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[2007.12099] PP-YOLO: An Effective and Efficient Implementation of Object Detector
- DOI: https://doi.org/10.48550/arXiv.2007.12099
- Authors: Xiang Long, Kaipeng Deng, Guanzhong Wang, Y…
- Published: 2020/07/23
- RelatedEntitiesURL: http://arxiv.org/pdf/2007.12099.pdf
- Subject: Computer Vision and Pattern Recognition (cs.CV)
- Cite As: arXiv:2007.12099 [cs.CV]
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...Explore further
[2007.12099] PP-YOLO: An Effective and Efficient …
WEBMar 14, 2024 · 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 …
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PP-YOLO Surpasses YOLOv4 - State of the Art Object Detection …
- The PP-YOLO model shows the promise of state of the art object detection, but the improvements are incremental over other object detectors and it is written in a new framework. At this stage, the best thing to do is to develop your own empirical result by training PP-YOLO on your own dataset. (To be notified when you can easily use PP-YOLO on your ...
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WEBBy 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 …
- Studies of pp yolov4
YOLO v4 or YOLO v5 or PP-YOLO? - Towards Data …
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 a V100 with batch size = 1, the PP …
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 …
Review of PP-YOLO: An Effective and Efficient …
WEBPP-YOLO stands for PaddlePaddle. YOLO for "You Only Look Once". This framework aims to make building, training, optimizing, and deploying these models for object detection more straightforward and efficient.
Review — PP-YOLO: An Effective and Efficient …
WEB5 min read. ·. Aug 18, 2022. PP-YOLO runs faster than YOLOv4 and improves mAP from 43.5% to 45.2%. PP-YOLO: An Effective and Efficient Implementation of Object Detector. PP-YOLO, by...
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 …
YOLOv4: Optimal Speed and Accuracy of Object …
WEBApr 22, 2020 · 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...
WEBThe YOLOv4-tiny model achieves 22.0% AP (42.0% AP50) at a speed of ∼443 FPS on RTX 2080Ti, while by using Ten-sorRT, batch size = 4 and FP16-precision the YOLOv4 …
[2004.10934] YOLOv4: Optimal Speed and Accuracy of Object …
WEBApr 23, 2020 · YOLOv4: Optimal Speed and Accuracy of Object Detection. Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao. (Submitted on 23 Apr 2020) …
YOLOv4: Optimal Speed and Accuracy of Object Detection
WEBApr 23, 2020 · Computer Science. TLDR. This work uses new features: WRC, CSP, CmBN, SAT, Mish activation, Mosaic data augmentation, C mBN, DropBlock regularization, and …
PP-YOLO Explained | Papers With Code
WEBPP-YOLO is an object detector based on YOLOv3. It mainly tries to combine various existing tricks that almost not increase the number of model parameters and FLOPs, to …
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WEBSimi Valley (/ ˈ s iː m iː / ⓘ; Chumash: Shimiyi) is a city in the valley of the same name in the southeast region of Ventura County, California, United States.Simi Valley is 40 miles …
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) …
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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 …
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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 …
【学习笔记】**【1】最全YOLO系列算法介绍：从yolov1-yolov10*…
WEB1 day ago · 四、yolov4☘️☘️ ... pp-yolo 是由百度于2020年提出的一种高效的目标检测模型，旨在在保持高准确度的同时实现高推理速度。pp-yolo 在 yolov3 的基础上进行了多 …
[2104.10419] PP-YOLOv2: A Practical Object Detector - arXiv.org
WEBApr 21, 2021 · Since a significant margin of performance has been made, we present PP-YOLOv2. In terms of speed, PP-YOLOv2 runs in 68.9FPS at 640x640 input size. …
[2011.08036] Scaled-YOLOv4: Scaling Cross Stage Partial …
WEBNov 16, 2020 · YOLOv4-large model achieves state-of-the-art results: 55.5% AP (73.4% AP50) for the MS COCO dataset at a speed of ~16 FPS on Tesla V100, while with the …
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