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- YOLOv4 is a paper by Alexey Bochkovskiy, Chien-Yao Wang, and Hong-Yuan Mark Liao that proposes a method to improve the accuracy of Convolutional Neural Network (CNN) for object detection while maintaining optimal speed12. The paper discusses the practical testing of combinations of features on large datasets and the theoretical justification of the results1.Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.YOLOv4: Optimal Speed and Accuracy of Object Detection Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao 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.arxiv.org/abs/2004.10934YOLOv4: Optimal Speed and Accuracy of Object Detection Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao (Submitted on 23 Apr 2020) There are a huge number of features which are said to improve Convolutional Neural Network (CNN) accuracy.export.arxiv.org/abs/2004.10934
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YOLOv4: Optimal Speed and Accuracy of Object Detection
Apr 23, 2020 · We use new features: WRC, CSP, CmBN, SAT, Mish activation, Mosaic data augmentation, CmBN, DropBlock regularization, and CIoU loss, and combine some of them to achieve state-of-the-art results: 43.5% AP (65.7% AP50) for the MS COCO dataset at a …
Other content from arxiv.orgYOLOv4: Optimal Speed and Accuracy of Object Detection
Apr 23, 2020 · This work presents region-based, fully convolutional networks for accurate and efficient object detection, and proposes position-sensitive score maps to address a dilemma …
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YOLOv4: Optimal Speed and Accuracy of Object Detection
Apr 22, 2020 · Comparison of the proposed YOLOv4 and other state-of-the-art object detectors. YOLOv4 runs twice faster than EfficientDet with comparable performance. Improves YOLOv3's …
- The majority of CNN-based object detectors are largely applicable only for recommendation systems. For example, searching for free parking spaces via urban video cameras is executed by slow accurate models, whereas car collision warning is related to fast inaccurate models. Improving the real-time object detector accuracy enables using them not onl...
- Author: Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao
- Publish Year: 2020
[2004.10934] YOLOv4: Optimal Speed and Accuracy of Object …
Apr 23, 2020 · YOLOv4: Optimal Speed and Accuracy of Object Detection. There are a huge number of features which are said to improve Convolutional Neural Network (CNN) accuracy. …
YOLOv4: Optimal Speed and Accuracy of Object …
Three state-of-the-art object detection frameworks (i.e., YOLOv4,YOLOv4-tiny, and YOLOv5s) are experimented to measure their performance involved in real-time responsiveness and detection accuracy using the image set.
YOLOv4: Optimal Speed and Accuracy of Object Detection
YOLOv4: Optimal Speed and Accuracy of Object Detection. There are a huge number of features which are said to improve Convolutional Neural Network (CNN) accuracy. Practical testing of …
YOLO v4: Optimal Speed & Accuracy for object detection
May 16, 2020 · YOLO v4 achieves state-of-the-art results (43.5% AP) for real-time object detection and is able to run at a speed of 65 FPS on a V100 GPU. If you want less accuracy …
YOLOv4: Optimal Speed and Accuracy of Object …
We use new features: WRC, CSP, CmBN, SAT, Mish activation, Mosaic data augmentation, CmBN, DropBlock regularization, and CIoU loss, and combine some of them to achieve state-of-the-art results: 43.5% AP (65.7% AP50) for …
Achieving Optimal Speed and Accuracy in Object …
May 16, 2022 · To learn the novel techniques used and various experiments performed to build a practical YOLOv4 object detector that is fast and accurate and run an inference with YOLOv4 for detecting objects in real-time, just keep …
YOLOv4: Optimal Speed and Accuracy of Object Detection
YOLOv4: Optimal Speed and Accuracy of Object Detection. arXiv:2004.10934 [cs.CV]. Chicago style: Bochkovskiy, Alexey , Chien-Yao Wang , and Hong-Yuan Mark Liao .
Title: YOLOv4: Optimal Speed and Accuracy of Object Detection
Apr 23, 2020 · YOLOv4: Optimal Speed and Accuracy of Object Detection. Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao. There are a huge number of features which are said …
Review — YOLOv4: Optimal Speed and Accuracy of Object …
Aug 15, 2021 · 1. YOLOv4: Network Architecture (Figure from https://aiacademy.tw/yolo-v4-intro/) 1.1. Selection of Backbone. It is found that CSPResNext50 is considerably better compared to …
YOLOv4: Optimal Speed and Accuracy of Object Detection
Apr 23, 2020 · YOLOv4: Optimal Speed and Accuracy of Object Detection. Published on Apr 23, 2020. Authors: Alexey Bochkovskiy , Chien-Yao Wang. , Hong-Yuan Mark Liao. Abstract. …
YOLOv4: Optimal Speed and Accuracy of Object Detection
Yolov4 is highly practical and focuses on training fast object detectors with only one 1080Ti or 2080Ti GPU card. Yolov4 runs twice as fast as EfficientDet. Overall YOLOv4 is not very …
The main goal of this work is designing a fast operating speed of an object detector in production systems and opti-mization for parallel computations, rather than the low com-putation volume …
YOLOv4: Optimal Speed and Accuracy of Object Detection - scite
YOLOv4: Optimal Speed and Accuracy of Object Detection. Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao. Help me understand this report. Export report. Add to …
YOLOv4: Optimal Speed and Accuracy of Object Detection - ar5iv
We use new features: WRC, CSP, CmBN, SAT, Mish activation, Mosaic data augmentation, CmBN, DropBlock regularization, and CIoU loss, and combine some of them to achieve state …
YOLOv4: Optimal Speed and Accuracy of Object Detection
Yolov4 is highly practical and focuses on training fast object detectors with only one 1080Ti or 2080Ti GPU card. Yolov4 runs twice as fast as EfficientDet. Overall YOLOv4 is not very …
Comparison of CNN-Based Architectures for Detection of …
2 days ago · The results showed that the YOLOv5 algorithm provided the best detection accuracy for both floating and underwater mines, achieving high performance with a relatively short …
Fast and accurate detection of kiwifruits in the natural …
The detection speed of YOLOv4-GS was 11.3 times and 2.6 times higher than Faster R-CNN and SSD-300, respectively. In the indoor picking experiment and the orchard picking experiment, …
Adaptive occlusion object detection algorithm based on OL-IoU
1 day ago · Table 3 shows the comparison between the method proposed in this paper and the current mainstream single-stage object detection algorithms in terms of average accuracy, …
YOLOv4: Optimal Speed and Accuracy of Object Detection
Apr 23, 2020 · We use new features: WRC, CSP, CmBN, SAT, Mish activation, Mosaic data augmentation, CmBN, DropBlock regularization, and CIoU loss, and combine some of them to …
BN-YOLO: a lightweight method for bird’s nest detection on
1 day ago · The increased processing speed without compromising detection accuracy highlights the practical advantages of BN-YOLO, especially for real-time applications. The results show …
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