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- Studies of pp yolov4
[2007.12099] PP-YOLO: An Effective and Efficient …
- Author: Xiang Long, Kaipeng Deng, Guanzhong Wang, Yang Zhang, Qingqing Dang, Yuan Gao, Hui Shen, Jianguo Ren...
- Cite as: arXiv:2007.12099 [cs.CV]
- Publish Year: 2020
PP-YOLO is a new object detector that improves the accuracy of YOLOv3 without sacrificing the speed. It uses various tricks to achieve 45.2% mAP and 72.9 FPS, outperforming EfficientDet and YOLOv4.Explore further
PP-YOLO Surpasses YOLOv4 - State of the Art Object Detection …
PP-YOLO is a Baidu paper that improves YOLOv3 by adding various techniques, such as ResNet backbone, DropBlock, IoU loss, and grid sensitivi…
- Estimated Reading Time: 10 mins
[2007.12099] PP-YOLO: An Effective and Efficient …
WEBPP-YOLO is faster (FPS) and more accurate(COCO mAP) than other state-of-the-art detectors, such as EfficientDet and YOLOv4. In this paper, we explore a lot of tricks and …
Review of PP-YOLO: An Effective and Efficient Implementation of …
WEBducted 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 …
PP-YOLO: An Effective and Efficient Implementation of Object …
WEBThis paper and YOLOv4 both starts from YOLOv3 but adopts different methods. YOLOv4 explores extensively recent advances in backbones and data augmentation, while PP …
PP-YOLO: An Effective and Efficient Implementation of Object …
WEB17 rows · 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 …
Review — PP-YOLO: An Effective and Efficient …
WEBAug 18, 2022 · The relative improvement of PP-YOLO (around 100%) is larger than YOLOv4 (around 70%). It is mainly because tensorRT optimizes for ResNet model better than Darknet. PP-YOLO results have...
YOLOv4: Optimal Speed and Accuracy of Object Detection
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) …
PP-YOLO Object Detection Algorithm: Why It's Faster than …
WEBPP-YOLO is a modified version of YOLOv4 that improves inference speed and mAP score by using a RESNET-50 backbone, Path Aggregation Network, mish activation, and other …
WEBScaled-YOLOv4 can achieve the best trade-off between speed and accuracy, and is able to perform real-time object detection on 15 FPS, 30 FPS, and 60 FPS movies, as well as …
YOLO v4 or YOLO v5 or PP-YOLO? - Towards Data Science
WEBAug 22, 2020 · PP-YOLO Performance. According to the paper, the PP-YOLO can achieve a mAP of 45.2% COCO dataset which exceeds the 43.5% of YOLO v4. When tested on …
PP-YOLO Explained | Papers With Code
WEBPP-YOLO is a paper and code that introduces a new implementation of YOLOv3 with various tricks to improve accuracy and speed. It uses ResNet50-vd, deformable …
Is PP-YOLOE Better than YOLOv5 & YOLOX? - Medium
WEBMay 10, 2022 · Specifically, PP-YOLOE achieves 51.4 mAP on COCO with 640 × 640 resolution at the speed of 78.1 FPS, surpassing PP-YOLOv2 by 1.9% AP and YOLOX-l …
PP-YOLO Strikes Again - Record Object Detection at 68.9FPS
WEBMay 11, 2021 · PP-YOLO Strikes Again - Record Object Detection at 68.9FPS. Object detection research is white hot! In the last year alone, we've seen the state of the art …
PP-YOLO: An Effective and Efficient Implementation of Object …
WEBJul 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 …
Object Detection and Tracking Algorithms for Vehicle ... - Springer
WEBNov 17, 2020 · Out of all the earlier versions of YOLO, YOLOv4 is the latest and most advanced iteration till date (Bochkovskiy et al. 2020). It has the fastest operating speed …
Object Detection and Tracking Algorithms for Vehicle Counting: A ...
WEBNov 18, 2020 · Experimental results demonstrate that the combination of CenterNet and Deep SORT, and YOLOv4 and Deep SORT produced the best overall counting …
STUEFF-YOLOv5s: A Lightweight Method for Deep Identification …
WEB3 days ago · It has less number of parameters and better performance compared to tiny target detection algorithms such as YOLOv4. References [1] M. O. Pedro, R. Baker, A. …
WEBImproves 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 …
Object Detection and Tracking Algorithms for Vehicle Counting: A ...
WEBJul 31, 2020 · Experimental results demonstrate that the combination of CenterNet and Deep SORT, Detectron2 and Deep SORT, and YOLOv4 and Deep SORT produced the …
Agronomy | Free Full-Text | YOLO-Peach: A High-Performance
WEB2 days ago · The identification and enumeration of peach seedling fruits are pivotal in the realm of precision agriculture, greatly influencing both yield estimation and agronomic …
Full article: Enhanced Wheat Head Detection in Images Using …
WEB1 day ago · Yang et al. (Citation 2021) trained an improved YOLOv4 model with CBAM (convolutional block attention module) to improve the network feature extraction …
[2104.10419] PP-YOLOv2: A Practical Object Detector - arXiv.org
WEBApr 21, 2021 · By combining multiple effective refinements, we boost PP-YOLO's performance from 45.9% mAP to 49.5% mAP on COCO2017 test-dev. Since a …
Agronomy | Free Full-Text | A Deep-Learning-Based Model for …
WEB5 days ago · YOLOV4 and YOLOV5x obtained F1 scores of 0.77 and 0.76, respectively, according to the results. Furthermore, YOLOV4 showcased a frame per second (FPS) …
A lightweight license plate detection algorithm based on deep …
WEBOct 13, 2023 · License plate detection is an important task in Intelligent Transportation Systems (ITS) and has a wide range of applications in vehicle management, traffic …
Research on strip surface defect detection based on improved …
WEB4 days ago · In the production process of hot rolled strip, there will inevitably be defects such as iron scale, slag inclusion and scratch on the surface, and there is no effective …
WEB1 day ago · detection of PPE based on Yolov4-tiny 1st Anusha Verma CSE Department Wright State University Dayton, United States of America [email protected] 2nd …
[2011.08036] Scaled-YOLOv4: Scaling Cross Stage Partial …
WEBNov 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 …
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