Transfer Learning Models for CNN Fusion With Fisher Vector for Codebook Optimization of Foreground Features-Reference-Cited by-同舟云学术

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Transfer Learning Models for CNN Fusion With Fisher Vector for Codebook Optimization of Foreground Features

Published:2024 Issue: Volume:12 Page:5648-5658
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kamaleldin Mohamed Gamal M.¹^ORCID,Abu-Bakar Syed A. R.²^ORCID,Sheikh Usman Ullah³^ORCID

Affiliation:

1. Electronics and Communications Engineering Department, Arab Academy for Science, Technology and Maritime Transport, Cairo, Egypt

2. Computer Vision, Video and Image Processing Research Laboratory, School of Electrical Engineering, Universiti Teknologi Malaysia, Skudai, Malaysia

3. Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia

Funder

Ministry of Education Malaysia and Universiti Teknologi Malaysia (UTM) under the UTM Fundamental Research Grant

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10343140.pdf?arnumber=10343140

Reference56 articles.

1. Codebook Learning for Image Recognition Based on Parallel Key SIFT Analysis

2. Image classification using SURF and bag of LBP features constructed by clustering with fixed centers

3. Action Recognition with Improved Trajectories

4. Visual categorization with bags of keypoints;Venegas-Barrera;Rev. Mex. Biodivers.,2011

5. Into compact codes;Perronnin;Analysis,2012

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