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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: Long, Xiang, Deng, Kaipeng, Wang, Guanzhong…
- 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
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 …
- Author: Xiang Long, Kaipeng Deng, Guanzhong Wang, Yang Zhang, Qingqing Dang, Yuan Gao, Hui Shen, Jianguo Ren...
- Publish Year: 2020
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[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 …
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 ...
- Estimated Reading Time: 10 mins
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...
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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 …
PP-YOLO: An Effective and Efficient Implementation of Object …
WEB17 rows · 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 …
[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) …
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 …
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 …
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WEBApr 4, 2022 · Introduction to Object Detection. Challenges. History of Object Detection. What Are Single-Stage Object Detectors? YOLOv1. YOLOv2. YOLOv3. YOLOv4. YOLOv5. Mosaic Data Augmentation. Quantitative …
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: An Effective and Efficient Implementation of Object …
WEBJul 23, 2020 · PP-YOLO, a new object detector based on YOLOv3, achieves a better balance between effectiveness (45.2% mAP) and efficiency (72.9 FPS) than existing …
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 …
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 …
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 …
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[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 · Scaled-YOLOv4: Scaling Cross Stage Partial Network. Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao. We show that the YOLOv4 object detection …
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