A fast accurate fine-grain object detection model based on YOLOv4 deep neural network
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A fast accurate fine-grain object detection model based on YOLOv4 deep neural network
Authors
Keywords
-
Journal
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-01-07
DOI
10.1007/s00521-021-06651-x
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A dynamic discarding technique to increase speed and preserve accuracy for YOLOv3
- (2021) Ignacio Martinez-Alpiste et al. NEURAL COMPUTING & APPLICATIONS
- Face Mask Wearing Detection Algorithm Based on Improved YOLO-v4
- (2021) Jimin Yu et al. SENSORS
- A detection algorithm for cherry fruits based on the improved YOLO-v4 model
- (2021) Rongli Gai et al. NEURAL COMPUTING & APPLICATIONS
- Deep learning-based appearance features extraction for automated carp species identification
- (2020) Ashkan Banan et al. AQUACULTURAL ENGINEERING
- Study on the Evaluation Method of Sound Phase Cloud Maps Based on an Improved YOLOv4 Algorithm
- (2020) Qinfeng Zhu et al. SENSORS
- Iris presentation attack detection based on best-k feature selection from YOLO inspired RoI
- (2020) Meenakshi Choudhary et al. NEURAL COMPUTING & APPLICATIONS
- Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
- (2019) Zifeng Wu et al. PATTERN RECOGNITION
- CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture
- (2019) Yang-Yang Zheng et al. SENSORS
- Dual-arm cooperation and implementing for robotic harvesting tomato using binocular vision
- (2019) Xiao Ling et al. ROBOTICS AND AUTONOMOUS SYSTEMS
- Solving Current Limitations of Deep Learning Based Approaches for Plant Disease Detection
- (2019) Marko Arsenovic et al. Symmetry-Basel
- Real-time behavior detection and judgment of egg breeders based on YOLO v3
- (2019) Juan Wang et al. NEURAL COMPUTING & APPLICATIONS
- Object Detection With Deep Learning: A Review
- (2019) Zhong-Qiu Zhao et al. IEEE Transactions on Neural Networks and Learning Systems
- Deep learning in agriculture: A survey
- (2018) Andreas Kamilaris et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Apple flower detection using deep convolutional networks
- (2018) Philipe A. Dias et al. COMPUTERS IN INDUSTRY
- Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey
- (2018) Junwei Han et al. IEEE SIGNAL PROCESSING MAGAZINE
- Sigmoid-weighted linear units for neural network function approximation in reinforcement learning
- (2018) Stefan Elfwing et al. NEURAL NETWORKS
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- (2017) Shaoqing Ren et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- How Deep Learning Extracts and Learns Leaf Features for Plant Classification
- (2017) Sue Han Lee et al. PATTERN RECOGNITION
- Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- (2015) Kaiming He et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Advanced methods of plant disease detection. A review
- (2014) Federico Martinelli et al. Agronomy for Sustainable Development
- On Plant Detection of Intact Tomato Fruits Using Image Analysis and Machine Learning Methods
- (2014) Kyosuke Yamamoto et al. SENSORS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started