{"id":"https://openalex.org/W4403713337","doi":"https://doi.org/10.1145/3688867.3690174","title":"Predicting Scores of Various Aesthetic Attribute Sets by Learning from Overall Score Labels","display_name":"Predicting Scores of Various Aesthetic Attribute Sets by Learning from Overall Score Labels","publication_year":2024,"publication_date":"2024-10-23","ids":{"openalex":"https://openalex.org/W4403713337","doi":"https://doi.org/10.1145/3688867.3690174"},"language":"en","primary_location":{"id":"doi:10.1145/3688867.3690174","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3688867.3690174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice","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/A5057634513","display_name":"Heng Huang","orcid":"https://orcid.org/0000-0003-3036-2961"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Heng Huang","raw_affiliation_strings":["University of Science and Technology of China &amp; Beijing Electronic Science and Technology of Institute, Anhui, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China &amp; Beijing Electronic Science and Technology of Institute, Anhui, China","institution_ids":["https://openalex.org/I202334528","https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100641352","display_name":"Xin Jin","orcid":"https://orcid.org/0000-0003-3873-1653"},"institutions":[{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Jin","raw_affiliation_strings":["Beijing Electronic Science and Technology of Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Electronic Science and Technology of Institute, Beijing, China","institution_ids":["https://openalex.org/I202334528"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101726423","display_name":"Yaqi Liu","orcid":"https://orcid.org/0000-0002-1281-9182"},"institutions":[{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqi Liu","raw_affiliation_strings":["Beijing Electronic Science and Technology of Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Electronic Science and Technology of Institute, Beijing, China","institution_ids":["https://openalex.org/I202334528"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090139283","display_name":"Hao Lou","orcid":"https://orcid.org/0000-0003-0148-1574"},"institutions":[{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Lou","raw_affiliation_strings":["Beijing Electronic Science and Technology of Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Electronic Science and Technology of Institute, Beijing, China","institution_ids":["https://openalex.org/I202334528"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061858801","display_name":"Chaoen Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoen Xiao","raw_affiliation_strings":["Beijing Electronic Science and Technology of Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Electronic Science and Technology of Institute, Beijing, China","institution_ids":["https://openalex.org/I202334528"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061051770","display_name":"Shuai Cui","orcid":"https://orcid.org/0000-0003-0169-7762"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuai Cui","raw_affiliation_strings":["University of California, Davis, Davis, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Davis, Davis, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111225975","display_name":"Xining Li","orcid":null},"institutions":[{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xining Li","raw_affiliation_strings":["Beijing Electronic Science and Technology of Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Electronic Science and Technology of Institute, Beijing, China","institution_ids":["https://openalex.org/I202334528"]}]},{"author_position":"last","author":{"id":null,"display_name":"Dongqing Zou","orcid":"https://orcid.org/0009-0008-4501-0380"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongqing Zou","raw_affiliation_strings":["SenseTime Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"SenseTime Research, Beijing, China","institution_ids":["https://openalex.org/I4210128910"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5057634513"],"corresponding_institution_ids":["https://openalex.org/I126520041","https://openalex.org/I202334528"],"apc_list":null,"apc_paid":null,"fwci":0.3364,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60254834,"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":"63","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9869999885559082,"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/T12496","display_name":"Color perception and design","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5900418758392334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5123254060745239},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3448798656463623}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5900418758392334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5123254060745239},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3448798656463623}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3688867.3690174","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3688867.3690174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1242270816","display_name":null,"funder_award_id":"3282024049","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2041616772","https://openalex.org/W2078807908","https://openalex.org/W2080754665","https://openalex.org/W2104915826","https://openalex.org/W2194775991","https://openalex.org/W2307770531","https://openalex.org/W2417288846","https://openalex.org/W2514622527","https://openalex.org/W2554856610","https://openalex.org/W2754213847","https://openalex.org/W2798868169","https://openalex.org/W2891903896","https://openalex.org/W2896632102","https://openalex.org/W2897926040","https://openalex.org/W2904852565","https://openalex.org/W2949350952","https://openalex.org/W2962858109","https://openalex.org/W2985680131","https://openalex.org/W2985775862","https://openalex.org/W3011098590","https://openalex.org/W3096609285","https://openalex.org/W3103635814","https://openalex.org/W3121625413","https://openalex.org/W4301409532","https://openalex.org/W4379806294"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"For":[0],"aesthetic":[1,11,50,59,97,111,119,185,202,213],"attribute":[2,12,60,65,71,84,105,112,144,147,186,198,203],"evaluation":[3,61],"of":[4,9,29,52,118,205,208],"images":[5,209],"(AAEI),":[6],"the":[7,27,44,48,53,79,100,116,126,140,143,146,150,155,180],"annotation":[8],"image":[10,123],"scores":[13,51,72,152,199],"plays":[14],"an":[15,40,110,122],"important":[16],"role.":[17],"It":[18],"requires":[19],"experienced":[20],"artists":[21],"and":[22,73,104,124,149,153,218,222,224],"professional":[23],"photographers,":[24],"which":[25],"hinders":[26],"collection":[28],"large-scale":[30],"fully-annotated":[31],"datasets.":[32],"In":[33],"this":[34],"paper,":[35],"we":[36,108,138],"propose":[37,139],"to":[38,69,83,114,157,195],"learn":[39,196],"AAEI":[41],"model":[42,89,172],"from":[43,92,129],"datasets":[45,167,181],"with":[46,94,176,182,210],"only":[47,95,211],"overall":[49,74,96,103,151,212],"whole":[54],"image.":[55],"First,":[56],"a":[57,130],"novel":[58],"framework":[62],"based":[63],"on":[64,164,179],"features":[66,82],"is":[67,90,193],"proposed":[68],"predict":[70],"scores.":[75,106],"We":[76],"call":[77],"it":[78,192],"F2S":[80,88,160,171],"(attribute":[81],"scores)":[85],"model.":[86,161],"Our":[87],"trained":[91,178],"instances":[93],"scores,":[98,145,214],"bridging":[99],"gap":[101],"between":[102],"Second,":[107],"define":[109],"contribution":[113,135],"describe":[115],"role":[117],"attributes":[120],"throughout":[121],"use":[125,154],"attention":[127,132],"weights":[128],"channel":[131],"module":[133],"as":[134,216],"values.":[136],"Last,":[137],"relationship":[141,156],"among":[142],"contributions,":[148],"train":[158],"our":[159,170,190],"Sufficient":[162],"experiments":[163],"publicly":[165],"available":[166],"demonstrate":[168],"that":[169],"achieves":[173],"comparable":[174],"performance":[175],"those":[177],"fully":[183],"annotated":[184],"score":[187],"labels.":[188],"Using":[189],"method,":[191],"feasible":[194],"meaningful":[197],"for":[200,220,226],"various":[201],"sets":[204],"different":[206],"types":[207],"such":[215],"subject":[217],"composition":[219],"landscapes":[221],"emotion":[223],"pose":[225],"portraits.":[227]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
