Can Vision Transformers with ResNet’s Global Features Fairly Authenticate Demographic Faces? Article Swipe

View

Abu Sufian , Marco Leo , Cosimo Distante , Anirudha Ghosh , Debaditya Barman ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1007/978-3-031-87657-8_25

Related Topics

Computer Science

Residual Neural Network

Artificial Intelligence

Computer Vision

Deep Learning

Concepts

Computer science Residual neural network Artificial intelligence Computer vision Deep learning

Metadata

Type: book-chapter
Language: en
Landing Page: https://doi.org/10.1007/978-3-031-87657-8_25
OA Status: green
Cited By: 1
References: 40
Related Works: 10
OpenAlex ID: https://openalex.org/W4410216602

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W4410216602

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.1007/978-3-031-87657-8_25

Digital Object Identifier
Title: Can Vision Transformers with ResNet’s Global Features Fairly Authenticate Demographic Faces?

Work title
Type: book-chapter

OpenAlex work type
Language: en

Primary language
Publication year: 2025

Year of publication
Publication date: 2025-01-01

Full publication date if available
Authors: Abu Sufian, Marco Leo, Cosimo Distante, Anirudha Ghosh, Debaditya Barman

List of authors in order
Landing page: https://doi.org/10.1007/978-3-031-87657-8_25

Publisher landing page
Open access: Yes

Whether a free full text is available
OA status: green

Open access status per OpenAlex
OA URL: https://arxiv.org/pdf/2506.05383

Direct OA link when available
Concepts: Computer science, Residual neural network, Artificial intelligence, Computer vision, Deep learning

Top concepts (fields/topics) attached by OpenAlex
Cited by: 1

Total citation count in OpenAlex
Citations by year (recent): 2025: 1

Per-year citation counts (last 5 years)
References (count): 40

Number of works referenced by this work
Related works (count): 10

Other works algorithmically related by OpenAlex

Full payload

id	https://openalex.org/W4410216602
doi	https://doi.org/10.1007/978-3-031-87657-8_25
ids.doi	https://doi.org/10.1007/978-3-031-87657-8_25
ids.openalex	https://openalex.org/W4410216602
fwci	9.06466277
type	book-chapter
title	Can Vision Transformers with ResNet’s Global Features Fairly Authenticate Demographic Faces?
biblio.issue
biblio.volume
biblio.last_page	370
biblio.first_page	357
topics[0].id	https://openalex.org/T11307
topics[0].field.id	https://openalex.org/fields/17
topics[0].field.display_name	Computer Science
topics[0].score	0.9473000168800354
topics[0].domain.id	https://openalex.org/domains/3
topics[0].domain.display_name	Physical Sciences
topics[0].subfield.id	https://openalex.org/subfields/1702
topics[0].subfield.display_name	Artificial Intelligence
topics[0].display_name	Domain Adaptation and Few-Shot Learning
topics[1].id	https://openalex.org/T11819
topics[1].field.id	https://openalex.org/fields/27
topics[1].field.display_name	Medicine
topics[1].score	0.9261000156402588
topics[1].domain.id	https://openalex.org/domains/4
topics[1].domain.display_name	Health Sciences
topics[1].subfield.id	https://openalex.org/subfields/2713
topics[1].subfield.display_name	Epidemiology
topics[1].display_name	Data-Driven Disease Surveillance
topics[2].id	https://openalex.org/T10689
topics[2].field.id	https://openalex.org/fields/22
topics[2].field.display_name	Engineering
topics[2].score	0.901199996471405
topics[2].domain.id	https://openalex.org/domains/3
topics[2].domain.display_name	Physical Sciences
topics[2].subfield.id	https://openalex.org/subfields/2214
topics[2].subfield.display_name	Media Technology
topics[2].display_name	Remote-Sensing Image Classification
is_xpac	False
apc_list.value	5000
apc_list.currency	EUR
apc_list.value_usd	5392
apc_paid
concepts[0].id	https://openalex.org/C41008148
concepts[0].level	0
concepts[0].score	0.8467048406600952
concepts[0].wikidata	https://www.wikidata.org/wiki/Q21198
concepts[0].display_name	Computer science
concepts[1].id	https://openalex.org/C2944601119
concepts[1].level	3
concepts[1].score	0.6607365608215332
concepts[1].wikidata	https://www.wikidata.org/wiki/Q43744058
concepts[1].display_name	Residual neural network
concepts[2].id	https://openalex.org/C154945302
concepts[2].level	1
concepts[2].score	0.5270136594772339
concepts[2].wikidata	https://www.wikidata.org/wiki/Q11660
concepts[2].display_name	Artificial intelligence
concepts[3].id	https://openalex.org/C31972630
concepts[3].level	1
concepts[3].score	0.4884147047996521
concepts[3].wikidata	https://www.wikidata.org/wiki/Q844240
concepts[3].display_name	Computer vision
concepts[4].id	https://openalex.org/C108583219
concepts[4].level	2
concepts[4].score	0.13375195860862732
concepts[4].wikidata	https://www.wikidata.org/wiki/Q197536
concepts[4].display_name	Deep learning
keywords[0].id	https://openalex.org/keywords/computer-science
keywords[0].score	0.8467048406600952
keywords[0].display_name	Computer science
keywords[1].id	https://openalex.org/keywords/residual-neural-network
keywords[1].score	0.6607365608215332
keywords[1].display_name	Residual neural network
keywords[2].id	https://openalex.org/keywords/artificial-intelligence
keywords[2].score	0.5270136594772339
keywords[2].display_name	Artificial intelligence
keywords[3].id	https://openalex.org/keywords/computer-vision
keywords[3].score	0.4884147047996521
keywords[3].display_name	Computer vision
keywords[4].id	https://openalex.org/keywords/deep-learning
keywords[4].score	0.13375195860862732
keywords[4].display_name	Deep learning
language	en
locations[0].id	doi:10.1007/978-3-031-87657-8_25
locations[0].is_oa	False
locations[0].source.id	https://openalex.org/S106296714
locations[0].source.issn	0302-9743, 1611-3349
locations[0].source.type	book series
locations[0].source.is_oa	False
locations[0].source.issn_l	0302-9743
locations[0].source.is_core	True
locations[0].source.is_in_doaj	False
locations[0].source.display_name	Lecture notes in computer science
locations[0].source.host_organization	https://openalex.org/P4310319900
locations[0].source.host_organization_name	Springer Science+Business Media
locations[0].source.host_organization_lineage	https://openalex.org/P4310319900, https://openalex.org/P4310319965
locations[0].source.host_organization_lineage_names	Springer Science+Business Media, Springer Nature
locations[0].license
locations[0].pdf_url
locations[0].version	publishedVersion
locations[0].raw_type	book-chapter
locations[0].license_id
locations[0].is_accepted	True
locations[0].is_published	True
locations[0].raw_source_name	Lecture Notes in Computer Science
locations[0].landing_page_url	https://doi.org/10.1007/978-3-031-87657-8_25
locations[1].id	pmh:oai:arXiv.org:2506.05383
locations[1].is_oa	True
locations[1].source.id	https://openalex.org/S4306400194
locations[1].source.issn
locations[1].source.type	repository
locations[1].source.is_oa	True
locations[1].source.issn_l
locations[1].source.is_core	False
locations[1].source.is_in_doaj	False
locations[1].source.display_name	arXiv (Cornell University)
locations[1].source.host_organization	https://openalex.org/I205783295
locations[1].source.host_organization_name	Cornell University
locations[1].source.host_organization_lineage	https://openalex.org/I205783295
locations[1].license
locations[1].pdf_url	https://arxiv.org/pdf/2506.05383
locations[1].version	submittedVersion
locations[1].raw_type	text
locations[1].license_id
locations[1].is_accepted	False
locations[1].is_published	False
locations[1].raw_source_name
locations[1].landing_page_url	http://arxiv.org/abs/2506.05383
indexed_in	arxiv, crossref
authorships[0].author.id	https://openalex.org/A5075541721
authorships[0].author.orcid	https://orcid.org/0000-0003-2035-2938
authorships[0].author.display_name	Abu Sufian
authorships[0].author_position	first
authorships[0].raw_author_name	Abu Sufian
authorships[0].is_corresponding	False
authorships[1].author.id	https://openalex.org/A5075788811
authorships[1].author.orcid	https://orcid.org/0000-0001-5636-6130
authorships[1].author.display_name	Marco Leo
authorships[1].author_position	middle
authorships[1].raw_author_name	Marco Leo
authorships[1].is_corresponding	False
authorships[2].author.id	https://openalex.org/A5002571252
authorships[2].author.orcid	https://orcid.org/0000-0002-1073-2390
authorships[2].author.display_name	Cosimo Distante
authorships[2].author_position	middle
authorships[2].raw_author_name	Cosimo Distante
authorships[2].is_corresponding	False
authorships[3].author.id	https://openalex.org/A5002267907
authorships[3].author.orcid	https://orcid.org/0009-0004-1465-0386
authorships[3].author.display_name	Anirudha Ghosh
authorships[3].author_position	middle
authorships[3].raw_author_name	Anirudha Ghosh
authorships[3].is_corresponding	False
authorships[4].author.id	https://openalex.org/A5002635411
authorships[4].author.orcid	https://orcid.org/0000-0002-7562-119X
authorships[4].author.display_name	Debaditya Barman
authorships[4].author_position	last
authorships[4].raw_author_name	Debaditya Barman
authorships[4].is_corresponding	False
has_content.pdf	False
has_content.grobid_xml	False
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://arxiv.org/pdf/2506.05383
open_access.oa_status	green
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	Can Vision Transformers with ResNet’s Global Features Fairly Authenticate Demographic Faces?
has_fulltext	False
is_retracted	False
updated_date	2025-11-06T03:46:38.306776
primary_topic.id	https://openalex.org/T11307
primary_topic.field.id	https://openalex.org/fields/17
primary_topic.field.display_name	Computer Science
primary_topic.score	0.9473000168800354
primary_topic.domain.id	https://openalex.org/domains/3
primary_topic.domain.display_name	Physical Sciences
primary_topic.subfield.id	https://openalex.org/subfields/1702
primary_topic.subfield.display_name	Artificial Intelligence
primary_topic.display_name	Domain Adaptation and Few-Shot Learning
related_works	https://openalex.org/W2772917594, https://openalex.org/W2036807459, https://openalex.org/W2058170566, https://openalex.org/W2755342338, https://openalex.org/W2166024367, https://openalex.org/W3116076068, https://openalex.org/W2229312674, https://openalex.org/W2951359407, https://openalex.org/W2079911747, https://openalex.org/W1969923398
cited_by_count	1
counts_by_year[0].year	2025
counts_by_year[0].cited_by_count	1
locations_count	2
best_oa_location.id	pmh:oai:arXiv.org:2506.05383
best_oa_location.is_oa	True
best_oa_location.source.id	https://openalex.org/S4306400194
best_oa_location.source.issn
best_oa_location.source.type	repository
best_oa_location.source.is_oa	True
best_oa_location.source.issn_l
best_oa_location.source.is_core	False
best_oa_location.source.is_in_doaj	False
best_oa_location.source.display_name	arXiv (Cornell University)
best_oa_location.source.host_organization	https://openalex.org/I205783295
best_oa_location.source.host_organization_name	Cornell University
best_oa_location.source.host_organization_lineage	https://openalex.org/I205783295
best_oa_location.license
best_oa_location.pdf_url	https://arxiv.org/pdf/2506.05383
best_oa_location.version	submittedVersion
best_oa_location.raw_type	text
best_oa_location.license_id
best_oa_location.is_accepted	False
best_oa_location.is_published	False
best_oa_location.raw_source_name
best_oa_location.landing_page_url	http://arxiv.org/abs/2506.05383
primary_location.id	doi:10.1007/978-3-031-87657-8_25
primary_location.is_oa	False
primary_location.source.id	https://openalex.org/S106296714
primary_location.source.issn	0302-9743, 1611-3349
primary_location.source.type	book series
primary_location.source.is_oa	False
primary_location.source.issn_l	0302-9743
primary_location.source.is_core	True
primary_location.source.is_in_doaj	False
primary_location.source.display_name	Lecture notes in computer science
primary_location.source.host_organization	https://openalex.org/P4310319900
primary_location.source.host_organization_name	Springer Science+Business Media
primary_location.source.host_organization_lineage	https://openalex.org/P4310319900, https://openalex.org/P4310319965
primary_location.source.host_organization_lineage_names	Springer Science+Business Media, Springer Nature
primary_location.license
primary_location.pdf_url
primary_location.version	publishedVersion
primary_location.raw_type	book-chapter
primary_location.license_id
primary_location.is_accepted	True
primary_location.is_published	True
primary_location.raw_source_name	Lecture Notes in Computer Science
primary_location.landing_page_url	https://doi.org/10.1007/978-3-031-87657-8_25
publication_date	2025-01-01
publication_year	2025
referenced_works	https://openalex.org/W4400525082, https://openalex.org/W2981673074, https://openalex.org/W3035418072, https://openalex.org/W4400527200, https://openalex.org/W4391136507, https://openalex.org/W4392411881, https://openalex.org/W4391841664, https://openalex.org/W3159754263, https://openalex.org/W3215674315, https://openalex.org/W4387339192, https://openalex.org/W3192864012, https://openalex.org/W2990426214, https://openalex.org/W2194775991, https://openalex.org/W4213225351, https://openalex.org/W3172031803, https://openalex.org/W4385188297, https://openalex.org/W4379742032, https://openalex.org/W3091905774, https://openalex.org/W2919115771, https://openalex.org/W4401717952, https://openalex.org/W6804036380, https://openalex.org/W3138516171, https://openalex.org/W4285254934, https://openalex.org/W4316036513, https://openalex.org/W4381716616, https://openalex.org/W4394708609, https://openalex.org/W4319163914, https://openalex.org/W4390190418, https://openalex.org/W2964105864, https://openalex.org/W4384561707, https://openalex.org/W4312193916, https://openalex.org/W6739901393, https://openalex.org/W4385456320, https://openalex.org/W3131500599, https://openalex.org/W3034942609, https://openalex.org/W4214493665, https://openalex.org/W4323338370, https://openalex.org/W4408865267, https://openalex.org/W4385388244, https://openalex.org/W4392172801
referenced_works_count	40
abstract_inverted_index
cited_by_percentile_year.max	95
cited_by_percentile_year.min	91
countries_distinct_count	0
institutions_distinct_count	5
citation_normalized_percentile.value	0.95770703
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	True