EODM: On Developing Enhanced Object Detection Model using Fast Region-based Convolution Neural Networks (FRCNN)
In present scenario, in machine learning technology, computer vision technology and image processing have attained a massive growth. Amongst many branches of image processing and classification, Object Detection (OD) is the major research domain. In several domains such as face detection, self-drivi...
Main Authors: | Anuradha B., Karthik S., Mythili S., Kavitha M. S. |
---|---|
Format: | Article |
Language: | English |
Published: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2024-01-01
|
Series: | Tehnički Vjesnik |
Subjects: | |
Online Access: | https://hrcak.srce.hr/file/455002 |
Similar Items
-
Dual-Resolution Dual-Path Convolutional Neural Networks for Fast Object Detection
by: Jing Pan, et al.
Published: (2019-07-01) -
Innovative Region Convolutional Neural Network Algorithm for Object Identification
by: Yurika Permanasari, et al.
Published: (2022-12-01) -
Object Identification and Localization Using Grad-CAM++ with Mask Regional Convolution Neural Network
by: Xavier Alphonse Inbaraj, et al.
Published: (2021-06-01) -
Faster region based convolution neural network with context iterative refinement for object detection
by: Kishore Anthuvan Sahayaraj K., et al.
Published: (2024-02-01) -
Prediction of grape leaf through digital image using FRCNN
by: K Ashokkumar, et al.
Published: (2022-12-01)