{"id":"https://openalex.org/W7136246233","doi":"https://doi.org/10.48550/arxiv.2603.12832","title":"Hierarchical Dual-Change Collaborative Learning for UAV Scene Change Captioning","display_name":"Hierarchical Dual-Change Collaborative Learning for UAV Scene Change Captioning","publication_year":2026,"publication_date":"2026-03-13","ids":{"openalex":"https://openalex.org/W7136246233","doi":"https://doi.org/10.48550/arxiv.2603.12832"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.12832","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12832","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.12832","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129612729","display_name":"Fuhai Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Fuhai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129527241","display_name":"Pengpeng Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Pengpeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046705673","display_name":"Junwen Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Junwen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108940533","display_name":"Hehong Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Hehong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085467257","display_name":"Shiping Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Shiping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129572694","display_name":"Xiaoguang Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Xiaoguang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129473444","display_name":"Xuri Ge","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ge, Xuri","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"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":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":0.963100016117096,"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":0.963100016117096,"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":0.010200000368058681,"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":0.003700000001117587,"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":0.8956999778747559},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5066999793052673},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.48489999771118164},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4650000035762787},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.43059998750686646},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.41339999437332153},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.38359999656677246},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.38269999623298645}],"concepts":[{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.8956999778747559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8147000074386597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6625999808311462},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5196999907493591},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5066999793052673},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.48489999771118164},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4650000035762787},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.43059998750686646},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.41339999437332153},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.38359999656677246},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.38269999623298645},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.36640000343322754},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3472000062465668},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.31619998812675476},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C197654239","wikidata":"https://www.wikidata.org/wiki/Q7430757","display_name":"Scene statistics","level":3,"score":0.28119999170303345},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.26330000162124634},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2583000063896179}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.12832","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12832","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.12832","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12832","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,33,49,74,120,134,178,209],"novel":[4,135],"task":[5],"for":[6,127,216],"UAV":[7,11,55,87,128,217],"scene":[8,56,69,84,95,129,218],"understanding":[9,82],"-":[10,16],"Scene":[12],"Change":[13],"Captioning":[14],"(UAV-SCC)":[15],"which":[17],"aims":[18],"to":[19,98,145,186,191],"generate":[20],"natural":[21],"language":[22],"descriptions":[23],"of":[24,151,244],"semantic":[25],"changes":[26,85],"in":[27,81],"dynamic":[28],"aerial":[29],"imagery":[30],"captured":[31,47,72],"from":[32,48,64,86,160],"movable":[34],"viewpoint.":[35],"Unlike":[36],"traditional":[37],"change":[38,57,130,198,219],"captioning":[39,58],"that":[40,90,224],"mainly":[41],"describes":[42],"differences":[43,62],"between":[44,111],"image":[45,88,153],"pairs":[46,89],"fixed":[50],"camera":[51,103],"viewpoint":[52,99,192],"over":[53],"time,":[54],"focuses":[59],"on":[60,204,231],"image-pair":[61],"resulting":[63],"both":[65],"temporal":[66],"and":[67,163,171,236],"spatial":[68,149],"variations":[70],"dynamically":[71],"by":[73,102],"moving":[75],"camera.":[76],"The":[77,234],"key":[78],"challenge":[79],"lies":[80],"viewpoint-induced":[83],"share":[91],"only":[92],"partially":[93],"overlapping":[94,162],"content":[96],"due":[97],"shifts":[100],"caused":[101],"rotation,":[104],"while":[105],"effectively":[106],"exploiting":[107],"the":[108,112,152,156,161,169,188,225],"relative":[109],"orientation":[110],"two":[113],"images.":[114],"To":[115,200],"this":[116,205,232,245],"end,":[117],"we":[118,176,207],"propose":[119,177],"Hierarchical":[121,179],"Dual-Change":[122],"Collaborative":[123],"Learning":[124],"(HDC-CL)":[125],"method":[126,185,227],"captioning.":[131,199,220],"In":[132],"particular,":[133],"transformer,":[136],"\\emph{i.e.}":[137],"Dynamic":[138],"Adaptive":[139],"Layout":[140],"Transformer":[141],"(DALT)":[142],"is":[143],"designed":[144],"adaptively":[146],"model":[147],"diverse":[148],"layouts":[150],"pair,":[154],"where":[155],"interrelated":[157],"features":[158],"derived":[159],"non-overlapping":[164],"regions":[165],"are":[166],"learned":[167],"within":[168],"flexible":[170],"unified":[172],"encoding":[173],"layer.":[174],"Furthermore,":[175],"Cross-modal":[180],"Orientation":[181],"Consistency":[182],"Calibration":[183],"(HCM-OCC)":[184],"enhance":[187],"model's":[189],"sensitivity":[190],"shift":[193],"directions,":[194],"enabling":[195],"more":[196],"accurate":[197],"facilitate":[201],"in-depth":[202],"research":[203],"task,":[206],"construct":[208],"new":[210],"benchmark":[211],"dataset,":[212,215],"named":[213],"UAV-SCC":[214],"Extensive":[221],"experiments":[222],"demonstrate":[223],"proposed":[226],"achieves":[228],"state-of-the-art":[229],"performance":[230],"task.":[233],"dataset":[235],"code":[237],"will":[238],"be":[239],"publicly":[240],"released":[241],"upon":[242],"acceptance":[243],"paper.":[246]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-17T00:00:00"}
