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- Studies of yolov4 tiny paper
Real-time object detection method based on improved YOLOv4-tiny
Nov 9, 2020 · The "You only look once v4" (YOLOv4) is one type of object detection methods in deep learning. YOLOv4-tiny is proposed based on YOLOv4 to simple the network structure …
- Author: Zicong Jiang, Liquan Zhao, Shuaiyang Li, Yanfei Jia
- Publish Year: 2020
See results only from arxiv.orgTitle: YOLOv4: Optimal Spe…
YOLOv4: Optimal Speed and Accuracy of Object Detection. There are a huge …
Real-time object detection method based on improved YOLOv4-tiny
Nov 9, 2020 · To improve the real-time of object detection, a fast object detection method is proposed based on YOLOv4-tiny. It firstly uses two ResBlock-D modules in ResNet-D network …
Improved YOLOv4-tiny network for real-time electronic …
Nov 23, 2021 · The YOLOv4-tiny model minimizes the loss function through parameter iterative regression to achieve the effect of model optimization.
- Author: Ce Guo, Xiao-ling Lv, Yan Zhang, Ming-lu Zhang
- Publish Year: 2021
A Comprehensive Review of YOLO Architectures in Computer …
The scaled-down architecture was called YOLOv4-tiny; it was designed for low-end GPUs and can run at 46 FPS on a Jetson TX2 or 440 FPS on RTX2080Ti, achieving 22% AP on MS …
OPEN. Improved YOLOv4‐tiny network for real‐time electronic component detection. Ce Guo, Xiao‐ling Lv*, Yan Zhang & Ming‐lu Zhang. In the electronics industry environment, rapid …
- Author: Ce Guo, Xiao-ling Lv, Yan Zhang, Ming-lu Zhang
- Publish Year: 2021
Multi‐Object Detector YOLOv4‐Tiny Enables High‐Throughput …
Oct 13, 2021 · In this paper, the authors combine the Deep Learning object detector YOLOv4-tiny with microfluidic Image-Activated Droplet Sorting (DL-IADS), to perform flexible, label-free …
YOLOv4-tiny models. Scaled-YOLOv4 can achieve the best trade-off between speed and accuracy, and is able to perform real-time object detection on 15 fps, 30 fps, and 60 fps …
Real-time object detection method based on improved YOLOv4-tiny
Nov 9, 2020 · The "You only look once v4" (YOLOv4) is one type of object detection methods in deep learning. YOLOv4-tiny is proposed based on YOLOv4 to simple the network structure …
Object Detection in Complex Road Scenarios: Improved YOLOv4 …
This paper proposes an object detection algorithm based on YOLOV4-Tiny, which can improves the recognition of small objects in street scenario, as well as the robustness in the extreme …
An Improved Network for Small Object Detection Based on …
Jul 25, 2021 · In this paper, we introduced the structure of YOLOv4-Tiny-3L network that focus on small objects detection and spatial pyramid pooling module. We proposed an object detection …
High-speed YOLOv4-tiny hardware accelerator for self-driving …
Oct 27, 2023 · This paper presents a new design and implementation of YOLOv4-tiny on FPGA for self-driving automotive. Considering the word lengths of 8 and 5 for data and weight, …
Improved YOLOv4-tiny network for real-time electronic …
Nov 23, 2021 · The YOLOv4-tiny model minimizes the loss function through parameter iterative regression to achieve the effect of model optimization. The loss function is divided into three …
Scaled-YOLOv4: Scaling Cross Stage Partial Network
Scaled-YOLOv4: Scaling Cross Stage Partial Network. We show that the YOLOv4 object detection neural network based on the CSP approach, scales both up and down and is …
Real-time object detection method based on improved YOLOv4-tiny
Nov 9, 2020 · To improve the real-time of object detection, a fast object detection method is proposed based on YOLOv4-tiny. It firstly uses two ResBlock-D modules in ResNet-D network …
Improved YOLOv4-tiny network for real-time ... - Semantic Scholar
Nov 23, 2021 · This paper designed an FPGA-Based acceleration scheme combining software and hardware and effectively applied it to the Yolov4-Tiny object detection model, realizing the …
YOLOv4 Explained - Papers With Code
Jul 13, 2021 · YOLOv4 is a one-stage object detection model that improves on YOLOv3 with several bags of tricks and modules introduced in the literature. The components section below …
YOLOv4‐dense: A smaller and faster YOLOv4 for …
Nov 8, 2022 · Although there exist some lightweight versions of YOLOv4, such as YOLOv4-tiny, their performance is not good enough, especially in detecting small-size objects. Thus, in this paper, we design a lightweight YOLOv4 considering …
YOLOv4 vs YOLOv4-tiny. Training custom YOLO detectors for …
Feb 24, 2021 · When tested for real-time object detection using a webcam, YOLOv4-tiny is better than YOLOv4 because of its much faster inference time. However, when tested on images and …
Vehicle Detection and Tracking in Real-time using YOLOv4-tiny
The goal of this paper is to detect, identify, and track vehicles in surveillance camera footage in order for them to be extracted efficiently and accurately. You Only Look Once version 4 …
Title: YOLOv4: Optimal Speed and Accuracy of Object Detection
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. …
Traffic sign detection and recognition based on MMS data using …
Aug 14, 2024 · In this frame, YOLOv4-Tiny, one of the object detection algorithms, that is considered to be more suitable for mobile vehicles, is used to detect and recognize traffic …
Mirror-Yolo: A Novel Attention Focus, Instance Segmentation and …
2 days ago · YOLOv4 achieves phenomenal results in terms of object detection accuracy and speed, but it still fails in detecting mirrors. ... most of which were taken by mobile devices. A …
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