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Studies of pp yolov4 PDF
ResearchGate
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 combinations of such features on large datasets, and theoretical justification of the result, is required. Some features operate on certain models exclusively and for certa...
Published: 2020/04/22
ResearchGate
YOLOv4‐dense: A smaller and faster YOLOv4 for real‐time edge‐device based object detection in traffic scene
Edge‐device‐based object detection is crucial in many real‐world applications, such as self‐driving cars, ADAS, driver behavior analysis. Although deep learning (DL) has become the de‐facto approach for object detection, the limited computing resources of embedded devices and the large model size of...
Author: Yue Jiang, We…
Published: 2022/11/08
DOI: 10.1049/ipr2.12656
ResearchGate
PP-YOLO: An Effective and Efficient Implementation of Object Detector
Object detection is one of the most important areas in computer vision, which plays a key role in various practical scenarios. Due to limitation of hardware, it is often necessary to sacrifice accuracy to ensure the infer speed of the detector in practice. Therefore, the balance between effectivenes...
Author: Xiang Long, K…
Published: 2020/07/23
arXiv.org
PP-YOLOv2: A Practical Object Detector
Being effective and efficient is essential to an object detector for practical use. To meet these two concerns, we comprehensively evaluate a collection of existing refinements to improve the performance of PP-YOLO while almost keep the infer time unchanged. This paper will analyze a collection of r...
Author: Huang, Xin, W…
Published: 2021/04/21
Cite As: arXiv:2104.10…
arXiv.org
PP-YOLO: An Effective and Efficient Implementation of Object Detector
Object detection is one of the most important areas in computer vision, which plays a key role in various practical scenarios. Due to limitation of hardware, it is often necessary to sacrifice accuracy to ensure the infer speed of the detector in practice. Therefore, the balance between effectivenes...
Author: Long, Xiang, D…
Published: 2020/07/23
Cite As: arXiv:2007.12…
arXiv.org
https://arxiv.org/abs/2004.10934
Title: YOLOv4: Optimal Speed and Accuracy of Object Detection
Apr 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 of features …
- Author: Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao
- Cite as: arXiv:2004.10934 [cs.CV]
- Publish Year: 2020
- [2104.10419] PP-YOLOv2: …
  View a PDF of the paper titled PP-YOLOv2: A Practical Object Detector, by Xin …
- [2007.12099] PP-YOLO: An …
  View a PDF of the paper titled PP-YOLO: An Effective and Efficient …
- YOLOv4: Optimal Speed an…
  YOLOv4 runs twice faster than EfficientDet with comparable performance. Improves …
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arXiv.org
https://arxiv.org/pdf/2007.12099
[PDF]
[email protected] arXiv:2007.12099v3 [cs.CV] 3 Aug 2020
per are conducted based on PaddlePaddle, we call it PP-YOLO. By combining multiple tricks, PP-YOLO can achieve a better balance between effectiveness (45.2% mAP) and efﬁciency (72.9 …
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Publish Year:2020
YOLOv4
arXiv.org
https://arxiv.org/pdf/2004.10934
[PDF]
YOLOv4: Optimal Speed and Accuracy of Object Detection
1. Introduction
2.2. Bag of freebies
YOLO v4 uses:
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...
See more on arxiv.org
- Author: Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao
- Publish Year: 2020
ResearchGate
https://www.researchgate.net/publication/340883401
(PDF) 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 …
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Yolov4 Speed
Accuracy of Yolov4
Yolov4 Optimal
Machine Learning
Semantic Scholar
https://www.semanticscholar.org/paper/YOLOv4...
YOLOv4: Optimal Speed and Accuracy of Object Detection
Apr 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 …
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Yolov4 Speed
Accuracy of Yolov4
Yolov4 Optimal
Machine Learning
export.arxiv.org
http://export.arxiv.org/abs/2004.10934
Title: YOLOv4: Optimal Speed and Accuracy of Object Detection
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. …
Tags:
Yolov4 Speed
Accuracy of Yolov4
Yolov4 Optimal
Yolov4 Object Detection
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Which is better yolov4 or efficientdet?
YOLOv4 runs twice faster than EfficientDet with comparable performance. Improves YOLOv3's AP and FPS by 10% and 12%, respectively. Object detector. Mosaic represents a new method of data augmentation. mixed, while CutMix mixes only 2 input images. This allows detection of objects outside their normal context.
(PDF) YOLOv4: Optimal Speed and Accuracy of Object Detection - Res…
researchgate.net
How does yolov4 compare with PP-Yolo?
low-resource edge devices. input size (see Table 4). Compared to YOLOv4, YOLOv4- improve the FPS of the models. precision. W e visualize some samples in Figure 3,itcanbe small objects. ond smallest model size. Although PP-YOLO-tiny receiv es poorly on mAP. As shown in Figure 6, comparing with and “sign”.
(PDF) YOLOv4‐dense: A smaller and faster YOLOv4 for ... - ResearchGate
researchgate.net
Which yolov4 is best?
If considering the balance in terms of accuracy, speed and computational cost, YOLOv4 was found to be most suitable and had the highest accuracy metrics while satisfying a real time speed of greater than or equal to 24 FPS.
YOLOv4: Optimal Speed and Accuracy of Object Detection - Academia.e…
academia.edu
What is yolov4 model?
The proposed model includes a YOLOv4-based framework and inverse perspective mapping for accurate people detection and social distancing monitoring in challenging conditions, including people occlusion, partial visibility, and lighting variations.
YOLOv4: Optimal Speed and Accuracy of Object Detection - Academia.e…
academia.edu
How did yolov4 find the optimal balance?
YOLOv4 tried to find the optimal balance by experimenting with many changes categorized as bag-of-freebies and bag-of-specials. Bag-of-freebies are methods that only change the training strategy and increase training cost but do not increase the inference time, the most common being data augmentation.
A Comprehensive Review of YOLO: From YOLOv1 to YOLOv8 and Beyond
arxiv.org
What is yolov4 tiny?
The scaled-down architecture was called YOLOv4-tiny; it was designed for low-end GPUs and can run at 46 FPS on a Jetson TX2 or 440 FPS on RTX2080Ti, achieving 22% AP on MS COCO. The scaled-up model architecture was called YOLOv4-large, which included three different sizes P5, P6, and P7.
A Comprehensive Review of YOLO Architectures in Computer Vision: Fr…
arxiv.org
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https://paperswithcode.com/paper/yolov4-optimal...
YOLOv4: Optimal Speed and Accuracy of Object Detection
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 …
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Yolov4 Speed
Accuracy of Yolov4
Yolov4 Optimal
Yolov4 Object Detection
Academia.edu
https://www.academia.edu/72590795/YOLOv4_Opti…
YOLOv4: Optimal Speed and Accuracy of Object …
The goal of this study is to apply different YOLO models for pothole detection. Three state-of-the-art object detection frameworks (i.e., YOLOv4,YOLOv4-tiny, and YOLOv5s) are experimented to measure their performance involved in …
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Yolov4 Speed
Accuracy of Yolov4
Yolov4 Optimal
Yolov4 Object Detection
NASA/ADS
https://ui.adsabs.harvard.edu/abs/2020arXiv200410934B
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 …
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Accuracy of Yolov4
Yolov4 Optimal
Yolov4 Object Detection
ResearchGate
https://www.researchgate.net/publication/365202190...
(PDF) YOLOv4‐dense: A smaller and faster YOLOv4 for …
Nov 8, 2022 · Experimental results on NVIDIA JETSON TX2 embedded platform demonstrate that YOLOv4‐dense can achieve a higher accuracy, faster speed with smaller model size.
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Object detection
Edge device
crowley-coutaz.fr
https://crowley-coutaz.fr/jlc/Courses/2020/PRML/YOLO-v4.pdf
[PDF]
YOLOv4: Optimal Speed and Accuracy of Object Detection
Improves YOLOv3’s AP and FPS by 10% and 12%, respectively. The main goal of this work is designing a fast operating speed of an object detector in production systems and opti-mization …
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Yolov4 Speed
Accuracy of Yolov4
Yolov4 Optimal
Yolov4 Object Detection
CVF Open Access
https://openaccess.thecvf.com/content/ICCV2021W/...
[PDF]
Exploring the Power of Lightweight YOLOv4 - CVF Open …
Abstract. 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 best results, and …
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Machine Learning
Deep Learning
Publish Year:2021
Semantic Scholar
https://www.semanticscholar.org/paper/PP-YOLO:-An...
[PDF] PP-YOLO: An Effective and Efficient Implementation of …
Jul 23, 2020 · A new enhanced YOLOv4-based model is proposed that outperforms the accuracy of YOLov4 without considerably compromising its speed and several optimization techniques …
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Yolov4 Speed
Accuracy of Yolov4
arXiv.org
https://arxiv.org/pdf/2304.00501v1
[PDF]
A Comprehensive Review of YOLO: From YOLOv1 to …
The paper begins by exploring the foundational concepts and architecture of the original YOLO model, which set the stage for the subsequent advances in the YOLO family. Following this, …
CVF Open Access
https://openaccess.thecvf.com/content/CVPR2021/...
[PDF]
Scaled-YOLOv4: Scaling Cross Stage Partial Network - CVF …
We 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-taining optimal …
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Yolov4 Speed
Accuracy of Yolov4
Yolov4 Optimal
Yolov4 Object Detection
arXiv.org
https://arxiv.org/html/2304.00501v6
A Comprehensive Review of YOLO Architectures in Computer …
This paper aims to provide a comprehensive review of the YOLO framework’s development, from the original YOLOv1 to the latest YOLOv8, elucidating the key innovations, differences, and …
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ResearchGate
https://www.researchgate.net/publication/343178810...
(PDF) PP-YOLO: An Effective and Efficient Implementation
Jul 23, 2020 · By combining multiple tricks, PP-YOLO can achieve a better balance between effectiveness (45.% mAP) and efficiency (72.9 FPS), surpassing the existing state-of-the-art …
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Pp-Yolo Paper
Pp Yolov2 A Practical Object Detector
Pp-Yolo Tiny
Semantic Scholar
https://www.semanticscholar.org/paper/Scaled-YOLOv4...
[PDF] Scaled-YOLOv4: Scaling Cross Stage Partial Network
Nov 16, 2020 · Scaled-YOLOv4: Scaling Cross Stage Partial Network. We show that the YOLOv4 object detection neural network based on the CSP approach, scales both up and down and is …
Tags:
Yolov4 Speed
Yolov4 Optimal
Yolov4 Object Detection
Machine Learning
arXiv.org
https://arxiv.org/abs/2104.10419
[2104.10419] PP-YOLOv2: A Practical Object Detector - arXiv.org
Apr 21, 2021 · View a PDF of the paper titled PP-YOLOv2: A Practical Object Detector, by Xin Huang and 12 other authors. Being effective and efficient is essential to an object detector for …
Tags:
Publish Year:2021
Pp Yolov2 A Practical Object Detector
Pp-Yolov2 GitHub
arXiv.org
https://arxiv.org/abs/2007.12099
[2007.12099] PP-YOLO: An Effective and Efficient …
Jul 23, 2020 · View a PDF of the paper titled PP-YOLO: An Effective and Efficient Implementation of Object Detector, by Xiang Long and 10 other authors. Object detection is one of the most …
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Publish Year:2020
Computer Vision
Object Detection
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YOLOv4 Object Detection
Does yolov4 outperform other object detection network architectures?Bochkovskiy et al. (2020) did extensive experiments across different GPU architectures and showed that YOLOv4 outperformed all the other object detection network architectures in terms of speed and accuracy.
Achieving Optimal Speed and Accuracy in Object Detection
pyimagesearch.com/2022/05/16/achieving-optimal-speed
How does yolov4 improve the accuracy of the object detector?The YOLOv4 model combined the above and more features to form the “Bag of Freebies” for improving the training of the model and “Bag-of-Specials” for improving the accuracy of the object detector. We will discuss more on this in detail later. The end-to-end architecture of an object detector is generally composed of two parts:
Achieving Optimal Speed and Accuracy in Object Detection
pyimagesearch.com/2022/05/16/achieving-optimal-speed
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Achieving Optimal Speed and Accuracy in Object Detection (YOLOv4)
https://pyimagesearch.com/2022/05/16/achieving-optimal-speed-and-accuracy-in-object-detection-yolov4/
Yolo V4 Object Detection - Medium
https://medium.com/geekculture/yolo-v4-object-detection-a80648340e26
Images: pyimagesearch.com
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YOLOv4: Optimal Speed and Accuracy of Object Detection
Computer Science > Computer Vision and Pattern Recognition
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 justifi…
https://arxiv.org/abs/2004.10934v1
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AuthorsAlexey Bochkovskiy · Chien-Yao Wang · Hong-Yuan Mark Liao
SubjectsComputer Vision and Pattern Recognition (cs.CV); Image and Video Processing (eess.IV)
References & CitationsNASA ADS · Semantic Scholar