{"id":"https://openalex.org/W7161162530","doi":"https://doi.org/10.48550/arxiv.2605.13396","title":"PreFIQs: Face Image Quality Is What Survives Pruning","display_name":"PreFIQs: Face Image Quality Is What Survives Pruning","publication_year":2026,"publication_date":"2026-05-13","ids":{"openalex":"https://openalex.org/W7161162530","doi":"https://doi.org/10.48550/arxiv.2605.13396"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.13396","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13396","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.13396","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069065641","display_name":"Jan Niklas Kolf","orcid":"https://orcid.org/0000-0002-0037-5334"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kolf, Jan Niklas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115792474","display_name":"Guray Ozgur","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ozgur, Guray","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000611305","display_name":"Andrea Atzori","orcid":"https://orcid.org/0000-0002-6910-206X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Atzori, Andrea","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136123275","display_name":"\u017diga Babnik","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Babnik, \u017diga","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136161390","display_name":"Vitomir \u0160truc","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u0160truc, Vitomir","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136159432","display_name":"Naser Damer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Damer, Naser","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5028035125","display_name":"Fadi Boutros","orcid":"https://orcid.org/0000-0003-4516-9128"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boutros, Fadi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9205999970436096,"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"}},"topics":[{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9205999970436096,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.023499999195337296,"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"}},{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.011599999852478504,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6898999810218811},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.676800012588501},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6312999725341797},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6108999848365784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5376999974250793},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.451200008392334},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.4284999966621399},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.4171000123023987}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7609999775886536},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6898999810218811},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.676800012588501},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6312999725341797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6128000020980835},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6108999848365784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5376999974250793},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.451200008392334},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4478999972343445},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.4284999966621399},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4171000123023987},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.40610000491142273},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.39750000834465027},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.3698999881744385},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.34700000286102295},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.32659998536109924},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3197999894618988},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30070000886917114},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.28459998965263367},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2711000144481659},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.13396","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13396","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.13396","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13396","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Face":[0],"Image":[1],"Quality":[2],"Assessment":[3],"(FIQA)":[4],"evaluates":[5],"the":[6,32,67,106,111],"utility":[7,65],"of":[8,55,105,110],"a":[9,75,85,90,101,156],"face":[10,14,42,163],"image":[11,64,164],"for":[12,162],"automated":[13],"recognition":[15],"(FR)":[16],"systems.":[17],"In":[18],"this":[19,96],"work,":[20],"we":[21],"propose":[22],"PreFIQs,":[23],"an":[24],"unsupervised":[25],"and":[26,79,120,158,166],"training-free":[27],"FIQA":[28,135],"framework":[29],"grounded":[30],"in":[31,51,171],"Pruning":[33],"Identified":[34],"Exemplar":[35],"(PIE)":[36],"hypothesis.":[37],"We":[38,83],"hypothesize":[39],"that":[40,95,125,168],"low-utility":[41],"images":[43],"rely":[44],"disproportionately":[45],"on":[46,142],"fragile":[47],"network":[48],"parameters,":[49],"resulting":[50],"larger":[52],"geometric":[53,108],"displacement":[54],"their":[56],"embeddings":[57,72],"under":[58],"model":[59,78],"sparsification.":[60],"Accordingly,":[61],"PreFIQs":[62,126],"quantifies":[63],"as":[66,100,155],"Euclidean":[68],"distance":[69],"between":[70],"L2-normalized":[71],"extracted":[73],"from":[74],"pre-trained":[76],"FR":[77,122],"its":[80],"pruned":[81],"counterpart.":[82],"provide":[84],"first-order":[86],"theoretical":[87],"justification":[88],"via":[89],"Jacobian-vector":[91],"product":[92],"analysis,":[93],"demonstrating":[94],"empirical":[97],"drift":[98],"serves":[99],"computationally":[102],"efficient":[103,160],"approximation":[104],"exact":[107],"sensitivity":[109],"latent":[112],"embedding":[113],"manifold.":[114],"Extensive":[115],"experiments":[116],"across":[117],"eight":[118],"benchmarks":[119],"four":[121],"models":[123],"demonstrate":[124,167],"achieves":[127],"competitive":[128],"or":[129,148],"superior":[130],"performance":[131],"compared":[132],"to":[133],"state-of-the-art":[134,140],"methods,":[136],"including":[137],"establishing":[138],"new":[139],"results":[141,151],"several":[143],"benchmarks,":[144],"without":[145],"any":[146],"training":[147],"supervision.":[149],"These":[150],"validate":[152],"parameter":[153],"sparsification":[154],"principled":[157],"practically":[159],"signal":[161],"utility,":[165],"quality":[169],"is,":[170],"essence,":[172],"what":[173],"survives":[174],"pruning.":[175]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-15T00:00:00"}
