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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.WEBducted 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 …
- Author: Xiang Long, Kaipeng Deng, Guanzhong Wang, Yang Zhang, Qingqing Dang, Yuan Gao, Hui Shen, Jianguo Ren...
- Publish Year: 2020
PP-YOLO: An Effective and Efficient Implementation of Object
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 …
A Comprehensive Review of YOLO Architectures in Computer …
WEBIt 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 …
PP-YOLO: An Effective and Efficient Implementation of Object …
WEBThis paper and YOLOv4 both starts from YOLOv3 but adopts different methods. YOLOv4 explores extensively recent advances in backbones and data augmentation, while PP …
Review of PP-YOLO: An Effective and Efficient …
WEBLearn how PP-YOLO improves YOLOv3 with various techniques, such as ResNet50-vd-dcn backbone, anchor-free loss, and spatial pyramid pooling. Compare PP-YOLO with other one-stage and anchor-based detectors …
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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 (45.2% mAP) and efficiency (72.9 FPS), surpassing the existing …
[PDF] PP-YOLO: An Effective and Efficient
WEBJul 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 are explored, mainly …
PP-YOLO Surpasses YOLOv4 - Roboflow Blog
WEBAug 3, 2020 · PP-YOLO is a Baidu paper that improves YOLOv3 by adding various techniques, such as ResNet backbone, DropBlock, IoU loss, and grid sensitivity. Learn how PP-YOLO surpasses YOLOv4 and other …
YOLO v4 or YOLO v5 or PP-YOLO? - Towards Data …
WEBAug 23, 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 …
[PDF] PP-YOLOE: An evolved version of YOLO - Semantic Scholar
WEBMar 30, 2022 · PP-YOLOE, an industrial state-of-the-art object detector with high performance and friendly deployment is presented, using anchor-free paradigm, more …
PP-YOLO Object Detection Algorithm: Why It's Faster than …
WEBPP-YOLO is a modified version of YOLOv4 that improves inference speed and mAP score by using a RESNET-50 backbone, Path Aggregation Network, mish activation, and other …
Review — PP-YOLO: An Effective and Efficient Implementation of …
WEBAug 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 …
PP-YOLO Explained - Papers With Code
WEBPP-YOLO is a paper and code that introduces a new implementation of YOLOv3 with various tricks to improve accuracy and speed. It uses ResNet50-vd, deformable …
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 …
PP-YOLO: An Effective and Efficient Implementation of Object
WEBJul 23, 2020 · Since all experiments in this paper are conducted based on PaddlePaddle, we call it PP-YOLO. By combining multiple tricks, PP-YOLO can achieve a better …
Guide To PP-YOLO: An Efficient Implementation Of Object Detector
WEBApr 8, 2024 · PP-YOLO stands for PaddlePaddle – You only look once. The purpose of this framework is to ease the process of object detection in construction, training, …
Keypoint regression strategy and angle loss based YOLO for …
WEBNov 17, 2023 · This paper proposes an enhanced version of YOLOv4 called KR–AL–YOLO (keypoint regression strategy and angle loss based YOLOv4). The KR–AL–YOLO …
A Lightweight and Accurate UAV Detection Method Based on …
WEBSep 11, 2022 · This paper proposes an accurate and lightweight UAV detection model based on YOLOv4. To verify the effectiveness of this model, we made a UAV dataset, …
Title: 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) …
[2104.10419] PP-YOLOv2: A Practical Object Detector - arXiv.org
WEBApr 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 …
A Pedestrian Detection Network Model Based on Improved …
WEBJan 4, 2023 · Fu et al. implemented the LeakyReLu function in the YOLOv4 network’s backbone network to redesign it. They achieved network lightweighting by removing the …
A Lightweight and Accurate UAV Detection Method Based on …
WEBAug 9, 2022 · This paper proposes an accurate and lightweight UAV detection model based on YOLOv4. To verify the effectiveness of this model, we made a UAV dataset, which …
Implementation of Tableware Detection Based on YOLO V4
WEBSep 29, 2024 · YOLO V4 greatly improves the detection accuracy and speed compared with YOLO V3. Figure 3 illustrates the comparison of YOLO V4 method and other state-of-the …
KOLOMVERSE: Korea open large-scale image dataset for object …
WEB3 days ago · In this paper, we introduce KOLOMVERSE, a maritime object image dataset designed specifically for object detection. For data collection, we deployed a four …
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