Comparative Study of a Computer Vision Technique for Locating Instances of Objects in Images Using YOLO Versions: A Review
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Several prior reviews of YOLO architectures focus on specific YOLO variants or particular application domains.
“Although several papers have reviewed YOLO architectures, they often exhibit limitations such as focusing on specific YOLO variants [10], [11], or concentrating on particular application domains [12].”
From YOLOv1 to v8: Unveiling Each Variant–A Comprehensive Review of YOLO (2024) · cites this paper as [11]
Cites
You Only Look Once: Unified, Real-Time Object Detection
Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.91 · Cited by 53,803 · see citing works
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications
Li, C., Li, L., Jiang, H., Weng, K., Geng, Y., Li, L., Ke, Z., Li, Q., Cheng, M., Nie, W., et al. (2022) · arXiv · doi:10.48550/arxiv.2209.02976 · Cited by 1,792 · see citing works
Object detection using YOLO: challenges, architectural successors, datasets and applications
Diwan, T., Anirudh, G., & Tembhurne, J. V. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-022-13644-y · Cited by 1,549 · see citing works
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YOLOv1 to v8: Unveiling Each Variant–A Comprehensive Review of YOLO
Hussain, M. (2024) · IEEE Access · doi:10.1109/access.2024.3378568 · Cited by 492 · see citing works
- Authors
- Khaire, P. P., Shelke, R. D., Hiran, D., & Patil, M.
- Affiliations
- University of Mumbai (IN)
- Corresponding author
- Khaire, Prajkta P.
- Venue
- Smart Innovation, Systems and Technologies
- Publisher
- Springer Nature Singapore
- Published
- 2023
- Pages
- 349-359
- ISSN
- 2190-3018 (ISSN-L)
- 2190-3026
- OpenAlex
- W4386549277
- Cited by
- 5
- References
- 3
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2
- FWCI
- 0.54
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- Smart innovation, systems and technologies (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- YOLO, object detection, instance segmentation, detection accuracy, inference speed, feature extraction, target recognition, computer vision
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