EDCCN: A benchmark encoder-decoder framework for accurate crowd counting

Approved

Classifications

MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal

Authors of the publication

Number of authors
3
Authors
Tomar, Ankit; Nijhawan, Rahul; Koundal, Deepika

Publication channel information

Title of journal/series
Neurocomputing
ISSN (print)
0925-2312
ISSN (electronic)
1872-8286
ISSN (linking)
0925-2312
Publication forum ID
63879
Publication forum level
2
Internationality
Yes

Detailed publication information

Publication year
2025
Reporting year
2025
Journal/series volume number
640
Article number
130304
DOI
10.1016/j.neucom.2025.130304
Language of publication
English

Co-publication information

International co-publication
Yes
Co-publication with a company
No

Availability

Classification and additional information

MinEdu field of science classification
213 Electronic, automation and communications engineering, electronics
Keywords
Annotation per object; Cross evaluation; Crowd counting; EDCCN; Multi-domain; Occlusion

Source database ID

WoS ID
WOS:001510368900001
Scopus ID
2-s2.0-105004373135