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

30 July 2024

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

6 / 6 papers shown

Title
YOLOv4: Optimal Speed and Accuracy of Object Detection Alexey Bochkovskiy Chien-Yao Wang H. Liao VLM ObjD 164 12,299 0 23 Apr 2020
Cross-Iteration Batch Normalization Zhuliang Yao Yu Cao Shuxin Zheng Gao Huang Stephen Lin 59 86 0 13 Feb 2020
CSPNet: A New Backbone that can Enhance Learning Capability of CNN Chien-Yao Wang H. Liao I-Hau Yeh Yueh-hua Wu Ping-Yang Chen J. Hsieh 90 3,101 0 27 Nov 2019
EfficientDet: Scalable and Efficient Object Detection Mingxing Tan Ruoming Pang Quoc V. Le 115 5,061 0 20 Nov 2019
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 790 36,881 0 25 Aug 2016
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 718 37,020 0 08 Jun 2015