{"id":"https://openalex.org/W7154289516","doi":"https://doi.org/10.48550/arxiv.2604.11231","title":"Seg2Change: Adapting Open-Vocabulary Semantic Segmentation Model for Remote Sensing Change Detection","display_name":"Seg2Change: Adapting Open-Vocabulary Semantic Segmentation Model for Remote Sensing Change Detection","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7154289516","doi":"https://doi.org/10.48550/arxiv.2604.11231"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.11231","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.11231","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.2604.11231","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100952969","display_name":"You Su","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Su, You","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133572797","display_name":"Yonghong Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Yonghong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Chen, Jingqi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Jingqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133593154","display_name":"Zehan Wen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen, Zehan","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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9164000153541565,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9164000153541565,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.010499999858438969,"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"}},{"id":"https://openalex.org/T12090","display_name":"Language and cultural evolution","score":0.008799999952316284,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.883899986743927},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7070000171661377},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5979999899864197},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5322999954223633},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4821999967098236},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.42719998955726624}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.883899986743927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7807999849319458},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7070000171661377},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5979999899864197},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5322999954223633},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5045999884605408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5026999711990356},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4821999967098236},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.42719998955726624},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3874000012874603},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3589000105857849},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.33660000562667847},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3197000026702881},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30390000343322754},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28999999165534973},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2833999991416931},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.26109999418258667}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.11231","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.11231","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.2604.11231","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.11231","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Change":[0],"detection":[1,25,75,101,142],"is":[2,59,168],"a":[3,61,77,98,108],"fundamental":[4],"task":[5,79],"in":[6,32,39],"remote":[7,54],"sensing,":[8],"aiming":[9],"to":[10,29,72,85,112,122,134,140],"quantify":[11],"the":[12,114],"impacts":[13],"of":[14,63,116],"human":[15],"activities":[16],"and":[17,83,119,146,161],"ecological":[18],"dynamics":[19],"on":[20,126,159,164],"land-cover":[21],"changes.":[22],"Existing":[23],"change":[24,74,100,110,141],"methods":[26],"are":[27],"limited":[28],"predefined":[30],"classes":[31],"training":[33],"datasets,":[34],"which":[35],"constrains":[36],"their":[37],"scalability":[38],"real-world":[40],"scenarios.":[41],"In":[42],"recent":[43],"years,":[44],"numerous":[45],"advanced":[46],"open-vocabulary":[47,73,136],"semantic":[48,137],"segmentation":[49,138],"models":[50,71,139],"have":[51],"emerged":[52],"for":[53,67],"sensing":[55],"imagery.":[56],"However,":[57],"there":[58],"still":[60],"lack":[62],"an":[64,131],"effective":[65,151],"framework":[66,152],"directly":[68],"applying":[69],"these":[70,93],"(OVCD),":[76],"novel":[78],"that":[80],"integrates":[81],"vision":[82],"language":[84],"detect":[86,113],"changes":[87],"across":[88],"arbitrary":[89,117],"categories.":[90],"To":[91],"address":[92],"challenges,":[94],"we":[95,106,128],"first":[96],"construct":[97],"category-agnostic":[99,109],"dataset,":[102],"termed":[103],"CA-CDD.":[104],"Further,":[105],"design":[107],"head":[111],"transitions":[115],"categories":[118],"index":[120],"them":[121],"specific":[123],"classes.":[124],"Based":[125],"them,":[127],"propose":[129],"Seg2Change,":[130],"adapter":[132],"designed":[133],"adapt":[135],"task.":[143],"Without":[144],"bells":[145],"whistles,":[147],"this":[148],"simple":[149],"yet":[150],"achieves":[153],"state-of-the-art":[154],"OVCD":[155],"performance":[156],"(+9.52":[157],"IoU":[158],"WHU-CD":[160],"+5.50":[162],"mIoU":[163],"SECOND).":[165],"Our":[166],"code":[167],"released":[169],"at":[170],"https://github.com/yogurts-sy/Seg2Change.":[171]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-15T00:00:00"}