster-EMA: An Improved Underwater Trash Detection Model Based on YOLOv8

inferred← citeshttps://doi.org/10.3390/s24227201openalex-snapshot

Multi-Scale Feature Fusion Enhancement for Underwater Object Detection

inferred← citeshttps://doi.org/10.3390/s25051595openalex-snapshot

BGLE-YOLO: A Lightweight Model for Underwater Bio-Detection

inferred← citeshttps://doi.org/10.3390/s25133890openalex-snapshot

BSE-YOLO: An Enhanced Lightweight Multi-Scale Underwater Object Detection Model

inferred← citeshttps://doi.org/10.3390/s26030872openalex-snapshot

Restoring Ambiguous Boundaries: An Efficient and Robust Framework for Underwater Camouflaged Object Detection

inferred← citeshttps://doi.org/10.3390/s26103234openalex-snapshot

Structure-Enhanced Underwater Object Detection via Wavelet-Edge Collaboration and Selective Multi-Scale Fusion

inferred← citeshttps://doi.org/10.3390/s26134290openalex-snapshot

Development of a Novel Convolution to Interactive Capture and Recalibration Enhancement Module for Underwater Fish Detection in Sensor Networks

inferred← citeshttps://doi.org/10.3390/w18101241openalex-snapshot

Morphology-Adaptive YOLO for Underwater Crack Detection in Hydraulic Structures

inferred← citeshttps://doi.org/10.4018/408155openalex-snapshot

Impact of Machine Learning Algorithms in Under Water Image Enhancement and Object Detection

inferred← citeshttps://doi.org/10.4018/979-8-3693-6670-7.ch014openalex-snapshot

Utilizing Single-Shot Multi-Box Detector for Detecting Underwater Benthos in the Marine Benthic Zone

inferred← citeshttps://doi.org/10.4018/979-8-3693-6670-7.ch015openalex-snapshot

Utilizing Temperature Difference for Sustainable Maritime Transportation

inferred← citeshttps://doi.org/10.47164/ijngc.v15i3.1789openalex-snapshot

AeroNet: Efficient YOLOv7 for Tiny-Object Detection in UAV Imagery

inferred← citeshttps://doi.org/10.55056/ceur-ws.org/vol-3777/paper2.pdfopenalex-snapshot

Efficient Small and Overlapping Target Detection in Underwater Images

inferred← citeshttps://doi.org/10.65725/jcise/2/2/008openalex-snapshot

A SYSTEMATIC REVIEW OF SENTIMENT ANALYSIS: APPROACHES, IMPLEMENTATIONS, AND COMPARATIVE EVALUATIONS

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.