{"id":"https://openalex.org/W7161235221","doi":"https://doi.org/10.48550/arxiv.2605.15024","title":"HiSem: Hierarchical Semantic Disentangling for Remote Sensing Image Change Captioning","display_name":"HiSem: Hierarchical Semantic Disentangling for Remote Sensing Image Change Captioning","publication_year":2026,"publication_date":"2026-05-14","ids":{"openalex":"https://openalex.org/W7161235221","doi":"https://doi.org/10.48550/arxiv.2605.15024"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.15024","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15024","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.2605.15024","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136246247","display_name":"Man Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Man","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136210845","display_name":"Chenyang Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Chenyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136213974","display_name":"Wenjun Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Wenjun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071940538","display_name":"Feng Ni","orcid":"https://orcid.org/0009-0006-7308-9968"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ni, Feng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028310649","display_name":"Bing Jia","orcid":"https://orcid.org/0000-0003-3294-6303"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jia, Bing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062695688","display_name":"Baoqi Huang","orcid":"https://orcid.org/0000-0003-4027-1756"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Baoqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072179697","display_name":"Riting Xia","orcid":"https://orcid.org/0000-0003-2184-4360"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xia, Riting","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136213473","display_name":"Zhenwei Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Zhenwei","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":0.7159000039100647,"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":0.7159000039100647,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.061000000685453415,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.05249999836087227,"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":0.7057999968528748},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6583999991416931},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4821999967098236},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4503999948501587},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.44999998807907104},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.4104999899864197},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3955000042915344},{"id":"https://openalex.org/keywords/semantic-grid","display_name":"Semantic grid","score":0.3917999863624573}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8040000200271606},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.7057999968528748},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6583999991416931},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4821999967098236},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4503999948501587},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.44999998807907104},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.4104999899864197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4027999937534332},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3955000042915344},{"id":"https://openalex.org/C103692084","wikidata":"https://www.wikidata.org/wiki/Q1765824","display_name":"Semantic grid","level":3,"score":0.3917999863624573},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.37119999527931213},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.35760000348091125},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.3400999903678894},{"id":"https://openalex.org/C202708506","wikidata":"https://www.wikidata.org/wiki/Q7449050","display_name":"Semantic compression","level":5,"score":0.335099995136261},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.31139999628067017},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.30399999022483826},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C2778180026","wikidata":"https://www.wikidata.org/wiki/Q18378163","display_name":"Semantic heterogeneity","level":4,"score":0.27869999408721924},{"id":"https://openalex.org/C36391188","wikidata":"https://www.wikidata.org/wiki/Q1939117","display_name":"Semantic change","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2721000015735626},{"id":"https://openalex.org/C43020497","wikidata":"https://www.wikidata.org/wiki/Q1662954","display_name":"Semantic differential","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C85407183","wikidata":"https://www.wikidata.org/wiki/Q1045785","display_name":"Semantic network","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.15024","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15024","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.2605.15024","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15024","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4884008467197418}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Remote":[0],"sensing":[1],"image":[2,35,144],"change":[3,59,109,157],"captioning":[4],"(RSICC)":[5],"aims":[6],"to":[7,54,102],"achieve":[8],"high-level":[9],"semantic":[10,41,55,64,75,82,203],"understanding":[11],"of":[12,84,178,205],"genuine":[13],"changes":[14],"occurring":[15],"between":[16,57],"bi-temporal":[17,206],"images.":[18],"Despite":[19],"notable":[20],"progress,":[21],"existing":[22],"methods":[23],"are":[24,43],"fundamentally":[25],"limited":[26],"by":[27,195],"a":[28,46,72,120,135,147,175,190],"shared":[29],"modeling":[30,48,51],"assumption:":[31],"changed":[32,141,160],"and":[33,62,142,155],"unchanged":[34,143],"pairs,":[36,145],"which":[37],"have":[38],"intrinsically":[39],"different":[40,85],"granularities,":[42],"processed":[44],"under":[45],"unified":[47],"strategy.":[49],"This":[50],"inconsistency":[52],"leads":[53],"entanglement":[56],"coarse-grained":[58,136],"existence":[60],"judgment":[61],"fine-grained":[63,148],"understanding.To":[65],"address":[66],"the":[67,91,182,201],"above":[68],"limitation,":[69],"we":[70,88,118],"propose":[71],"novel":[73],"hierarchical":[74,133],"disentangling":[76],"network":[77],"(HiSem)":[78],"that":[79,98,127,169],"explicitly":[80,196],"disentangles":[81],"representations":[83],"granularities.":[86],"Specifically,":[87],"first":[89],"introduce":[90],"Bidirectional":[92],"Differential":[93],"Attention":[94],"Modulation":[95],"(BDAM)":[96],"module":[97,126],"leverages":[99],"discrepancy-aware":[100],"attention":[101],"enhance":[103],"cross-temporal":[104],"interactions,":[105],"thereby":[106],"amplifying":[107],"true":[108],"signals":[110],"while":[111,146],"suppressing":[112],"irrelevant":[113],"variations.":[114],"Building":[115],"upon":[116],"this,":[117],"design":[119,199],"Hierarchical":[121],"Adaptive":[122],"Semantic":[123],"Disentanglement":[124],"(HASD)":[125],"performs":[128],"adaptive":[129],"routing":[130,138],"at":[131,213],"two":[132,165],"levels:":[134],"image-level":[137],"mechanism":[139],"distinguishes":[140],"token-level":[149],"Mixture-of-Experts":[150],"(MoE)":[151],"block":[152],"models":[153],"diverse":[154],"heterogeneous":[156],"semantics":[158],"for":[159,193],"samples.":[161],"Extensive":[162],"experiments":[163],"on":[164,181],"benchmark":[166],"datasets":[167],"demonstrate":[168],"HiSem":[170],"outperfoms":[171],"previous":[172],"methods,":[173],"achieving":[174],"significant":[176],"improvement":[177],"+7.52\\%":[179],"BLEU-4":[180],"WHU-CDC":[183],"dataset.":[184],"More":[185],"importantly,":[186],"our":[187],"approach":[188],"provides":[189],"structured":[191],"perspective":[192],"RSICC":[194],"aligning":[197],"model":[198],"with":[200],"intrinsic":[202],"heterogeneity":[204],"scenes.":[207],"The":[208],"code":[209],"will":[210],"be":[211],"available":[212],"https://github.com/Man-Wang-star/HiSem":[214]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-16T00:00:00"}
