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Vision-Based Anti-UAV Detection Based on YOLOv7-GS in Complex Backgrounds

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-58452-8_13openalex-snapshot
End-to-End Object Detection with Transformers
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_2openalex-snapshot
SSD: Single Shot MultiBox Detector
inferredcites →https://doi.org/10.1007/s40789-019-00264-5openalex-snapshot
A review of UAV monitoring in mining areas: current status and future perspectives
inferredcites →https://doi.org/10.1109/access.2019.2909530openalex-snapshot
Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges
inferredcites →https://doi.org/10.1109/access.2019.2924960openalex-snapshot
A Simple and Efficient Network for Small Target Detection
inferredcites →https://doi.org/10.1109/afrcon.2011.6072032openalex-snapshot
Development of an UAV for search & rescue applications
inferredcites →https://doi.org/10.1109/cvpr.2016.319openalex-snapshot
Learning Deep Features for Discriminative Localization
inferredcites →https://doi.org/10.1109/cvpr.2017.106openalex-snapshot
Feature Pyramid Networks for Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.189openalex-snapshot
Large Kernel Matters — Improve Semantic Segmentation by Global Convolutional Network
inferredcites →https://doi.org/10.1109/cvpr.2018.00913openalex-snapshot
Path Aggregation Network for Instance Segmentation
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01166openalex-snapshot
Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01167openalex-snapshot
A ConvNet for the 2020s
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01330openalex-snapshot
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small 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/cvprw59228.2023.00304openalex-snapshot
A Global-Local Tracking Framework Driven by Both Motion and Appearance for Infrared Anti-UAV
inferredcites →https://doi.org/10.1109/cvprw59228.2023.00305openalex-snapshot
A Unified Transformer-based Tracker for Anti-UAV Tracking
inferredcites →https://doi.org/10.1109/iccv.2017.322openalex-snapshot
Mask R-CNN
inferredcites →https://doi.org/10.1109/iccv.2019.00972openalex-snapshot
FCOS: Fully Convolutional One-Stage Object Detection
inferredcites →https://doi.org/10.1109/iccv.2019.00975openalex-snapshot
RepPoints: Point Set Representation for Object Detection
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/jrfid.2022.3206841openalex-snapshot
Cotton Disease Detection Based on ConvNeXt and Attention Mechanisms
inferredcites →https://doi.org/10.1109/lra.2023.3346800openalex-snapshot
Can an Embodied Agent Find Your “Cat-shaped Mug”? LLM-Based Zero-Shot Object Navigation
inferredcites →https://doi.org/10.1109/tip.2020.3028196openalex-snapshot
SAFNet: A Semi-Anchor-Free Network With Enhanced Feature Pyramid for Object Detection
inferredcites →https://doi.org/10.1109/tip.2021.3118953openalex-snapshot
Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection
inferredcites →https://doi.org/10.1109/tits.2022.3158253openalex-snapshot
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles
inferredcites →https://doi.org/10.1109/tits.2022.3177627openalex-snapshot
Vision-Based Anti-UAV Detection and Tracking
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/tsmc.2020.3005231openalex-snapshot
A Survey of the Four Pillars for Small Object Detection: Multiscale Representation, Contextual Information, Super-Resolution, and Region Proposal
inferredcites →https://doi.org/10.1109/wacvw58289.2023.00029openalex-snapshot
YOLOv7-sea: Object Detection of Maritime UAV Images based on Improved YOLOv7
inferredcites →https://doi.org/10.1145/2750675.2750683openalex-snapshot
An Autonomous Multi-UAV System for Search and Rescue
inferredcites →https://doi.org/10.1177/1729881420962907openalex-snapshot
Low-altitude protection technology of anti-UAVs based on multisource detection information fusion
inferredcites →https://doi.org/10.1177/17568293211004846openalex-snapshot
Design of bio-inspired binocular UAV detection system based on improved STC algorithm of scale transformation and occlusion detection
inferredcites →https://doi.org/10.3390/drones7020114openalex-snapshot
Semantic Scene Understanding with Large Language Models on Unmanned Aerial Vehicles
inferredcites →https://doi.org/10.3390/electronics12040817openalex-snapshot
KPE-YOLOv5: An Improved Small Target Detection Algorithm Based on YOLOv5
inferredcites →https://doi.org/10.3390/electronics12102323openalex-snapshot
DC-YOLOv8: Small-Size Object Detection Algorithm Based on Camera Sensor
inferredcites →https://doi.org/10.3390/electronics12173664openalex-snapshot
YOLO-Drone: An Optimized YOLOv8 Network for Tiny UAV Object Detection
inferredcites →https://doi.org/10.3390/info10110349openalex-snapshot
A Review on UAV-Based Applications for Precision Agriculture
inferredcites →https://doi.org/10.3778/j.issn.1673-9418.2102001openalex-snapshot
SSD Object Detection Algorithm with Attention and Cross-Scale Fusion
inferredcites →https://doi.org/10.48550/arxiv.2106.04263openalex-snapshot
On the Connection between Local Attention and Dynamic Depth-wise Convolution
inferredcites →https://doi.org/10.52202/075280-2224openalex-snapshot
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism
inferredcites →https://doi.org/10.52202/075280-2688openalex-snapshot
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-981-95-7648-7_14openalex-snapshot
Vision-Based Anti-UAV Target Detection
inferred← citeshttps://doi.org/10.1016/j.ast.2025.111319openalex-snapshot
DCR-YOLO: An enhanced anti-UAV detection method based on triple collaborative optimization strategy
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.131912openalex-snapshot
RoeNet: Physics-inspired deep learning network for UAV detection and tracking
inferred← citeshttps://doi.org/10.1016/j.fraope.2026.100541openalex-snapshot
Enhanced UAV target recognition via YOLOv8-SR with optimized super-resolution and hyperparameters
inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104787openalex-snapshot
Registration-free visible-thermal fusion for UAV detection
inferred← citeshttps://doi.org/10.1016/j.jatrs.2025.100093openalex-snapshot
On the construction of effective DRONEWALLS: Technologies and challenges for Counter-UAV systems
inferred← citeshttps://doi.org/10.1016/j.patrec.2026.04.035openalex-snapshot
UA-YOLO: An uncertainty-aware network for robust UAV detection
inferred← citeshttps://doi.org/10.1016/j.robot.2025.105074openalex-snapshot
Analysis of vision-based Air-to-Air UAV detection using YOLO based architectures
inferred← citeshttps://doi.org/10.1038/s41598-025-95580-zopenalex-snapshot
Improved YOLO for long range detection of small drones
inferred← citeshttps://doi.org/10.1080/24751839.2026.2616897openalex-snapshot
Advanced drone detection via ground-based RGB surveillance using efficient deep learning architectures
inferred← citeshttps://doi.org/10.1109/aiot66900.2025.00031openalex-snapshot
ROISD: RIS and O-RAN Assisted Intelligent Sensing for UAV Detection
inferred← citeshttps://doi.org/10.1109/cvidl70130.2026.11637539openalex-snapshot
Research on Target Detection Algorithms for Anti-Drone Applications
inferred← citeshttps://doi.org/10.1109/cvprw67362.2025.00663openalex-snapshot
Securing the Skies: a Comprehensive Survey on Anti-Uav Methods, Benchmarking, and Future Directions
inferred← citeshttps://doi.org/10.1109/eiecs67708.2025.11283525openalex-snapshot
Research on Low-Slow-Small Target Detection Technology Based on Improved YOLOv10n
inferred← citeshttps://doi.org/10.1109/icuas69441.2026.11598650openalex-snapshot
Distributed Multi-Station Data Fusion for UAV Tracking Combining Vision and mmWave Radar
inferred← citeshttps://doi.org/10.1109/punecon67554.2025.11378548openalex-snapshot
Small Object Detection and Classification Using YOLO on Multi-Dataset Drone Imagery
inferred← citeshttps://doi.org/10.1109/spic68204.2025.11470709openalex-snapshot
UAV Detection Method based on Multi-Scale Feature Fusion and Dual Attention Mechanism Collaboration
inferred← citeshttps://doi.org/10.1109/tgrs.2026.3658082openalex-snapshot
DFFormer: UAV Object Detection via Feature Scaling and Interaction
inferred← citeshttps://doi.org/10.1371/journal.pone.0330074openalex-snapshot
Detecting infrared UAVs on edge devices through lightweight instance segmentation
inferred← citeshttps://doi.org/10.3390/app16157423openalex-snapshot
A Lightweight Small-UAV Detection via Synergistically Enhanced YOLOv11
inferred← citeshttps://doi.org/10.3390/drones10010008openalex-snapshot
CNIFE: Anti-UAV Detection Network via Cross-Scale Non-Local Interaction and Feature Enhancement
inferred← citeshttps://doi.org/10.3390/drones8090518openalex-snapshot
A Survey on Vision-Based Anti Unmanned Aerial Vehicles Methods
inferred← citeshttps://doi.org/10.3390/drones8100573openalex-snapshot
UAV Hunter: A Net-Capturing UAV System with Improved Detection and Tracking Methods for Anti-UAV Defense
inferred← citeshttps://doi.org/10.3390/drones9010011openalex-snapshot
A Lightweight Anti-Unmanned Aerial Vehicle Detection Method Based on Improved YOLOv11
inferred← citeshttps://doi.org/10.3390/drones9010058openalex-snapshot
Recent Research Progress on Ground-to-Air Vision-Based Anti-UAV Detection and Tracking Methodologies: A Review
inferred← citeshttps://doi.org/10.3390/rs17040705openalex-snapshot
A Lightweight Drone Detection Method Integrated into a Linear Attention Mechanism Based on Improved YOLOv11
inferred← citeshttps://doi.org/10.3390/rs17132313openalex-snapshot
YOLO-SRMX: A Lightweight Model for Real-Time Object Detection on Unmanned Aerial Vehicles
inferred← citeshttps://doi.org/10.3390/s24227148openalex-snapshot
DRBD-YOLOv8: A Lightweight and Efficient Anti-UAV Detection Model
inferred← citeshttps://doi.org/10.3390/technologies13050177openalex-snapshot
Simplified LSL-Net Architecture for Unmanned Aerial Vehicle Detection in Real-Time
inferred← citeshttps://doi.org/10.3724/bnsfc-2025-0024openalex-snapshot
Multimodal Anti-UAV Detection System and Technology
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