{"id":"https://openalex.org/W4416014021","doi":"https://doi.org/10.1609/aiide.v21i1.36820","title":"A Hybrid Co-Finetuning Approach for Visual Bug Detection in Video Games","display_name":"A Hybrid Co-Finetuning Approach for Visual Bug Detection in Video Games","publication_year":2025,"publication_date":"2025-11-07","ids":{"openalex":"https://openalex.org/W4416014021","doi":"https://doi.org/10.1609/aiide.v21i1.36820"},"language":null,"primary_location":{"id":"doi:10.1609/aiide.v21i1.36820","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aiide.v21i1.36820","pdf_url":"https://ojs.aaai.org/index.php/AIIDE/article/download/36820/38958","source":{"id":"https://openalex.org/S4387284112","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","issn_l":"2326-909X","issn":["2326-909X","2334-0924"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ojs.aaai.org/index.php/AIIDE/article/download/36820/38958","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062999747","display_name":"Faliu Yi","orcid":"https://orcid.org/0000-0002-1569-1436"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Faliu Yi","raw_affiliation_strings":["Xbox Studios Quality AI Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xbox Studios Quality AI Lab","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066773785","display_name":"Sherif Abdelfattah","orcid":"https://orcid.org/0000-0003-2890-8929"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sherif Abdelfattah","raw_affiliation_strings":["Xbox Studios Quality AI Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xbox Studios Quality AI Lab","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113932451","display_name":"Wei Huang","orcid":"https://orcid.org/0000-0003-2125-7908"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Huang","raw_affiliation_strings":["Xbox Studios Quality AI Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xbox Studios Quality AI Lab","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012574220","display_name":"A. J. Brown","orcid":"https://orcid.org/0000-0002-9352-6989"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adrian Brown","raw_affiliation_strings":["Xbox Studios Quality AI Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xbox Studios Quality AI Lab","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2703,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81602655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"21","issue":"1","first_page":"163","last_page":"173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.27630001306533813,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.27630001306533813,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.1257999986410141,"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/T10260","display_name":"Software Engineering Research","score":0.10649999976158142,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/robustness","display_name":"Robustness (evolution)","score":0.6717000007629395},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6384999752044678},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4693000018596649},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43290001153945923},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41260001063346863},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.412200003862381},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.3961000144481659},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3937000036239624}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8111000061035156},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6717000007629395},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6384999752044678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6301000118255615},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5831999778747559},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4693000018596649},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43290001153945923},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41260001063346863},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.412200003862381},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.3961000144481659},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3937000036239624},{"id":"https://openalex.org/C3018412434","wikidata":"https://www.wikidata.org/wiki/Q7889","display_name":"Video game","level":2,"score":0.3889000117778778},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.38600000739097595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34200000762939453},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3343999981880188},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.33009999990463257},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3167000114917755},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30559998750686646},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.2818000018596649},{"id":"https://openalex.org/C158495155","wikidata":"https://www.wikidata.org/wiki/Q2369151","display_name":"Visual search","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2669999897480011},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.258899986743927},{"id":"https://openalex.org/C168820333","wikidata":"https://www.wikidata.org/wiki/Q448889","display_name":"Visual inspection","level":2,"score":0.2554999887943268}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aiide.v21i1.36820","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aiide.v21i1.36820","pdf_url":"https://ojs.aaai.org/index.php/AIIDE/article/download/36820/38958","source":{"id":"https://openalex.org/S4387284112","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","issn_l":"2326-909X","issn":["2326-909X","2334-0924"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aiide.v21i1.36820","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aiide.v21i1.36820","pdf_url":"https://ojs.aaai.org/index.php/AIIDE/article/download/36820/38958","source":{"id":"https://openalex.org/S4387284112","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","issn_l":"2326-909X","issn":["2326-909X","2334-0924"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416014021.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Manual":[0],"identification":[1],"of":[2,44,93,132,163],"visual":[3,21,119,138],"bugs":[4],"in":[5],"video":[6],"games":[7],"is":[8],"a":[9,26,36,53],"resource-intensive":[10],"and":[11,63,75,115],"costly":[12],"process,":[13],"often":[14],"demanding":[15],"specialized":[16],"domain":[17],"knowledge.":[18],"While":[19],"supervised":[20],"bug":[22,120,139],"detection":[23,121],"models":[24],"offer":[25],"promising":[27],"solution,":[28],"their":[29],"reliance":[30],"on":[31,101],"extensive":[32],"labeled":[33,62,69,102,165],"datasets":[34],"presents":[35],"significant":[37],"challenge":[38],"due":[39],"to":[40,83,145],"the":[41,72,91,99,105,130,133,164,168],"infrequent":[42],"occurrence":[43],"such":[45],"bugs.":[46],"To":[47],"overcome":[48],"this":[49],"limitation,":[50],"we":[51],"propose":[52],"hybrid":[54],"Co-FineTuning":[55],"(CFT)":[56],"method":[57,135],"that":[58],"effectively":[59],"integrates":[60],"both":[61],"unlabeled":[64,81],"data.":[65],"Our":[66,126],"approach":[67],"leverages":[68],"samples":[70],"from":[71,104,167],"target":[73,107,169],"game":[74,124,137],"diverse":[76],"co-domain":[77],"games,":[78],"additionally":[79],"incorporating":[80],"data":[82,166],"enhance":[84],"feature":[85],"representation":[86],"learning.":[87],"This":[88],"strategy":[89],"maximizes":[90],"utility":[92],"all":[94],"available":[95],"data,":[96],"substantially":[97],"reducing":[98],"dependency":[100],"examples":[103],"specific":[106],"game.":[108,170],"The":[109],"developed":[110],"framework":[111],"demonstrates":[112],"enhanced":[113],"scalability":[114],"adaptability,":[116],"facilitating":[117],"efficient":[118],"across":[122,148],"various":[123],"titles.":[125],"experimental":[127],"results":[128],"show":[129],"robustness":[131],"proposed":[134],"for":[136],"detection,":[140],"exhibiting":[141],"superior":[142],"performance":[143,156],"compared":[144],"conventional":[146],"baselines":[147],"multiple":[149],"gaming":[150],"environments.":[151],"Furthermore,":[152],"CFT":[153],"maintains":[154],"competitive":[155],"even":[157],"when":[158],"trained":[159],"with":[160],"only":[161],"50%":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-07T00:00:00"}