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Title: YOLOv4: Optimal Speed and Accuracy of Object Detection
WEBApr 23, 2020 · View a PDF of the paper titled YOLOv4: Optimal Speed and Accuracy of Object Detection, by Alexey Bochkovskiy and 2 other authors. There are a huge number …
- Author: Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao
- Cite as: arXiv:2004.10934 [cs.CV]
- Publish Year: 2020
See results only from arxiv.org[2004.10934] YOLOv4: O…
YOLOv4: Optimal Speed and Accuracy of Object Detection. There are a huge …
arXiv:2209.02976v1 [cs.CV] …
lowing YOLOv4 and YOLOv5. We enhance the neck with RepBlocks or …
arXiv.org e-Print archive
Explore a wide range of e-prints on the arXiv.org archive, including papers on …
YOLOv4: Optimal Speed …
Figure 1: Comparison of the proposed YOLOv4 and other state-of-the-art …
- 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
WEBFigure 1: Comparison of the proposed YOLOv4 and other state-of-the-art object detectors. YOLOv4 runs twice faster than EfficientDet with comparable performance. Improves …
YOLOv4: Optimal Speed and Accuracy of Object …
WEBApr 23, 2020 · TLDR. This work uses new features: WRC, CSP, CmBN, SAT, Mish activation, Mosaic data augmentation, C mBN, DropBlock regularization, and CIoU loss, and combine some of them to achieve …
[2004.10934] YOLOv4: Optimal Speed and Accuracy of Object …
WEBApr 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) …
ultralytics/docs/en/models/yolov4.md at main - GitHub
WEBExplore YOLOv4, a state-of-the-art real-time object detection model by Alexey Bochkovskiy. Discover its architecture, features, and performance.
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YOLOv4: Optimal Speed and Accuracy of Object …
WEBIn this research, we designed an automated drone detection system using YOLOv4. The model was trained using drone and bird datasets. We then evaluated the trained YOLOv4 model on the testing dataset, using mean …
YOLOv4: Optimal Speed and Accuracy of Object …
WEBWe 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 …
YOLOv4: Optimal Speed and Accuracy of Object Detection
WEBYOLOv4: 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 - Ultralytics YOLO Docs
WEBNov 12, 2023 · YOLOv4 architecture diagram. Showcasing the intricate network design of YOLOv4, including the backbone, neck, and head components, and their interconnected …
WEBAdditionally, PDF files can be easily annotated, bookmarked, and searched for specific terms, making them highly practical for studying or referencing. When it comes to …
YOLO-OBJECT-DETECTION-TUTORIALS/YoloV4.pdf at main
WEBYoloV4.pdf. Cannot retrieve latest commit at this time. Contribute to MLForNerds/YOLO-OBJECT-DETECTION-TUTORIALS development by creating an account on GitHub.
WEBYOLO has become a central real-time object detection system for robotics, driverless cars, and video monitoring applications. We present a comprehensive analysis of YOLO’s …
(PDF) YOLOv4: Optimal Speed and Accuracy of Object Detection …
WEBApr 22, 2020 · Comparison of the proposed YOLOv4 and other state-of-the-art object detectors. YOLOv4 runs twice faster than EfficientDet with comparable performance. …
ABYOLOv4: improved YOLOv4 human object detection based on …
WEBJan 4, 2024 · YOLOv4 consists of three main components: the backbone network (CSPDarkNet53) for feature extraction, the Spatial Pyramid Pooling (SPP) module to …
YOLOv4: Optimal Speed and Accuracy of Object Detection - ar5iv
WEBYOLOv4: Optimal Speed and Accuracy of Object Detection. Abstract. There are a huge number of features which are said to improve Convolutional Neural Network (CNN) …
WEBAbstract. Research on deep learning has always had two main streams: (1) design a powerful network architecture and train it with existing learning methods to achieve the …
WEBIn conclusion, the availability of Yolov4 Optimal Speed And Accuracy Of Object Detection free PDF books and manuals for download has revolutionized the way we access and …
WEBlowing YOLOv4 and YOLOv5. We enhance the neck with RepBlocks or CSPStackRep Blocks to have Rep-PAN. Head: We simplify the decoupled head to make it more …
(PDF) YOLOv3 and YOLOv4: Multiple Object Detection for …
WEBAug 1, 2020 · The results indicate that Faster RCNN beats YOLOv3 and YOLOV4 in car detection with low error detection, whereas YOLOv3 and YOLOv4 outperform near-miss …
WEBWe show that the YOLOv4 object detection neural net-work based on the CSP approach, scales both up and down and is applicable to small and large networks while main …
A Comprehensive Review of YOLO Architectures in Computer …
WEBYOLO has become a central real-time object detection system for robotics, driverless cars, and video monitoring applications. We present a comprehensive analysis of YOLO’s …
Efficient Optimized YOLOv8 Model with Extended Vision - MDPI
WEB1 day ago · In the field of object detection, enhancing algorithm performance in complex scenarios represents a fundamental technological challenge. To address this issue, this …
《YOLO Paper》1.0 YOLO系列论文必读论文7篇_人工智能_汉 …
WEBJul 26, 2023 · ModelScope魔搭社区 《YOLO Paper》1.0 YOLO系列论文必读论文7篇. 《YOLO Paper》1.0 YOLO系列论文必读论文7篇. 最近开启了论文100计划，准备阅读整 …
arXiv.org e-Print archive
WEBExplore a wide range of e-prints on the arXiv.org archive, including papers on YOLO object detection and its various architectures.
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