{"id":"https://openalex.org/W7160269310","doi":"https://doi.org/10.1109/wacv61042.2026.00677","title":"ScoreNet: Netting Lightweight Quality Scores for Better Visual Assessment with Large Multi-Modality Models","display_name":"ScoreNet: Netting Lightweight Quality Scores for Better Visual Assessment with Large Multi-Modality Models","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7160269310","doi":"https://doi.org/10.1109/wacv61042.2026.00677"},"language":null,"primary_location":{"id":"doi:10.1109/wacv61042.2026.00677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","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/A5084240606","display_name":"Bahador Rashidi","orcid":"https://orcid.org/0000-0002-1508-0061"},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Bahador Rashidi","raw_affiliation_strings":["Huawei Technologies Canada Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Canada Co., Ltd","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031591668","display_name":"Kiarash Aghakasiri","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kiarash Aghakasiri","raw_affiliation_strings":["Huawei Technologies Canada Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Canada Co., Ltd","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036738966","display_name":"Shupei Zhang","orcid":"https://orcid.org/0000-0001-5642-5356"},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Shupei Zhang","raw_affiliation_strings":["Huawei Technologies Canada Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Canada Co., Ltd","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120021493","display_name":"Amirmohsen Sattarifard","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Amirmohsen Sattarifard","raw_affiliation_strings":["Huawei Technologies Canada Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Canada Co., Ltd","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135324398","display_name":"Yue Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["Huawei Technologies Canada Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Canada Co., Ltd","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135323654","display_name":"Chao Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Chao Gao","raw_affiliation_strings":["Huawei Technologies Canada Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Canada Co., Ltd","institution_ids":["https://openalex.org/I4210115038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210115038"],"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":"7008","last_page":"7018"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.30809998512268066,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.30809998512268066,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.12049999833106995,"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/T10799","display_name":"Data Visualization and Analytics","score":0.10440000146627426,"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/netting","display_name":"Netting","score":0.7214000225067139},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5734000205993652},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.3885999917984009},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.2935999929904938},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.28929999470710754}],"concepts":[{"id":"https://openalex.org/C2780646309","wikidata":"https://www.wikidata.org/wiki/Q1151380","display_name":"Netting","level":2,"score":0.7214000225067139},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5734000205993652},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5231000185012817},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.3885999917984009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3549000024795532},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.2935999929904938},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2809999883174896},{"id":"https://openalex.org/C168820333","wikidata":"https://www.wikidata.org/wiki/Q448889","display_name":"Visual inspection","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25380000472068787},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv61042.2026.00677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","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":39,"referenced_works":["https://openalex.org/W1974013408","https://openalex.org/W1977725648","https://openalex.org/W2046119925","https://openalex.org/W2092264651","https://openalex.org/W2102166818","https://openalex.org/W2133665775","https://openalex.org/W2563786098","https://openalex.org/W2618902759","https://openalex.org/W2754213847","https://openalex.org/W2768340063","https://openalex.org/W2890775339","https://openalex.org/W2905544033","https://openalex.org/W2914547694","https://openalex.org/W2962785568","https://openalex.org/W2963975576","https://openalex.org/W2970763616","https://openalex.org/W3017136408","https://openalex.org/W3030380536","https://openalex.org/W3035712445","https://openalex.org/W3036239693","https://openalex.org/W3098267758","https://openalex.org/W3174770825","https://openalex.org/W3194280054","https://openalex.org/W3198377975","https://openalex.org/W4229453513","https://openalex.org/W4297094443","https://openalex.org/W4309811444","https://openalex.org/W4312310776","https://openalex.org/W4382462760","https://openalex.org/W4386076169","https://openalex.org/W4387969545","https://openalex.org/W4390873714","https://openalex.org/W4393078930","https://openalex.org/W4394625665","https://openalex.org/W4402702941","https://openalex.org/W4402753956","https://openalex.org/W4403844348","https://openalex.org/W4404613040","https://openalex.org/W4405138907"],"related_works":[],"abstract_inverted_index":{"The":[0,158],"advancement":[1],"of":[2,34,48,67,75,89,103],"general":[3],"large":[4],"multi-modal":[5],"models":[6,23,150],"(LMMs)":[7],"has":[8],"transformed":[9],"many":[10],"computer":[11],"vision":[12],"tasks,":[13],"shifting":[14],"image":[15,94],"quality":[16],"assessment":[17],"(IQA)":[18],"from":[19,85],"specialized":[20],"algorithms":[21],"to":[22,70,124],"built":[24],"on":[25],"pre-trained":[26],"LMM":[27],"backbones.":[28],"This":[29,96],"evolution":[30],"raises":[31],"the":[32,46,65,72,101],"question":[33],"whether":[35],"dedicated":[36],"IQA":[37,73,91,106,127,156],"metrics":[38,69],"remain":[39],"relevant":[40],"or":[41],"are":[42],"becoming":[43],"obsolete":[44],"in":[45],"age":[47],"LMMs.":[49,76],"In":[50],"this":[51,55],"paper,":[52],"we":[53],"address":[54],"challenge":[56],"by":[57],"introducing":[58],"ScoreNet,":[59],"a":[60,79,86,109,120],"novel":[61],"framework":[62],"that":[63,116,144],"fuses":[64],"strengths":[66],"traditional":[68],"elevate":[71],"capabilities":[74],"ScoreNet":[77,117,131,145],"employs":[78],"soft":[80],"prompting":[81],"mechanism,":[82],"learning":[83,98],"prompts":[84],"curated":[87],"set":[88],"lightweight":[90],"scores":[92],"and":[93,136],"embeddings.":[95],"context-driven":[97],"strategy":[99],"enhances":[100],"adaptability":[102],"LMMs":[104],"for":[105],"tasks":[107],"with":[108],"small":[110],"additional":[111],"computation":[112],"cost.":[113],"We":[114,129],"show":[115,143],"serves":[118],"as":[119],"general-purpose":[121],"extension":[122],"applicable":[123],"modern":[125],"LMM-based":[126],"models.":[128],"integrate":[130],"into":[132],"two":[133],"high-performing":[134],"methods\u2014CLIP-IQA":[135],"Q-Align\u2014and":[137],"observe":[138],"consistent":[139],"improvements.":[140],"Experimental":[141],"results":[142],"not":[146],"only":[147],"boosts":[148],"both":[149],"but":[151],"also":[152],"surpasses":[153],"other":[154],"state-of-the-art":[155],"approaches.":[157],"code":[159],"is":[160],"available":[161],"at":[162],"https://github.com/AISmartPerception/ScoreNet":[163]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-05-06T00:00:00"}
