Exploring the efficacy and comparative analysis of one-stage object detectors for computer vision: a review

Author:

Mustapha Ahmad AbubakarORCID,Yoosuf Mohamed Sirajudeen

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference81 articles.

1. Lin T-Y, Goyal P, Girshick R, He K, Dollár P (2017a) Focal loss for dense object detection. In: Proceedings of the IEEE international conference on computer vision, pp 2980–2988

2. Redmon J, Farhadi A (2017) YOLO9000: better, faster, stronger. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 7263–7271

3. Girshick R (2015) Fast R-CNN. In: Proceedings of the IEEE international conference on computer vision, pp 1440–1448

4. Liu W, Anguelov D, Erhan D, Szegedy C, Reed S, Cheng-Yang F, Berg AC (2016) SSD: Single shot multibox detector. In: Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part I 14. Springer International Publishing, pp 21–37

5. Jiang P, Ergu D, Liu F, Cai Y, Ma Bo (2022) A Review of Yolo algorithm developments. Proc Comput Sci 199:1066–1073

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