{"id":"https://openalex.org/W4386596906","doi":"https://doi.org/10.1109/icip49359.2023.10223120","title":"LGSQE: Lightweight Generated Sample Quality Evaluation","display_name":"LGSQE: Lightweight Generated Sample Quality Evaluation","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386596906","doi":"https://doi.org/10.1109/icip49359.2023.10223120"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10223120","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10223120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","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/A5071640220","display_name":"Ganning Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ganning Zhao","raw_affiliation_strings":["University of Southern California,Los Angeles, California,USA","University of Southern California, Los Angeles, California, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California,Los Angeles, California,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California, Los Angeles, California, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003671567","display_name":"Vasileios Magoulianitis","orcid":"https://orcid.org/0009-0005-3907-1003"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vasileios Magoulianitis","raw_affiliation_strings":["University of Southern California,Los Angeles, California,USA","University of Southern California, Los Angeles, California, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California,Los Angeles, California,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California, Los Angeles, California, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101137673","display_name":"Suya You","orcid":null},"institutions":[{"id":"https://openalex.org/I2802705668","display_name":"United States Army Combat Capabilities Development Command","ror":"https://ror.org/02rdkx920","country_code":"US","type":"other","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suya You","raw_affiliation_strings":["DEVCOM Army Research Laboratory,Los Angeles,CA,USA,90094"],"affiliations":[{"raw_affiliation_string":"DEVCOM Army Research Laboratory,Los Angeles,CA,USA,90094","institution_ids":["https://openalex.org/I2802705668"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001082656","display_name":"C.\u2010C. Jay Kuo","orcid":"https://orcid.org/0000-0001-9474-5035"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C.-C. Jay Kuo","raw_affiliation_strings":["University of Southern California,Los Angeles, California,USA","University of Southern California, Los Angeles, California, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California,Los Angeles, California,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California, Los Angeles, California, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071640220"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.1206,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41359696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1915","last_page":"1919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9991999864578247,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9991999864578247,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9907000064849854,"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/computer-science","display_name":"Computer science","score":0.7405351400375366},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6147165894508362},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5744907855987549},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5682679414749146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5515440106391907},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5443257093429565},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5114525556564331},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4830911159515381},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4361411929130554},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43444138765335083},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4267244338989258},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.41804319620132446},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4110540747642517},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19955512881278992},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17841902375221252}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7405351400375366},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6147165894508362},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5744907855987549},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5682679414749146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5515440106391907},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5443257093429565},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5114525556564331},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4830911159515381},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4361411929130554},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43444138765335083},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4267244338989258},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41804319620132446},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4110540747642517},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19955512881278992},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17841902375221252},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10223120","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10223120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W967544008","https://openalex.org/W1834627138","https://openalex.org/W2099057450","https://openalex.org/W2519796145","https://openalex.org/W2592101326","https://openalex.org/W2608422103","https://openalex.org/W2791601307","https://openalex.org/W2894843516","https://openalex.org/W2951984970","https://openalex.org/W2962770929","https://openalex.org/W2963185411","https://openalex.org/W2963373786","https://openalex.org/W2963684088","https://openalex.org/W2963873275","https://openalex.org/W2996816325","https://openalex.org/W3034720584","https://openalex.org/W3034723908","https://openalex.org/W3091383840","https://openalex.org/W3108650314","https://openalex.org/W3118608800","https://openalex.org/W4205206005","https://openalex.org/W4281847696","https://openalex.org/W4285486545","https://openalex.org/W4285981784","https://openalex.org/W4286869901","https://openalex.org/W4293343253","https://openalex.org/W4294643831","https://openalex.org/W4299879214","https://openalex.org/W4301206121","https://openalex.org/W4309478822","https://openalex.org/W4312810855","https://openalex.org/W4313148451","https://openalex.org/W4360592915","https://openalex.org/W6625168331","https://openalex.org/W6674887261","https://openalex.org/W6685352114","https://openalex.org/W6718379498","https://openalex.org/W6734373134","https://openalex.org/W6735525128","https://openalex.org/W6745560452","https://openalex.org/W6746090280","https://openalex.org/W6748041741","https://openalex.org/W6748982356","https://openalex.org/W6752753668","https://openalex.org/W6765779288","https://openalex.org/W6774125049","https://openalex.org/W6779093361","https://openalex.org/W6787972765","https://openalex.org/W6790840731","https://openalex.org/W6803132585","https://openalex.org/W6838829352","https://openalex.org/W6838910450"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4395044357","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W2087346071","https://openalex.org/W2967848559","https://openalex.org/W4299831724"],"abstract_inverted_index":{"Despite":[0],"prolific":[1],"work":[2],"on":[3,12,49,143],"evaluating":[4],"generative":[5,127,147],"models,":[6,128],"little":[7],"research":[8],"has":[9],"been":[10],"done":[11],"the":[13,39,67,70,87,91,95,124,155,164],"quality":[14,29,92,96,115],"evaluation":[15,30],"of":[16,42,86,126],"an":[17],"individual":[18],"generated":[19,27,82],"sample.":[20,83],"To":[21],"address":[22],"this":[23,36],"problem,":[24],"a":[25,44,111],"lightweight":[26],"sample":[28],"(LGSQE)":[31],"method":[32],"is":[33,47,97,103],"proposed":[34],"in":[35],"work.":[37],"In":[38,66],"training":[40],"stage":[41],"LGSQE,":[43],"binary":[45],"classifier":[46,71],"trained":[48],"real":[50,55],"and":[51,56,63,134,146],"synthetic":[52,57],"samples,":[53],"where":[54],"data":[58],"are":[59,141],"labeled":[60],"by":[61,136,163],"0":[62,77],"1,":[64],"respectively.":[65],"inference":[68],"stage,":[69],"assigns":[72],"soft":[73,88,101],"labels":[74],"(ranging":[75],"from":[76],"to":[78,80,105,122,149],"1)":[79],"each":[81],"The":[84],"value":[85],"label":[89,102],"indicates":[90],"level;":[93],"namely,":[94],"better":[98],"if":[99],"its":[100],"closer":[104],"0.":[106],"LGSQE":[107,118,152],"can":[108,119,153],"serve":[109],"as":[110,130,160],"post-processing":[112],"module":[113],"for":[114],"control.":[116],"Furthermore,":[117],"be":[120],"used":[121],"evaluate":[123],"performance":[125,157],"such":[129],"accuracy,":[131],"AUC,":[132],"precision,":[133],"recall,":[135],"aggregating":[137],"sample-level":[138],"quality.":[139],"Experiments":[140],"conducted":[142],"several":[144],"datasets":[145],"models":[148],"demonstrate":[150],"that":[151,161],"preserve":[154],"same":[156],"rank":[158],"order":[159],"predicted":[162],"Fr\u00e9chet":[165],"Inception":[166],"Distance":[167],"(FID)":[168],"but":[169],"with":[170],"significantly":[171],"lower":[172],"complexity.":[173]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
