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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
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 important areas in computer vision, which plays a key role in various practical scenarios.[PDF] PP-YOLO: An Effective and Efficient ... - Semantic Scholar
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 …
PP-YOLO: An Effective and Efficient Implementation of Object
PP-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 show how to …
Review of PP-YOLO: An Effective and Efficient Implementation of …
Learn how PP-YOLO improves YOLOv3 with various techniques, such as ResNet50-vd-dcn backbone, anchor-free loss, and spatial pyramid pooling. Comp…
PP-YOLO Surpasses YOLOv4 - State of the Art Object Detection …
ducted 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 FPS), …
PP-YOLO: An Effective and Efficient Implementation of Object …
This paper and YOLOv4 both starts from YOLOv3 but adopts different methods. YOLOv4 explores extensively recent advances in backbones and data augmentation, while PP-YOLO …
A Comprehensive Review of YOLO Architectures in Computer …
It was published in ArXiv in July 2020 by researchers from Baidu Inc. The authors used the PaddlePaddle deep learning platform, hence its PP name. Following the trend we have seen …
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.% mAP) and efficiency (72.9 FPS), surpassing the existing state-of-the-art …
Review — PP-YOLO: An Effective and Efficient Implementation of …
Aug 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. …
[PDF] PP-YOLOE: An evolved version of YOLO - Semantic Scholar
PP-YOLOE, an industrial state-of-the-art object detector with high performance and friendly deployment is presented, using anchor-free paradigm, more powerful backbone and neck …
Introduction to the YOLO Family - PyImageSearch
Apr 4, 2022 · Spatial Pyramid Pooling (SPP) Layer: The SPP layer implemented in YOLOv4 is applied in PP-YOLO as well but only in the top feature map. Adding SPP adds 2% of the …
PP-YOLO Strikes Again - Record Object Detection at 68.9FPS
May 11, 2021 · PP-YOLO took the YOLOv3 network and made iterative improvements in training and and architecture by adding a Resnet backbone, DropBlock regularization, IoU loss, Grid …
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 …
Automated cell counting for Trypan blue-stained cell cultures …
Nov 28, 2023 · Automated cell counters, which enable significant time reduction, are commercially available but remain relatively expensive. Here, we present a machine learning (ML) model …
Object Detection and Tracking Algorithms for Vehicle ... - Springer
Nov 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 for use in …
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. …
Object Detection and Tracking Algorithms for Vehicle Counting: A ...
Jul 31, 2020 · Experimental results demonstrate that the combination of CenterNet and Deep SORT, Detectron2 and Deep SORT, and YOLOv4 and Deep SORT produced the best overall …
[2104.10419] PP-YOLOv2: A Practical Object Detector - arXiv.org
Apr 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 significant margin of …
Object Detection and Tracking Algorithms for Vehicle Counting: A ...
Nov 18, 2020 · Experimental results demonstrate that the combination of CenterNet and Deep SORT, and YOLOv4 and Deep SORT produced the best overall counting percentage for all …
Fighting against forest fire: A lightweight real-time detection ...
Nov 1, 2024 · Bochkovskiy, Wang, and Liao (2020) suggested CSPResNet and implemented it as the backbone of YOLOv4 to extract features of varying depths using four parallel …
Mirror-Yolo: A Novel Attention Focus, Instance Segmentation and …
2 days ago · Mirrors can degrade the performance of computer vision models, but research into detecting them is in the preliminary phase. YOLOv4 achieves phenomenal results in terms of …
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