{"id":"https://openalex.org/W4389501448","doi":"https://doi.org/10.48550/arxiv.2312.04314","title":"GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives","display_name":"GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389501448","doi":"https://doi.org/10.48550/arxiv.2312.04314"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2312.04314","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":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2312.04314","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076950353","display_name":"Zuyao Chen","orcid":"https://orcid.org/0000-0001-8601-2771"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zuyao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101884820","display_name":"Jinlin Wu","orcid":"https://orcid.org/0000-0001-6805-1822"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Jinlin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109299788","display_name":"Zhen Lei","orcid":"https://orcid.org/0000-0002-0791-189X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei, Zhen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028016065","display_name":"Zhaoxiang Zhang","orcid":"https://orcid.org/0000-0003-2648-3875"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zhaoxiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5002277899","display_name":"Chang Wen Chen","orcid":"https://orcid.org/0000-0002-6720-234X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Changwen","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"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":1,"citation_normalized_percentile":{"value":0.762268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":67,"max":78},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9999,"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":0.9999,"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/T10028","display_name":"Topic Modeling","score":0.9943,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9905,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scene-graph","display_name":"Scene graph","score":0.67710966},{"id":"https://openalex.org/keywords/representation","display_name":"Representation","score":0.4981196}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7774365},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.74684894},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.716287},{"id":"https://openalex.org/C179372163","wikidata":"https://www.wikidata.org/wiki/Q1406181","display_name":"Scene graph","level":3,"score":0.67710966},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.6400705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.54763585},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.50589126},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4981196},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48136646},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4248512},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4158426},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32215977},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19887596},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.13381937},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2312.04314","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":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2312.04314","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2312.04314","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":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4392007279","https://openalex.org/W4387129494","https://openalex.org/W4287854977","https://openalex.org/W2963192850","https://openalex.org/W2923538289","https://openalex.org/W2769151336","https://openalex.org/W2754155766","https://openalex.org/W2470643824","https://openalex.org/W2353179089","https://openalex.org/W2353125546"],"abstract_inverted_index":{"Learning":[0],"scene":[1,37,103,119,171],"graphs":[2,120],"from":[3,58,121,150],"natural":[4],"language":[5,49,130],"descriptions":[6],"has":[7],"proven":[8],"to":[9,53,83,98,117],"be":[10,42],"a":[11,111,161,170],"cheap":[12],"and":[13,26,35,80,101,123,132,144,160],"promising":[14],"scheme":[15],"for":[16,95],"Scene":[17],"Graph":[18],"Generation":[19],"(SGG).":[20],"However,":[21],"such":[22,154],"unstructured":[23],"caption":[24,59,75],"data":[25,76,159],"its":[27],"processing":[28],"are":[29,78,148],"troubling":[30],"the":[31,96,151,182,202],"learning":[32],"an":[33,164],"acurrate":[34],"complete":[36],"graph.":[38],"This":[39],"dilema":[40],"can":[41,196],"summarized":[43],"as":[44,173],"three":[45,90],"points.":[46],"First,":[47],"traditional":[48,129],"parsers":[50],"often":[51],"fail":[52],"extract":[54],"meaningful":[55],"relationship":[56,137,141],"triplets":[57,67],"data.":[60,190],"Second,":[61],"grounding":[62],"unlocalized":[63],"objects":[64,134],"in":[65,71],"parsed":[66],"will":[68],"meet":[69],"ambiguity":[70],"visual-language":[72],"alignment.":[73],"Last,":[74],"typically":[77],"sparse":[79],"exhibit":[81],"bias":[82],"partial":[84],"observations":[85],"of":[86,157,184,206],"image":[87,158],"content.":[88],"These":[89],"issues":[91],"make":[92],"it":[93],"hard":[94],"model":[97],"generate":[99],"comprehensive":[100],"accurate":[102],"graphs.":[104],"To":[105,139],"fill":[106],"this":[107,193],"gap,":[108],"we":[109],"propose":[110],"simple":[112],"yet":[113],"effective":[114],"framework,":[115],"GPT4SGG,":[116],"synthesize":[118],"holistic":[122,143],"region-specific":[124,146],"narratives.":[125],"The":[126],"framework":[127],"discards":[128],"parser,":[131],"localize":[133],"before":[135],"obtaining":[136],"triplets.":[138],"obtain":[140],"triplets,":[142],"dense":[145],"narratives":[147],"generated":[149],"image.":[152],"With":[153],"textual":[155],"representation":[156],"task-specific":[162],"prompt,":[163],"LLM,":[165],"particularly":[166],"GPT-4,":[167],"directly":[168],"synthesizes":[169],"graph":[172],"\"pseudo":[174],"labels\".":[175],"Experimental":[176],"results":[177],"showcase":[178],"GPT4SGG":[179],"significantly":[180],"improves":[181],"performance":[183],"SGG":[185],"models":[186],"trained":[187],"on":[188],"image-caption":[189],"We":[191],"believe":[192],"pioneering":[194],"work":[195],"motivate":[197],"further":[198],"research":[199],"into":[200],"mining":[201],"visual":[203],"reasoning":[204],"capabilities":[205],"LLMs.":[207]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4389501448","counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-01-03T04:41:23.144729","created_date":"2023-12-09"}