• Corpus ID: 216080778

YOLOv4: Optimal Speed and Accuracy of Object Detection

@article{Bochkovskiy2020YOLOv4OS,
  title={YOLOv4: Optimal Speed and Accuracy of Object Detection},
  author={Alexey Bochkovskiy and Chien-Yao Wang and Hong-Yuan Mark Liao},
  journal={ArXiv},
  year={2020},
  volume={abs/2004.10934}
}
There are a huge number of features which are said to improve Convolutional Neural Network (CNN) accuracy. Practical testing of combinations of such features on large datasets, and theoretical justification of the result, is required. Some features operate on certain models exclusively and for certain problems exclusively, or only for small-scale datasets; while some features, such as batch-normalization and residual-connections, are applicable to the majority of models, tasks, and datasets. We… 

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