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Title: YOLOv4: Optimal Speed and Accuracy of Object Detection
Apr 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 of features …
- Author: Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao
- Cite as: arXiv:2004.10934 [cs.CV]
- Publish Year: 2020
See results only from arxiv.org[2004.10934] YOLOv4: O…
YOLOv4: Optimal Speed and Accuracy of Object Detection. There are a huge …
arXiv:2209.02976v1 [cs.CV] …
lowing YOLOv4 and YOLOv5. We enhance the neck with RepBlocks or …
YOLOv4: Optimal Speed …
Figure 1: Comparison of the proposed YOLOv4 and other state-of-the-art …
- The majority of CNN-based object detectors are largely applicable only for recommendation systems. For example, searching for free parking spaces via urban video cameras is executed by slow accurate models, whereas car collision warning is related to fast inaccurate models. Improving the real-time object detector accuracy enables using them not onl...
- Author: Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao
- Publish Year: 2020
YOLOv4: Optimal Speed and Accuracy of Object …
Apr 23, 2020 · TLDR. This work uses new features: WRC, CSP, CmBN, SAT, Mish activation, Mosaic data augmentation, C mBN, DropBlock regularization, and CIoU loss, and combine some of them to achieve state-of-the-art results: …
(PDF) YOLOv4: Optimal Speed and Accuracy of …
Apr 22, 2020 · Comparison of the proposed YOLOv4 and other state-of-the-art object detectors. YOLOv4 runs twice faster than EfficientDet with comparable …
- Estimated Reading Time: 3 mins
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, …
[2004.10934] YOLOv4: Optimal Speed and Accuracy of Object …
Apr 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) accuracy. …
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YOLOv4: Optimal Speed and Accuracy of Object …
We use new features: WRC, CSP, CmBN, SAT, Mish activation, Mosaic data augmentation, CmBN, DropBlock regularization, and CIoU loss, and combine some of them to achieve state-of-the-art results: 43.5% AP (65.7% AP50) for …
YOLOv4: Optimal Speed and Accuracy of Object Detection
YOLOv4: Optimal Speed and Accuracy of Object Detection. There are a huge number of features which are said to improve Convolutional Neural Network (CNN) accuracy. Practical testing of …
YOLOv4: Optimal Speed and Accuracy of Object …
The goal of this study is to apply different YOLO models for pothole detection. Three state-of-the-art object detection frameworks (i.e., YOLOv4,YOLOv4-tiny, and YOLOv5s) are experimented to measure their performance involved in …
YOLOv4 - Ultralytics YOLO Docs
Nov 12, 2023 · YOLOv4 architecture diagram. Showcasing the intricate network design of YOLOv4, including the backbone, neck, and head components, and their interconnected …
GitHub - georgiosouzounis/object-detection-yolov4: A …
A complete guide to object detection using YOLO V4 and OpenCV. This collection of Google Colab-Notebooks demonstrates how to perform object detection using the YOLO V4 model. The material is seperated in two sections …
Figure 1: Comparison of the proposed YOLOv4 and other state-of-the-art object detectors. YOLOv4 runs twice faster than EfficientDet with comparable performance. Improves …
Abstract. Research on deep learning has always had two main streams: (1) design a powerful network architecture and train it with existing learning methods to achieve the best results, and …
Volume 1 No. 3. July – September 2022. YOLOv4 and Its Applications. Dr. Mark Liao. Institute of Information Science, Academia Sinica, Taiwan. 23rd NFIC Invited Talk. Synopsis— YOLOv4 …
Real -Time YOLOv4 FPGA Design with Catapult High -Level Synthesis MASTER THESIS Luuk Heinsius FACULTY OF ELECTRICAL ENGINEERING, MATHEMATICS AND COMPUTER …
lowing YOLOv4 and YOLOv5. We enhance the neck with RepBlocks or CSPStackRep Blocks to have Rep-PAN. Head: We simplify the decoupled head to make it more efficient, called …
We show that the YOLOv4 object detection neural net-work based on the CSP approach, scales both up and down and is applicable to small and large networks while main-taining optimal …
What is YOLOv4? A Detailed Breakdown. - Roboflow Blog
Jan 4, 2024 · We have recently been amazed at the performance of YOLOv4 on custom object detection tasks and have published tutorials on how to train YOLOv4 in Darknet and how to …
ABYOLOv4: improved YOLOv4 human object detection based on …
Jan 4, 2024 · YOLOv4 consists of three main components: the backbone network (CSPDarkNet53) for feature extraction, the Spatial Pyramid Pooling (SPP) module to enhance …
Object Detection Using YOLO v4 Deep Learning - MathWorks
Create a YOLO v4 object detector by using the yolov4ObjectDetector function and train the detector using trainYOLOv4ObjectDetector function. This example also provides a pretrained …
YOLO-APDM: Improved YOLOv8 for Road Target Detection in …
Oct 8, 2024 · A new algorithm called YOLO-APDM is proposed to address low quality and multi-scale target detection issues in infrared road scenes. The method reconstructs the neck …
iLovePDF - PDF Reader and Editor: descarga e instalación …
Descárgate iLovePDF para Windows y empieza a gestionar, optimizar y editar tus archivos PDF. Disfruta de todas las funcionalidades que ofrece el servicio online de iLovePDF con la ventaja …
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