{"id":"https://openalex.org/W4402916266","doi":"https://doi.org/10.1109/cvprw63382.2024.00103","title":"Supervised Contrastive Learning for Snapshot Spectral Imaging Face Anti-Spoofing","display_name":"Supervised Contrastive Learning for Snapshot Spectral Imaging Face Anti-Spoofing","publication_year":2024,"publication_date":"2024-06-17","ids":{"openalex":"https://openalex.org/W4402916266","doi":"https://doi.org/10.1109/cvprw63382.2024.00103"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw63382.2024.00103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw63382.2024.00103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083155503","display_name":"Chuanbiao Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chuanbiao Song","raw_affiliation_strings":["Ant Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101831189","display_name":"Yan Hong","orcid":"https://orcid.org/0000-0001-9503-1288"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan Hong","raw_affiliation_strings":["Ant Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101860839","display_name":"Jun Lan","orcid":"https://orcid.org/0000-0003-1967-8375"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Lan","raw_affiliation_strings":["Ant Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110390049","display_name":"Huijia Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huijia Zhu","raw_affiliation_strings":["Ant Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057512689","display_name":"Weiqiang Wang","orcid":"https://orcid.org/0000-0003-2782-8652"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiqiang Wang","raw_affiliation_strings":["Ant Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100395004","display_name":"Jianfu Zhang","orcid":"https://orcid.org/0000-0002-2673-5860"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfu Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University,Qing Yuan Research Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Qing Yuan Research Institute","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5659,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84415584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"980","last_page":"985"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9460999965667725,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.8046776056289673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7278259992599487},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5934829711914062},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4524076581001282},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.44268354773521423},{"id":"https://openalex.org/keywords/spoofing-attack","display_name":"Spoofing attack","score":0.42770785093307495},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3529883325099945},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11473649740219116}],"concepts":[{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.8046776056289673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7278259992599487},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5934829711914062},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4524076581001282},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.44268354773521423},{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.42770785093307495},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3529883325099945},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11473649740219116},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw63382.2024.00103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw63382.2024.00103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2059467159","https://openalex.org/W2095252718","https://openalex.org/W2096733369","https://openalex.org/W2138621882","https://openalex.org/W2325939864","https://openalex.org/W2511115389","https://openalex.org/W2511401065","https://openalex.org/W2941320604","https://openalex.org/W2963351448","https://openalex.org/W2969985801","https://openalex.org/W3035014997","https://openalex.org/W3035459165","https://openalex.org/W3169129566","https://openalex.org/W3199528201","https://openalex.org/W4297239554","https://openalex.org/W4312402191","https://openalex.org/W4319300360","https://openalex.org/W4385805121","https://openalex.org/W4389722805","https://openalex.org/W6637339757","https://openalex.org/W6726497184","https://openalex.org/W6743428213","https://openalex.org/W6745136726","https://openalex.org/W6790545018","https://openalex.org/W6791449262"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W2188559950","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2989910292","https://openalex.org/W2998478967","https://openalex.org/W2044184146"],"abstract_inverted_index":{"This":[0,68],"study":[1],"reveals":[2],"a":[3,20],"cutting-edge":[4],"re-balanced":[5],"contrastive":[6,56],"learning":[7,57],"strategy":[8,80],"aimed":[9],"at":[10,96],"strengthening":[11],"face":[12],"anti-spoofing":[13],"capabilities":[14],"within":[15],"facial":[16],"recognition":[17],"systems,":[18],"with":[19,58],"focus":[21],"on":[22,90,105],"countering":[23],"the":[24,38,91,97],"challenges":[25],"posed":[26],"by":[27],"printed":[28],"photos,":[29],"and":[30,61,74],"highly":[31],"realistic":[32],"silicone":[33],"or":[34],"latex":[35],"masks.":[36],"Leveraging":[37],"HySpeFAS":[39,92],"dataset,":[40,93],"which":[41],"benefits":[42],"from":[43],"Snapshot":[44,99],"Spectral":[45,100],"Imaging":[46,101],"technology":[47],"to":[48],"provide":[49],"hyperspectral":[50],"images,":[51],"our":[52,79],"approach":[53],"harmonizes":[54],"class-level":[55],"data":[59],"resampling":[60],"an":[62,82],"innovative":[63],"real-face":[64],"oriented":[65],"reweighting":[66],"technique.":[67],"method":[69],"effectively":[70],"mitigates":[71],"dataset":[72],"imbalances":[73],"reduces":[75],"identity-related":[76],"biases.":[77],"Notably,":[78],"achieved":[81],"unprecedented":[83],"0.0000%":[84],"Average":[85],"Classification":[86],"Error":[87],"Rate":[88],"(ACER)":[89],"ranking":[94],"first":[95],"Chalearn":[98],"Face":[102],"Anti-spoofing":[103],"Challenge":[104],"CVPR":[106],"2024.":[107]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}
