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A Survey on Multi-label Classification for Images
by
Radhika Devkar,
Sankirti Shiravale
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 162 - Number 8 |
| Year of Publication: 2017 |
| Authors: Radhika Devkar, Sankirti Shiravale |
10.5120/ijca2017913398
|
Radhika Devkar, Sankirti Shiravale . A Survey on Multi-label Classification for Images. International Journal of Computer Applications. 162, 8 ( Mar 2017), 39-42. DOI=10.5120/ijca2017913398
@article{
10.5120/ijca2017913398,
author = {
Radhika Devkar,
Sankirti Shiravale
},
title = { A Survey on Multi-label Classification for Images },
journal = {
International Journal of Computer Applications
},
issue_date = { Mar 2017 },
volume = { 162 },
number = { 8 },
month = { Mar },
year = { 2017 },
issn = { 0975-8887 },
pages = {
39-42
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume162/number8/27267-2017913398/
},
doi = { 10.5120/ijca2017913398 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:08:31.408465+05:30
%A Radhika Devkar
%A Sankirti Shiravale
%T A Survey on Multi-label Classification for Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 162
%N 8
%P 39-42
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The area of an image multi-label classification is increase continuously in last few years, in machine learning and computer vision. Multi-label classification has attracted significant attention from researchers and has been applied to an image annotation. In multi-label classification, each instance is assigned to multiple classes; it is a common problem in data analysis. In this paper, represent general survey on the research work is going on in the field of multi-label classification. Finally, paper is concluded towards challenges in multi-label classification for images for future research.
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Index Terms
Computer Science
Information Sciences
Keywords