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YOLOv4: Optimal Speed and Accuracy of Object Detection
WEBApr 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 …
- Author: Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao
- Cite as: arXiv:2004.10934 [cs.CV]
- Publish Year: 2020
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Explore a wide range of e-prints on the arXiv.org archive, including papers on …
[2104.10419] PP-YOLOv2: …
View a PDF of the paper titled PP-YOLOv2: A Practical Object Detector, by Xin …
YOLO-OBJECT-DETECTION-TUTORIALS/YoloV4.pdf at main
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YOLOv4: Optimal Speed and Accuracy of Object …
WEBThe aim of this paper is to improve the newly released, YOLOv4 detector, specifically, for vehicle tracking applications using some existing methods such as optimising anchor box predictions by using k-means clustering.
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arXiv.org e-Print archive
- YOLO 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 evolution, examining the innovations and contributions in each iteration from the original YOLO up to YOLOv8, YOLO-NAS, and YOLO with Transformers. We start by describing the sta...
[2104.10419] PP-YOLOv2: A Practical Object Detector - arXiv.org
WEBApr 21, 2021 · View a PDF of the paper titled PP-YOLOv2: A Practical Object Detector, by Xin Huang and 12 other authors. View PDF. Abstract: Being effective and efficient is …
(PDF) PP-YOLOv2: A Practical Object Detector
WEBApr 21, 2021 · This paper will analyze a collection of refinements and empirically evaluate their impact on the final model performance through incremental ablation study. Things we tried that didn't work will...
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(PDF) YOLOv4‐dense: A smaller and faster YOLOv4 for …
WEBNov 8, 2022 · Experimental results on NVIDIA JETSON TX2 embedded platform demonstrate that YOLOv4‐dense can achieve a higher accuracy, faster speed with …
(PDF) Scaled-YOLOv4: Scaling Cross Stage Partial …
WEBPDF | On Jun 1, 2021, Chien-Yao Wang and others published Scaled-YOLOv4: Scaling Cross Stage Partial Network | Find, read and cite all the research you need on ResearchGate.
PP-YOLO Surpasses YOLOv4 - State of the Art …
WEBAug 3, 2020 · PP-YOLO Surpasses YOLOv4 - State of the Art Object Detection Techniques. Baidu publishes PP-YOLO and pushes the state of the art in object detection research by building on top of YOLOv3, the …
YOLOv4 Object Detection | PDF - Scribd
· YOLOv4 is an object detection model that can detect multiple objects of different sizes in a single image. It has more parameters than previous versions for greater …WebUp to$3
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The evolution of the YOLO neural networks family from v1 to v7.
WEBOct 17, 2022 · Comparison of the proposed YOLOv4 and other state-of-the-art object detectors. YOLOv4 runs twice faster than EfficientDet with comparable performance. …
WEBYOLO Features: Extremely fast (45 frames per second) Reason Globally on the Entire Image. Learn Generalizable Representations. Detection Procedure. …
[PDF] PP-YOLOv2: A Practical Object Detector - Semantic Scholar
WEBBy 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 performance …
WEBWhen we look at the old .5 IOU mAP detection metric YOLOv3 is quite good. It achieves 57:9 AP50 in 51 ms on a Titan X, com-pared to 57:5 AP50 in 198 ms by RetinaNet, …
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