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EUAVDet: An Efficient and Lightweight Object Detector for UAV Aerial Images with an Edge-Based Computing Platform

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-01249-6_23openalex-snapshot

The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking

inferredcites →https://doi.org/10.1007/978-3-030-01252-6_24openalex-snapshot

Receptive Field Block Net for Accurate and Fast Object Detection

inferredcites →https://doi.org/10.1007/978-3-030-58604-1_20openalex-snapshot

Feature Pyramid Transformer

inferredcites →https://doi.org/10.1007/978-3-030-66823-5_39openalex-snapshot

Object Detection Using Clustering Algorithm Adaptive Searching Regions in Aerial Images

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/10.1016/j.jvcir.2021.103058openalex-snapshot

A lightweight multi-scale aggregated model for detecting aerial images captured by UAVs

inferredcites →https://doi.org/10.1016/j.neucom.2022.03.033openalex-snapshot

Adaptive dense pyramid network for object detection in UAV imagery

inferredcites →https://doi.org/10.1016/j.neucom.2023.03.046openalex-snapshot

RSBNet: One-shot neural architecture search for a backbone network in remote sensing image recognition

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

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.2018.00474openalex-snapshot

MobileNetV2: Inverted Residuals and Linear Bottlenecks

inferredcites →https://doi.org/10.1109/cvpr.2018.00716openalex-snapshot

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

inferredcites →https://doi.org/10.1109/cvpr.2018.00913openalex-snapshot

Path Aggregation Network for Instance Segmentation

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/cvpr42600.2020.00165openalex-snapshot

GhostNet: More Features From Cheap Operations

inferredcites →https://doi.org/10.1109/cvpr42600.2020.01079openalex-snapshot

EfficientDet: Scalable and Efficient Object Detection

inferredcites →https://doi.org/10.1109/cvpr46437.2021.01074openalex-snapshot

Diverse Branch Block: Building a Convolution as an Inception-like Unit

inferredcites →https://doi.org/10.1109/cvpr46437.2021.01352openalex-snapshot

RepVGG: Making VGG-style ConvNets Great Again

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/cvpr52729.2023.01291openalex-snapshot

Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images

inferredcites →https://doi.org/10.1109/cvprw.2019.00103openalex-snapshot

An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection

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.2017.322openalex-snapshot

Mask R-CNN

inferredcites →https://doi.org/10.1109/iccv48922.2021.00041openalex-snapshot

CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

inferredcites →https://doi.org/10.1109/iccv48922.2021.00052openalex-snapshot

MicroNet: Improving Image Recognition with Extremely Low FLOPs

inferredcites →https://doi.org/10.1109/iccv51070.2023.01411openalex-snapshot

AerialVLN: Vision-and-Language Navigation for UAVs

inferredcites →https://doi.org/10.1109/iccvw.2019.00011openalex-snapshot

SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications

inferredcites →https://doi.org/10.1109/iccvw54120.2021.00312openalex-snapshot

TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios

inferredcites →https://doi.org/10.1109/icip46576.2022.9897990openalex-snapshot

Slicing Aided Hyper Inference and Fine-Tuning for Small Object Detection

inferredcites →https://doi.org/10.1109/irc.2017.77openalex-snapshot

Real-Time, Cloud-Based Object Detection for Unmanned Aerial Vehicles

inferredcites →https://doi.org/10.1109/jstars.2022.3187454openalex-snapshot

An Enhanced Lightweight Convolutional Neural Network for Ship Detection in Maritime Surveillance System

inferredcites →https://doi.org/10.1109/jstars.2022.3227322openalex-snapshot

FRS-Net: An Efficient Ship Detection Network for Thin-Cloud and Fog-Covered High-Resolution Optical Satellite Imagery

inferredcites →https://doi.org/10.1109/lgrs.2023.3314026openalex-snapshot

NAS-Kernel: Learning Suitable Gaussian Kernel for Remote-Sensing Object Counting

inferredcites →https://doi.org/10.1109/tgrs.2019.2953119openalex-snapshot

Object Detection in High Resolution Remote Sensing Imagery Based on Convolutional Neural Networks With Suitable Object Scale Features

inferredcites →https://doi.org/10.1109/tgrs.2023.3277077openalex-snapshot

Energy-Based CNN Pruning for Remote Sensing Scene Classification

inferredcites →https://doi.org/10.1109/tip.2023.3314285openalex-snapshot

Salient Object Detection in Optical Remote Sensing Images Driven by Transformer

inferredcites →https://doi.org/10.1109/tpami.2021.3119563openalex-snapshot

Detection and Tracking Meet Drones Challenge

inferredcites →https://doi.org/10.1109/wacv51458.2022.00374openalex-snapshot

SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water

inferredcites →https://doi.org/10.1609/aaai.v36i1.19986openalex-snapshot

UFPMP-Det:Toward Accurate and Efficient Object Detection on Drone Imagery

inferredcites →https://doi.org/10.18653/v1/2023.findings-acl.190openalex-snapshot

Aerial Vision-and-Dialog Navigation

inferredcites →https://doi.org/10.3390/drones7030188openalex-snapshot

MS-YOLOv7:YOLOv7 Based on Multi-Scale for Object Detection on UAV Aerial Photography

inferredcites →https://doi.org/10.3390/drones7030190openalex-snapshot

YOLO-Based UAV Technology: A Review of the Research and Its Applications

inferredcites →https://doi.org/10.3390/drones7080526openalex-snapshot

Drone-YOLO: An Efficient Neural Network Method for Target Detection in Drone Images

inferredcites →https://doi.org/10.3390/drones7090559openalex-snapshot

Fast Opium Poppy Detection in Unmanned Aerial Vehicle (UAV) Imagery Based on Deep Neural Network

inferredcites →https://doi.org/10.3390/drones7100620openalex-snapshot

Real-Time Object Detection Based on UAV Remote Sensing: A Systematic Literature Review

inferredcites →https://doi.org/10.3390/rs13214196openalex-snapshot

YOLO-RTUAV: Towards Real-Time Vehicle Detection through Aerial Images with Low-Cost Edge Devices

inferredcites →https://doi.org/10.3390/rs14010223openalex-snapshot

Flood Detection Using Real-Time Image Segmentation from Unmanned Aerial Vehicles on Edge-Computing Platform

What points at this work

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

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EdgeUNetV2: Fast and Efficient Semantic Segmentation for Rice Field Imagery

inferred← citeshttps://doi.org/10.1007/978-981-92-3429-5_33openalex-snapshot

SGHF-Net: Semantically Guided Hypergraph Fusion Network for UAV Object Detection

inferred← citeshttps://doi.org/10.1007/s11227-026-08234-wopenalex-snapshot

IRT-DETR: a lightweight transformer with ConvNextV2 and Cascaded Group Attention for real-time military aircraft detection in aerial imagery

inferred← citeshttps://doi.org/10.1007/s11554-026-01910-3openalex-snapshot

FFKD-Net: lightweight small-object detection based on feature fusion and knowledge distillation

inferred← citeshttps://doi.org/10.1007/s11760-025-04932-9openalex-snapshot

SD-YOLO: A lightweight and high-performance deep model for small and dense object detection

inferred← citeshttps://doi.org/10.1007/s44443-025-00150-yopenalex-snapshot

Vehicle detection method based on multi-layer selective feature for UAV aerial images

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Extreme small object detection with transformer-based local and global context attention

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113253openalex-snapshot

A lightweight object detection method based on fine-grained information extraction and exchange in UAV aerial images

inferred← citeshttps://doi.org/10.1016/j.solener.2026.114822openalex-snapshot

PhyHGNet: Physics guided micro defect detection in PV thermal imaging

inferred← citeshttps://doi.org/10.1038/s41598-025-31803-7openalex-snapshot

An efficient YOLOv12-based framework for detecting extremely small-scale objects

inferred← citeshttps://doi.org/10.1088/3049-4761/ae1babopenalex-snapshot

Visual navigation method for intelligent flight of highway inspection unmanned aerial vehicle

inferred← citeshttps://doi.org/10.1109/access.2024.3520115openalex-snapshot

CRE-YOLO: Efficient Jaboticaba Tree Detection on UAV Platforms

inferred← citeshttps://doi.org/10.1109/access.2025.3642069openalex-snapshot

A Comprehensive Taxonomy of UAVs: A Comparative Feature Matrix for Hardware, Capabilities, and Payloads

inferred← citeshttps://doi.org/10.1109/atoms60779.2024.10921530openalex-snapshot

YOLOV4 vs YOLOV8 Decisional Spaces Based Comparative Study

inferred← citeshttps://doi.org/10.1109/cisr70722.2026.11680217openalex-snapshot

SAR-YOLO11: A High-Resolution YOLO11 Framework for UAV Thermal Infrared Person Detection in Search-and-Rescue Scenarios

inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11464428openalex-snapshot

RESBIDET: Efficient Dual-Branch Small Object Detection for UAVs under Resource-Constrained Conditions

inferred← citeshttps://doi.org/10.1109/icsipc69751.2026.11584258openalex-snapshot

Lightweight Object Detection Method for UAVs Based on Structured Pruning of YOLOv8 and Synergistic Acceleration with CV-CUDA

inferred← citeshttps://doi.org/10.1109/imcom64595.2025.10857573openalex-snapshot

RS-YOLOv10: Enhancing YOLOv10 for Accurate Small-Object Detection

inferred← citeshttps://doi.org/10.1109/jiot.2026.3664655openalex-snapshot

LVMSOD: Lightweight Visual Mamba Small Object Detection for Autonomous Vehicles

inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3516760openalex-snapshot

FLDet: Faster and Lighter Aerial Object Detector

inferred← citeshttps://doi.org/10.1109/tgrs.2025.3624765openalex-snapshot

A Scale-Aware Multidomain DETR for Small Object Detection in UAV Remote Sensing Imagery

inferred← citeshttps://doi.org/10.1142/s0218001426500357openalex-snapshot

LDA NET: A Lightweight Dual Assignment Network for Extremely Small-Scale Object Detection in UAV Aerial Imagery

inferred← citeshttps://doi.org/10.1371/journal.pone.0315267openalex-snapshot

LCFF-Net: A lightweight cross-scale feature fusion network for tiny target detection in UAV aerial imagery

inferred← citeshttps://doi.org/10.1371/journal.pone.0356260openalex-snapshot

An insulator defect detection method for transmission lines in complex weather conditions based on improved YOLOv8n

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Robust federated learning for UAV object detection: a joint self-distillation and drift compensation approach

inferred← citeshttps://doi.org/10.3390/agriculture16131366openalex-snapshot

Small Target Detection in Agricultural Visual Perception: Progress and Challenges

inferred← citeshttps://doi.org/10.3390/app16189007openalex-snapshot

A Dual-Scale Collaborative Vision Framework for UAV-Based Drowning Behavior Recognition

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Utilizing RT-DETR Model for Fruit Calorie Estimation from Digital Images

inferred← citeshttps://doi.org/10.3390/machines13080684openalex-snapshot

Comparative Analysis of Object Detection Models for Edge Devices in UAV Swarms

inferred← citeshttps://doi.org/10.3390/rs16193712openalex-snapshot

A Low-Cost and Lightweight Real-Time Object-Detection Method Based on UAV Remote Sensing in Transportation Systems

inferred← citeshttps://doi.org/10.3390/rs17122096openalex-snapshot

ELNet: An Efficient and Lightweight Network for Small Object Detection in UAV Imagery

inferred← citeshttps://doi.org/10.3390/s24196347openalex-snapshot

Performance Evaluation of an Object Detection Model Using Drone Imagery in Urban Areas for Semi-Automatic Artificial Intelligence Dataset Construction

inferred← citeshttps://doi.org/10.3390/sym18091548openalex-snapshot

Deep Learning-Based Small-Object Detection in UAV Imagery: A Symmetry-Informed Review of Scale Variation and Scenario Constraints

inferred← citeshttps://doi.org/10.4018/979-8-3373-3546-9.ch001openalex-snapshot

AI-Enabled Multi-Sensor Drones for Real-Time Maritime Search and Rescue

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