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- Studies of pp yolov4
[2007.12099] PP-YOLO: An Effective and Efficient …
Jul 23, 2020 · PP-YOLO is a new object detector that improves the accuracy of YOLOv3 without sacrificing the speed. It combines various existing tricks and is implemented in PaddlePaddle, …
Other content from arxiv.orgPP-YOLO is a new object detector based on YOLOv3 that combines various tricks to improve accuracy without sacrificing speed. It achieves 45.2% mAP and 72.9 FPS on COCO, …
- Author: Xiang Long, Kaipeng Deng, Guanzhong Wang, Yang Zhang, Qingqing Dang, Yuan Gao, Hui Shen, Jianguo Ren...
- Publish Year: 2020
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[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 a new object detector based on YOLOv3 that improves accuracy and speed by combining various tricks. It achieves 45.2% mAP and 72.9 FPS on COCO dataset, surpassing …
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 …
Aug 3, 2020 · PP-YOLO Surpasses YOLOv4 - State of the Art Object Detection Techniques. Jacob Solawetz, Joseph Nelson. Published Aug 3, 2020 • 7 min read. Baidu publishes PP …
PP-YOLO: An Effective and Efficient Implementation of Object …
PP-YOLO is a paper that presents various training tricks to improve the performance of YOLOv3, a popular object detector. The paper does not propose any new backbone or data …
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 …
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 model parameters and 1% FLOPS, but this lets the model …
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 …
PP-YOLO Strikes Again - Record Object Detection at 68.9FPS
May 11, 2021 · In the last year alone, we've seen the state of the art reached by YOLOv4, YOLOv5, PP-YOLO, and Scaled-YOLOv4. And now Baidu releases PP-YOLOv2, setting new …
Title: YOLOv4: Optimal Speed and Accuracy of Object Detection
Apr 23, 2020 · A paper by Alexey Bochkovskiy and others that introduces new features and techniques to improve CNN accuracy and speed for object detection. The paper claims state …
A Comprehensive Review of YOLO Architectures in Computer …
Learn about the evolution and innovations of YOLO, a real-time object detection framework, from YOLOv1 to YOLOv8 and beyond. Explore the applications, metrics, postprocessing, and …
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 …
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 · This paper presents PP-YOLOv2, a fast and accurate object detector based on PP-YOLO. It evaluates various refinements to improve the performance and speed of PP-YOLO, …
Mirror-Yolo: A Novel Attention Focus, Instance Segmentation and …
2 days ago · YOLOv4 gets a significant performance improvement over the YOLO series to which it belongs, but it also failed to achieve satisfactory results on the task of mirror detection, ...
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 …
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