{"id":"https://openalex.org/W4403232844","doi":"https://doi.org/10.1007/s11263-024-02220-6","title":"Group-Based Distinctive Image Captioning with Memory Difference Encoding and Attention","display_name":"Group-Based Distinctive Image Captioning with Memory Difference Encoding and Attention","publication_year":2024,"publication_date":"2024-10-08","ids":{"openalex":"https://openalex.org/W4403232844","doi":"https://doi.org/10.1007/s11263-024-02220-6"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-024-02220-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-024-02220-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-024-02220-6.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11263-024-02220-6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081895678","display_name":"Jiuniu Wang","orcid":"https://orcid.org/0000-0002-6113-0066"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiuniu Wang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-6113-0066","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057777785","display_name":"Wenjia Xu","orcid":"https://orcid.org/0000-0002-1425-4162"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjia Xu","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073897483","display_name":"Qingzhong Wang","orcid":"https://orcid.org/0000-0003-1562-8098"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qingzhong Wang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065680386","display_name":"Antoni B. Chan","orcid":"https://orcid.org/0000-0002-2886-2513"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Antoni B. Chan","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065680386"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":{"value":3690,"currency":"USD","value_usd":3690},"apc_paid":{"value":3690,"currency":"USD","value_usd":3690},"fwci":0.4853,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60826995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"133","issue":"4","first_page":"1435","last_page":"1455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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":1.0,"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":0.9987000226974487,"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/T11605","display_name":"Visual Attention and Saliency Detection","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"}}],"keywords":[{"id":"https://openalex.org/keywords/closed-captioning","display_name":"Closed captioning","score":0.9247617721557617},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.749655544757843},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.6449384689331055},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6082918643951416},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5724548101425171},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5700597763061523},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.530276894569397},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4169237017631531},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38882946968078613},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3507941961288452},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.34314805269241333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26487407088279724}],"concepts":[{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.9247617721557617},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.749655544757843},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.6449384689331055},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6082918643951416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5724548101425171},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5700597763061523},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.530276894569397},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4169237017631531},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38882946968078613},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3507941961288452},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.34314805269241333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26487407088279724},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11263-024-02220-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-024-02220-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-024-02220-6.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/ee4e1653-2cc9-45bf-ac07-c60fd97aca35","is_oa":true,"landing_page_url":"https://scholars.cityu.edu.hk/en/publications/ee4e1653-2cc9-45bf-ac07-c60fd97aca35","pdf_url":null,"source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wang, J, Xu, W, Wang, Q & Chan, A B 2025, 'Group-Based Distinctive Image Captioning with Memory Difference Encoding and Attention', International Journal of Computer Vision, vol. 133, no. 4, pp. 1435\u20131455. https://doi.org/10.1007/s11263-024-02220-6","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s11263-024-02220-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-024-02220-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-024-02220-6.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G4505124202","display_name":null,"funder_award_id":"No.070323006","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8500008395","display_name":null,"funder_award_id":"Grant 62301063","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8865080453","display_name":null,"funder_award_id":"62301063","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403232844.pdf","grobid_xml":"https://content.openalex.org/works/W4403232844.grobid-xml"},"referenced_works_count":85,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1811254738","https://openalex.org/W1895577753","https://openalex.org/W1905882502","https://openalex.org/W1949478088","https://openalex.org/W1956340063","https://openalex.org/W2101105183","https://openalex.org/W2106277773","https://openalex.org/W2109255472","https://openalex.org/W2133459682","https://openalex.org/W2302086703","https://openalex.org/W2506483933","https://openalex.org/W2550553598","https://openalex.org/W2574790321","https://openalex.org/W2604178507","https://openalex.org/W2607059968","https://openalex.org/W2745461083","https://openalex.org/W2753215597","https://openalex.org/W2767057417","https://openalex.org/W2774267535","https://openalex.org/W2798959609","https://openalex.org/W2850386316","https://openalex.org/W2886641317","https://openalex.org/W2954841306","https://openalex.org/W2962968835","https://openalex.org/W2963037989","https://openalex.org/W2963084599","https://openalex.org/W2963170456","https://openalex.org/W2963448089","https://openalex.org/W2963635623","https://openalex.org/W2963686907","https://openalex.org/W2966715458","https://openalex.org/W2967834053","https://openalex.org/W2969876226","https://openalex.org/W2980088508","https://openalex.org/W2986670728","https://openalex.org/W2987118624","https://openalex.org/W2988793532","https://openalex.org/W2990818246","https://openalex.org/W2999905431","https://openalex.org/W3003478339","https://openalex.org/W3007120620","https://openalex.org/W3010593057","https://openalex.org/W3034655362","https://openalex.org/W3034682719","https://openalex.org/W3035160838","https://openalex.org/W3035284526","https://openalex.org/W3035323998","https://openalex.org/W3097062010","https://openalex.org/W3098358988","https://openalex.org/W3107015116","https://openalex.org/W3110761028","https://openalex.org/W3126337491","https://openalex.org/W3127608482","https://openalex.org/W3135367836","https://openalex.org/W3153469116","https://openalex.org/W3172872502","https://openalex.org/W3173658182","https://openalex.org/W3205647238","https://openalex.org/W3216130706","https://openalex.org/W4210649510","https://openalex.org/W4220798700","https://openalex.org/W4226244431","https://openalex.org/W4283756860","https://openalex.org/W4285265382","https://openalex.org/W4312300614","https://openalex.org/W4312385518","https://openalex.org/W4312537386","https://openalex.org/W4312563428","https://openalex.org/W4312605942","https://openalex.org/W4312922092","https://openalex.org/W4312924260","https://openalex.org/W4312938727","https://openalex.org/W4318718936","https://openalex.org/W4386075661","https://openalex.org/W4386076119","https://openalex.org/W4386076674","https://openalex.org/W4390873015","https://openalex.org/W4402916530","https://openalex.org/W6739901393","https://openalex.org/W6743895910","https://openalex.org/W6752113587","https://openalex.org/W6761205521","https://openalex.org/W6763367864","https://openalex.org/W6781748801"],"related_works":["https://openalex.org/W4210416330","https://openalex.org/W2775506363","https://openalex.org/W3088136942","https://openalex.org/W4290852288","https://openalex.org/W2949362007","https://openalex.org/W4283207562","https://openalex.org/W2963177403","https://openalex.org/W2330246314","https://openalex.org/W2949522393","https://openalex.org/W4289422896"],"abstract_inverted_index":{"Abstract":[0],"Recent":[1],"advances":[2],"in":[3,74,119,148,166],"image":[4,43,77,103,115,150,157],"captioning":[5,21],"have":[6],"focused":[7],"on":[8,26,252],"enhancing":[9,186],"accuracy":[10],"by":[11],"substantially":[12],"increasing":[13],"the":[14,35,41,62,70,84,100,125,183,187,190,203,209,213,223,237,242,260,269,274,277],"dataset":[15],"and":[16,33,123,144,212,248,272],"model":[17],"size.":[18],"While":[19],"conventional":[20],"models":[22],"exhibit":[23],"high":[24],"performance":[25,251],"established":[27],"metrics":[28],"such":[29,173],"as":[30],"BLEU,":[31],"CIDEr,":[32],"SPICE,":[34],"capability":[36],"of":[37,102,127,189,244,262,276],"captions":[38,205],"to":[39,98,142,206,228],"distinguish":[40],"target":[42],"from":[44,202],"other":[45,117,167],"similar":[46,76,121],"images":[47,118],"is":[48],"under-explored.":[49],"To":[50,193],"generate":[51],"distinctive":[52,200],"captions,":[53,104],"a":[54,75,95,134,219],"few":[55],"pioneers":[56],"employed":[57],"contrastive":[58],"learning":[59],"or":[60,81,87],"re-weighted":[61],"ground-truth":[63,204],"captions.":[64,192],"However,":[65],"these":[66],"approaches":[67],"often":[68],"overlook":[69],"relationships":[71],"among":[72],"objects":[73,165],"group":[78,122],"(e.g.,":[79],"items":[80],"properties":[82],"within":[83,155],"same":[85],"album":[86],"fine-grained":[88],"events).":[89],"In":[90,130],"this":[91,196],"paper,":[92],"we":[93,132,198,217],"introduce":[94,133],"novel":[96],"approach":[97],"enhance":[99],"distinctiveness":[101,188,243,253],"namely":[105],"Group-based":[106,135],"Differential":[107,136],"Distinctive":[108,224],"Captioning":[109],"Method,":[110],"which":[111],"visually":[112],"compares":[113],"each":[114,128],"with":[116,164,268],"one":[120],"highlights":[124],"uniqueness":[126],"image.":[129],"particular,":[131],"Memory":[137],"Attention":[138],"(GDMA)":[139],"module,":[140],"designed":[141],"identify":[143],"emphasize":[145],"object":[146,175],"features":[147,176],"an":[149],"that":[151,172,236],"are":[152,177,266],"uniquely":[153],"distinguishable":[154],"its":[156],"group,":[158],"i.e.,":[159],"those":[160],"exhibiting":[161],"low":[162],"similarity":[163],"images.":[168],"This":[169],"mechanism":[170],"ensures":[171],"unique":[174],"prioritized":[178],"during":[179],"caption":[180,231],"generation":[181],"for":[182],"image,":[184],"thereby":[185],"resulting":[191],"further":[194],"refine":[195],"process,":[197],"select":[199],"words":[201],"guide":[207],"both":[208],"language":[210],"decoder":[211],"GDMA":[214],"module.":[215],"Additionally,":[216],"propose":[218],"new":[220,278],"evaluation":[221,271],"metric,":[222],"Word":[225],"Rate":[226],"(DisWordRate),":[227],"quantitatively":[229],"assess":[230],"distinctiveness.":[232],"Quantitative":[233],"results":[234,261],"indicate":[235],"proposed":[238],"method":[239],"significantly":[240],"improves":[241],"several":[245],"baseline":[246],"models,":[247],"achieves":[249],"state-of-the-art":[250],"while":[254],"not":[255],"excessively":[256],"sacrificing":[257],"accuracy.":[258],"Moreover,":[259],"our":[263],"user":[264],"study":[265],"consistent":[267],"quantitative":[270],"demonstrate":[273],"rationality":[275],"metric":[279],"DisWordRate.":[280]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
