No-MambAAD: Revitalizing Conv-Only Networks for Unsupervised Anomaly Detection
Approved
Classifications
MinEdu publication type
A4 Article in conference proceedings (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Other article
Host publication type
Conference platform
Publication channel information
Title of host publication
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
ISBN (print)
979-8-3315-9995-9
ISBN (electronic)
979-8-3315-9994-2
Name of conference
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Title of journal/series
IEEE Computer society conference on computer vision and pattern recognition workshops
ISSN (print)
2160-7508
ISSN (electronic)
2160-7516
ISSN (linking)
2160-7508
Publisher
IEEE
Publication forum ID
70566
Publication forum level
1
Publication appears in FT-list
No
SNIP-level of the publication
1.72
Country of publication
United States
Internationality
Yes
Detailed publication information
Publication year
2025
Reporting year
2025
Page numbers
3986-3994
DOI
10.1109/cvprw67362.2025.00383
Language of publication
English
Co-publication information
International co-publication
No
Co-publication with a company
No
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
113 Computer and information sciences
Keywords
Visualization; Scalability; Computer architecture; Transformers; Feature extraction; Decoding; Complexity theory; Pattern recognition; Anomaly detection; Standards
Funding information
Funding information in the publication
This work has been supported by the ERDF project EURA 2021/403559/09 02 01 01/2023/EPL "TENTA"
Funders
Funder
European Union
Name of funding
-
Funding decision
-
Source database ID
Scopus ID
2-s2.0-105017850757