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- Studies of pp yolov4 pdf
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
See results only from arxiv.org[2104.10419] PP-YOLOv2: …
View a PDF of the paper titled PP-YOLOv2: A Practical Object Detector, by Xin …
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 …
- 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
(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 …
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 …
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. …
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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 …
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 …
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 …
[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 …
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 …
lowing 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 efficient, called …
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 …
YOLOv4 - Ultralytics YOLO Docs
Sep 23, 2024 · YOLOv4, which stands for "You Only Look Once version 4," is a state-of-the-art real-time object detection model developed by Alexey Bochkovskiy in 2020. It achieves an …
(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 …
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 …
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, …
Review of PP-YOLO: An Effective and Efficient Implementation of …
On the foundation of YOLOv3, YOLOv4 takes into account multiple strategies, including bag of freebies and bag of specials, which significantly enhance the detector's performance. This …
PP-YOLO: An Effective and Efficient Implementation of Object …
Jul 23, 2020 · By combining multiple tricks, PP-YOLO can achieve a better balance between effectiveness (45.2% mAP) and efficiency (72.9 FPS), surpassing the existing state-of-the-art …
[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 …
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