{"id":"https://openalex.org/W4416250424","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227400","title":"Adaptive Equilibrium Awareness Learning for Change Caption","display_name":"Adaptive Equilibrium Awareness Learning for Change Caption","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416250424","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227400"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5100633825","display_name":"Lin Cai","orcid":"https://orcid.org/0000-0003-0903-6731"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lilin Cai","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),School of Mathematics and Statistics,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),School of Mathematics and Statistics,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Guokai Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guokai Yang","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),School of Mathematics and Statistics,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),School of Mathematics and Statistics,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045411027","display_name":"Ning Wu","orcid":"https://orcid.org/0000-0002-1899-2648"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ningyu Wu","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),School of Mathematics and Statistics,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),School of Mathematics and Statistics,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.8956999778747559,"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":0.8956999778747559,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.01810000091791153,"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":0.012199999764561653,"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/closed-captioning","display_name":"Closed captioning","score":0.6947000026702881},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5572999715805054},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5408999919891357},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.448199987411499},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4359999895095825},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4154999852180481},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.373199999332428},{"id":"https://openalex.org/keywords/adaptive-learning","display_name":"Adaptive learning","score":0.37049999833106995}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7641000151634216},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.6947000026702881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.621399998664856},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5572999715805054},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5408999919891357},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4494999945163727},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.448199987411499},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4359999895095825},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4154999852180481},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.373199999332428},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.37049999833106995},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3702999949455261},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3488999903202057},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.3441999852657318},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3264000117778778},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3183000087738037},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.3131999969482422},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.28519999980926514},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.271699994802475},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C78780964","wikidata":"https://www.wikidata.org/wiki/Q7233193","display_name":"Position paper","level":2,"score":0.2513999938964844},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.25049999356269836},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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":27,"referenced_works":["https://openalex.org/W1956340063","https://openalex.org/W1964069486","https://openalex.org/W2110866322","https://openalex.org/W2194775991","https://openalex.org/W2506483933","https://openalex.org/W2752782242","https://openalex.org/W2905544595","https://openalex.org/W2949554687","https://openalex.org/W2964196083","https://openalex.org/W2988981892","https://openalex.org/W3023395698","https://openalex.org/W3047153790","https://openalex.org/W3094171276","https://openalex.org/W3108170342","https://openalex.org/W3140300848","https://openalex.org/W3159583533","https://openalex.org/W3175933895","https://openalex.org/W3176470992","https://openalex.org/W3203526456","https://openalex.org/W4205844428","https://openalex.org/W4206621053","https://openalex.org/W4220863475","https://openalex.org/W4225739172","https://openalex.org/W4362013208","https://openalex.org/W4366996284","https://openalex.org/W4382317739","https://openalex.org/W4402961822"],"related_works":[],"abstract_inverted_index":{"Change":[0],"captioning":[1],"aims":[2],"to":[3,72,86,106,110,123,130],"describe":[4],"the":[5,37,44,69,140],"change":[6,27,70,152],"between":[7,61],"a":[8,29,89,118,146],"pair":[9],"of":[10,41,92],"similar":[11],"images":[12],"in":[13,36],"natural":[14],"language,":[15],"which":[16,33,121],"combines":[17],"image":[18],"understanding":[19],"and":[20,39,63,66,95,125],"language":[21],"generation.":[22],"In":[23,47],"this":[24,48,101],"process,":[25],"viewpoint":[26],"is":[28],"classic":[30],"interfering":[31],"factor,":[32],"causes":[34],"pseudo-changes":[35],"position":[38],"appearance":[40],"objects,":[42],"obscuring":[43],"real":[45,62],"changes.":[46],"paper,":[49],"we":[50,78,103,116],"propose":[51],"an":[52,74,81],"adaptive":[53,82],"equilibrium":[54],"awareness":[55],"learning":[56],"network":[57],"that":[58,139],"can":[59],"distinguish":[60,124],"pseudo":[64],"changes":[65],"effectively":[67],"capture":[68],"features":[71,129],"generate":[73,131],"accurate":[75,132],"description.":[76],"Specifically,":[77],"first":[79],"design":[80],"feature":[83],"association":[84],"module":[85],"gradually":[87],"integrate":[88],"wide":[90],"range":[91],"contextual":[93],"information":[94],"establish":[96],"relevance":[97],"through":[98],"iterations.":[99],"On":[100],"basis,":[102],"use":[104],"cross-attention":[105],"extract":[107],"common":[108],"attributes":[109],"learn":[111],"effective":[112],"comparison":[113],"information.":[114,134],"Finally,":[115],"introduce":[117],"variation":[119],"recognizer,":[120],"helps":[122],"locate":[126],"complex":[127],"difference":[128],"subtitling":[133],"Extensive":[135],"experimental":[136],"results":[137],"show":[138],"method":[141],"achieves":[142],"state-of-the-art":[143],"performance":[144],"on":[145],"public":[147],"dataset":[148],"with":[149],"two":[150],"different":[151],"scenarios.":[153]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-14T00:00:00"}
