{"id":"https://openalex.org/W4403754107","doi":"https://doi.org/10.48550/arxiv.2407.11393","title":"CIC-BART-SSA: Controllable Image Captioning with Structured Semantic Augmentation","display_name":"CIC-BART-SSA: Controllable Image Captioning with Structured Semantic Augmentation","publication_year":2024,"publication_date":"2024-07-16","ids":{"openalex":"https://openalex.org/W4403754107","doi":"https://doi.org/10.48550/arxiv.2407.11393"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2407.11393","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.11393","pdf_url":"https://arxiv.org/pdf/2407.11393","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2407.11393","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060531751","display_name":"Kalliopi Basioti","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Basioti, Kalliopi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101764721","display_name":"Mohamed Abbas Abdelsalam","orcid":"https://orcid.org/0000-0003-2842-6882"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abdelsalam, Mohamed A.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048077192","display_name":"Federico Fancellu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fancellu, Federico","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020368096","display_name":"Vladimir Pavlovi\u0107","orcid":"https://orcid.org/0000-0003-3979-1236"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pavlovic, Vladimir","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5017305009","display_name":"Afsaneh Fazly","orcid":"https://orcid.org/0000-0002-4479-4901"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fazly, Afsaneh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9912999868392944,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9833999872207642,"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/closed-captioning","display_name":"Closed captioning","score":0.9501135349273682},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6365470886230469},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6275500655174255},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4971525967121124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42573463916778564},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3946508467197418},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3423576354980469}],"concepts":[{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.9501135349273682},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6365470886230469},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6275500655174255},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4971525967121124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42573463916778564},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3946508467197418},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3423576354980469}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2407.11393","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.11393","pdf_url":"https://arxiv.org/pdf/2407.11393","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"doi:10.48550/arxiv.2407.11393","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2407.11393","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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2407.11393","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.11393","pdf_url":"https://arxiv.org/pdf/2407.11393","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4210416330","https://openalex.org/W3164229987","https://openalex.org/W3215212336","https://openalex.org/W4290852288","https://openalex.org/W3217388757","https://openalex.org/W3122720459","https://openalex.org/W4298897568","https://openalex.org/W4289422896","https://openalex.org/W1938708284","https://openalex.org/W4380190185"],"abstract_inverted_index":{"Controllable":[0],"Image":[1],"Captioning":[2],"(CIC)":[3],"aims":[4],"at":[5,221],"generating":[6],"natural":[7],"language":[8],"descriptions":[9],"for":[10,44,160],"an":[11,39,95],"image,":[12,40],"conditioned":[13],"on":[14,85],"information":[15],"provided":[16],"by":[17,209],"end":[18],"users,":[19],"e.g.,":[20],"regions,":[21],"entities":[22],"or":[23,57],"events":[24],"of":[25,38,55,87,91,121],"interest.":[26],"However,":[27],"available":[28,220],"image-language":[29],"datasets":[30,136],"mainly":[31],"contain":[32],"captions":[33,77,92,183],"that":[34,48,164,184],"describe":[35],"the":[36,88,117,138,161,199,213],"entirety":[37],"making":[41],"them":[42],"ineffective":[43],"training":[45],"CIC":[46,162,179],"models":[47],"can":[49],"potentially":[50],"attend":[51],"to":[52,70,108,132,177,212],"any":[53],"subset":[54],"regions":[56],"relationships.":[58],"To":[59],"tackle":[60],"this":[61,126],"challenge,":[62],"we":[63],"propose":[64],"a":[65,79,103,154],"novel,":[66],"fully":[67],"automatic":[68],"method":[69],"sample":[71],"additional":[72],"focused":[73,205,216],"and":[74,145,148,189,203],"visually":[75],"grounded":[76,139],"using":[78],"unified":[80],"structured":[81],"semantic":[82,106,146],"representation":[83],"built":[84],"top":[86],"existing":[89,134],"set":[90],"associated":[93],"with":[94,137],"image.":[96],"We":[97,124,151,172],"leverage":[98],"Abstract":[99],"Meaning":[100],"Representation":[101],"(AMR),":[102],"cross-lingual":[104],"graph-based":[105],"formalism,":[107],"encode":[109],"all":[110],"possible":[111],"spatio-semantic":[112],"relations":[113],"between":[114,201],"entities,":[115],"beyond":[116],"typical":[118],"spatial-relations-only":[119],"focus":[120],"current":[122],"methods.":[123],"use":[125],"Structured":[127],"Semantic":[128],"Augmentation":[129],"(SSA)":[130],"framework":[131],"augment":[133],"image-caption":[135],"controlled":[140,206],"captions,":[141],"increasing":[142],"their":[143],"spatial":[144],"diversity":[147,188],"focal":[149],"coverage.":[150],"then":[152],"develop":[153],"new":[155],"model,":[156],"CIC-BART-SSA,":[157],"specifically":[158],"tailored":[159],"task,":[163],"sources":[165],"its":[166],"control":[167],"signals":[168],"from":[169],"SSA-diversified":[170],"datasets.":[171],"empirically":[173],"show":[174],"that,":[175],"compared":[176],"SOTA":[178],"models,":[180],"CIC-BART-SSA":[181],"generates":[182],"are":[185,192],"superior":[186],"in":[187,194],"text":[190],"quality,":[191],"competitive":[193],"controllability,":[195],"and,":[196],"importantly,":[197],"minimize":[198],"gap":[200],"broad":[202],"highly":[204,215],"captioning":[207],"performance":[208],"efficiently":[210],"generalizing":[211],"challenging":[214],"scenarios.":[217],"Code":[218],"is":[219],"https://github.com/SamsungLabs/CIC-BART-SSA.":[222]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
