mlsanityData to 14 Oct 2026

What is YOLOv5: A deep look into the internal features of the popular object detector

arXiv 2407.20892 ↗First posted 30 Jul 2024cs.CVcited by 37

Not on the map. Why?

Abstract (arXiv)

This study presents a comprehensive analysis of the YOLOv5 object detection model, examining its architecture, training methodologies, and performance. Key components, including the Cross Stage Partial backbone and Path Aggregation-Network, are explored in detail. The paper reviews the model's performance across various metrics and hardware platforms. Additionally, the study discusses the transition from Darknet to PyTorch and its impact on model development. Overall, this research provides insights into YOLOv5's capabilities and its position within the broader landscape of object detection and why it is a popular choice for constrained edge deployment scenarios.

Key facts. Cited by 37 papers in the map (data through 14 Oct 2026). Builds on 6 of its 23 references that are in the map. First posted on arXiv 30 Jul 2024.

Builds on

6 of 23 references.

References · 6

  1. 2016Densely Connected Convolutional Networkscited by 6,720
  2. 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,852
  3. 2020YOLOv4: Optimal Speed and Accuracy of Object Detectioncited by 1,630
  4. 2019EfficientDet: Scalable and Efficient Object Detectioncited by 1,020
  5. 2019CSPNet: A New Backbone that can Enhance Learning Capability of CNNcited by 381
  6. 2020Cross-Iteration Batch Normalizationcited by 20

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 3; 2025: 17; 2026: 17.

37 papers.

Sort:

By area:

  1. 2024YOLOv11: An Overview of the Key Architectural Enhancementscited by 425
  2. 2024What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detectorcited by 45
  3. 2026Robot Learning from Human Videos: A Surveycited by 5
  4. 2024What is YOLOv9: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detectorcited by 4
  5. 2025VaseVQA-3D: Benchmarking 3D VLMs on Ancient Greek Potterycited by 4
  6. 2025Image-Goal Navigation Using Refined Feature Guidance and Scene Graph Enhancementcited by 3
  7. 2025Less Redundancy: Boosting Practicality of Vision Language Model in Walking Assistantscited by 2
  8. 2026Real-Time Oriented Object Detection Transformer in Remote Sensing Imagescited by 2
  9. 2026Rethinking Video Human-Object Interaction: Set Prediction over Time for Unified Detection and Anticipationcited by 2
  10. 2025Frequency Domain Enhanced U-Net for Low-Frequency Information-Rich Image Segmentation in Surgical and Deep-Sea Exploration Robotscited by 1
  11. 2025High-Frequency Semantics and Geometric Priors for End-to-End Detection Transformers in Challenging UAV Imagerycited by 1
  12. 2025An Analysis of Kalman Filter based Object Tracking Methods for Fast-Moving Tiny Objectscited by 1
25 more
  1. 2025Heatmap Pooling Network for Action Recognition from RGB Videoscited by 1
  2. 2026Tetris: Tile-level Sampling for Efficient and High-Fidelity Video Object Trackingcited by 1
  3. 2026CP-WSP: A Declarative CP-SAT Framework for Configurable Multi-Constraint Workforce Schedulingcited by 1
  4. 2026Bridging the Catalog-to-Real Gap: Scalable Product Recognition via Multi-Stage Contrastive Learningcited by 1
  5. 2026Calibration-Free 3D Multi-Camera People Tracking for Indoor Environmentcited by 1
  6. 2025A Review of YOLOv12: Attention-Based Enhancements vs. Previous Versionscited by 0
  7. 2025DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classificationcited by 0
  8. 2025Geofenced Unmanned Aerial Robotic Defender for Deer Detection and Deterrence (GUARD)cited by 0
  9. 2025YOLO-APD: Enhancing YOLOv8 for Robust Pedestrian Detection on Complex Road Geometriescited by 0
  10. 2025Detecci'on y Cuantificaci'on de Erosi'on Fluvial con Visi'on Artificialcited by 0
  11. 2025Ensemble YOLO Framework for Multi-Domain Mitotic Figure Detection in Histopathology Imagescited by 0
  12. 2025Can You Trust What You See? Alpha Channel No-Box Attacks on Video Object Detectioncited by 0
  13. 2025Physics-Guided Fusion for Robust 3D Tracking of Fast Moving Small Objectscited by 0
  14. 2025Multi-view Phase-aware Pedestrian-Vehicle Incident Reasoning Framework with Vision-Language Modelscited by 0
  15. 2025MT-Depth: Multi-task Instance feature analysis for the Depth Completioncited by 0
  16. 2026AurigaNet: A Real-Time Multi-Task Network for Enhanced Urban Driving Perceptioncited by 0
  17. 2026Alignment-Aware and Reliability-Gated Multimodal Fusion for Unmanned Aerial Vehicle Detection Across Heterogeneous Thermal-Visual Sensorscited by 0
  18. 2026IUP-Pose: Decoupled Iterative Uncertainty Propagation for Real-time Relative Pose Regression via Implicit Dense Alignment v1cited by 0
  19. 2026A Marine Debris Detection Framework for Ocean Robots via Self-Attention Enhancement and Feature Interaction Optimizationcited by 0
  20. 2026DART: A design-aware microfluidic chip paradigm for real-time live-cell image analysiscited by 0
  21. 2026LEVIRDet: A Million-Scale 159-Category Dataset and Foundation Model for Universal Remote Sensing Object Detectioncited by 0
  22. 2026Zero-Shot Quantization for Object Detectors using Off-the-Shelf Generative Modelscited by 0
  23. 2026A Stereo Visual SLAM System Using Object-Level Motion Estimation and Geometric Filtering Based on Cross Disparitycited by 0
  24. 2026Impact of Dataset Composition on Embedded Real-Time UAV Wildfire Detection Using Compact YOLO Modelscited by 0
  25. 2026DensePed-Lite: Quality-Aware Adaptive Detection for Dense Pedestrians under Occlusioncited by 0