{"id":"https://openalex.org/W4414856600","doi":"https://doi.org/10.1109/jstars.2025.3617915","title":"OSClip: Domain-Adaptive Prompt Tuning of Vision-Language Models for Open-Set Remote Sensing Image Classification","display_name":"OSClip: Domain-Adaptive Prompt Tuning of Vision-Language Models for Open-Set Remote Sensing Image Classification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414856600","doi":"https://doi.org/10.1109/jstars.2025.3617915"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3617915","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3617915","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2025.3617915","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017153530","display_name":"Dan Peng","orcid":"https://orcid.org/0000-0002-6377-6274"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dingkang Peng","raw_affiliation_strings":["School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412323","display_name":"Xiaokang Zhang","orcid":"https://orcid.org/0000-0002-6127-4801"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokang Zhang","raw_affiliation_strings":["School of Artificial Intelligence, Wuhan University, Wuhan, China","School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114241985","display_name":"Wanjing Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanjing Wu","raw_affiliation_strings":["School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055382963","display_name":"Xianping Ma","orcid":"https://orcid.org/0000-0002-2180-2964"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianping Ma","raw_affiliation_strings":["Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, China","School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101879009","display_name":"Weikang Yu","orcid":"https://orcid.org/0000-0003-1111-572X"},"institutions":[{"id":"https://openalex.org/I2801798921","display_name":"Helmholtz-Zentrum Dresden-Rossendorf","ror":"https://ror.org/01zy2cs03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Weikang Yu","raw_affiliation_strings":["Helmholtz-Zentrum Dresden-Rossendorf, Freiberg, Germany","Chair of Data Science in Earth Observation, Technical University of Munich (TUM), Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Helmholtz-Zentrum Dresden-Rossendorf, Freiberg, Germany","institution_ids":["https://openalex.org/I2801798921"]},{"raw_affiliation_string":"Chair of Data Science in Earth Observation, Technical University of Munich (TUM), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017153530"],"corresponding_institution_ids":["https://openalex.org/I43922553"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":3.2586,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.93228832,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"18","issue":null,"first_page":"25863","last_page":"25875"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9491000175476074,"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":0.9491000175476074,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6942999958992004},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6748999953269958},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5698000192642212},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5070000290870667},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4717999994754791},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.45669999718666077},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4375999867916107},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4068000018596649},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4009999930858612},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3815999925136566}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8543000221252441},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6942999958992004},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6748999953269958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5712000131607056},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5698000192642212},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5070000290870667},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4717999994754791},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.45669999718666077},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4375999867916107},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4068000018596649},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4009999930858612},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3815999925136566},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3747999966144562},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3709999918937683},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.366100013256073},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.35249999165534973},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.3456000089645386},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.34040001034736633},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3393999934196472},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31529998779296875},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3122999966144562},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2957000136375427},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.28610000014305115},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2809999883174896},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2800000011920929},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2791000008583069},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.26510000228881836},{"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/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2515000104904175},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.25060001015663147}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3617915","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3617915","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:06a1f9651d704818a5707448b0dfe72f","is_oa":true,"landing_page_url":"https://doaj.org/article/06a1f9651d704818a5707448b0dfe72f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 25863-25875 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3617915","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3617915","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4669320296","display_name":null,"funder_award_id":"42371374","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1980038761","https://openalex.org/W2515866431","https://openalex.org/W2592962403","https://openalex.org/W2798593490","https://openalex.org/W2883589384","https://openalex.org/W2948429981","https://openalex.org/W3017075957","https://openalex.org/W3035512475","https://openalex.org/W3045918052","https://openalex.org/W3048265828","https://openalex.org/W3097526063","https://openalex.org/W3195858154","https://openalex.org/W3199617538","https://openalex.org/W3206953993","https://openalex.org/W4225630686","https://openalex.org/W4285257114","https://openalex.org/W4312310776","https://openalex.org/W4312954132","https://openalex.org/W4313063910","https://openalex.org/W4313270784","https://openalex.org/W4313598792","https://openalex.org/W4318681845","https://openalex.org/W4319865627","https://openalex.org/W4360770903","https://openalex.org/W4385695918","https://openalex.org/W4386113272","https://openalex.org/W4386523254","https://openalex.org/W4387402974","https://openalex.org/W4388937292","https://openalex.org/W4390533997","https://openalex.org/W4390781335","https://openalex.org/W4390873546","https://openalex.org/W4391270902","https://openalex.org/W4391305834","https://openalex.org/W4392523428","https://openalex.org/W4392558991","https://openalex.org/W4393159564","https://openalex.org/W4393305465","https://openalex.org/W4394938913","https://openalex.org/W4400229049","https://openalex.org/W4401357993","https://openalex.org/W4403012122","https://openalex.org/W4403210463","https://openalex.org/W4403534981","https://openalex.org/W4403730139","https://openalex.org/W4408323584","https://openalex.org/W4408914231","https://openalex.org/W4409225827","https://openalex.org/W4411948851"],"related_works":[],"abstract_inverted_index":{"Remote":[0],"sensing":[1,188],"image":[2,17],"classification":[3],"models":[4,43],"face":[5],"significant":[6],"challenges":[7],"when":[8,50],"adapting":[9],"to":[10,14,104,138,178],"new":[11],"domains":[12,108,151],"due":[13],"variations":[15],"in":[16,200,218],"acquisition":[18],"conditions,":[19],"sensor":[20],"types,":[21],"and":[22,38,96,128,203,222],"scene":[23],"categories.":[24],"Conventional":[25],"domain":[26,64],"adaptation":[27,32,65,103,147,160,208],"methods":[28],"rely":[29],"on":[30,68,172,185],"multistage":[31],"pipelines":[33],"with":[34],"limited":[35,47],"semantic":[36,224],"understanding,":[37],"even":[39],"recently":[40],"developed":[41],"vision-language":[42],"(VLMs)":[44],"still":[45],"exhibit":[46],"discriminative":[48],"capability":[49],"encountering":[51],"unseen":[52],"images.":[53],"To":[54,145],"tackle":[55],"these":[56],"challenges,":[57],"we":[58],"propose":[59],"OSClip,":[60],"a":[61,116,134,158],"novel":[62],"open-set":[63,118],"framework":[66],"based":[67,171],"the":[69,76,94,163,173,214],"VLM":[70],"model,":[71],"CLIP.":[72],"Specifically,":[73],"OSClip":[74,156,192,217],"harnesses":[75],"powerful":[77],"generalization":[78],"capabilities":[79],"of":[80,175,216],"CLIP":[81],"by":[82,123,133],"employing":[83],"domain-adaptive":[84],"prompt":[85],"tuning,":[86],"which":[87],"inserts":[88],"lightweight,":[89],"learnable":[90],"prompts":[91,170],"into":[92],"both":[93],"vision":[95],"language":[97],"encoders.":[98],"This":[99],"design":[100],"enables":[101],"efficient":[102],"new,":[105],"unlabeled":[106],"target":[107,150],"while":[109,152],"retaining":[110],"knowledge":[111,181],"acquired":[112],"during":[113],"pretraining.":[114],"Furthermore,":[115],"robust":[117,220],"recognition":[119],"mechanism":[120],"is":[121],"incorporated":[122],"combining":[124],"confidence-weighted":[125],"pseudo-label":[126,140],"supervision":[127],"energy-based":[129],"regularization,":[130],"further":[131],"strengthened":[132],"teacher-student":[135],"self-distillation":[136],"scheme":[137],"enhance":[139],"reliability":[141],"under":[142],"unsupervised":[143],"conditions.":[144],"support":[146],"across":[148,206],"multiple":[149],"mitigating":[153],"catastrophic":[154],"forgetting,":[155],"adopts":[157],"continual":[159],"paradigm":[161],"for":[162],"blended":[164],"test":[165],"set.":[166],"It":[167],"dynamically":[168],"aggregates":[169],"distribution":[174],"domain-specific":[176],"features":[177],"ensure":[179],"stable":[180],"transfer.":[182],"Extensive":[183],"experiments":[184],"public":[186],"remote":[187],"datasets":[189],"demonstrate":[190],"that":[191],"consistently":[193],"outperforms":[194],"state-of-the-art":[195],"methods,":[196],"delivering":[197],"superior":[198],"accuracy":[199],"distinguishing":[201],"known":[202],"unknown":[204],"classes":[205],"various":[207],"scenarios.":[209],"The":[210,226],"results":[211],"also":[212],"confirm":[213],"effectiveness":[215],"achieving":[219],"crossmodal":[221],"cross-domain":[223],"alignment.":[225],"source":[227],"code":[228],"will":[229],"be":[230],"available":[231],"at":[232],"https://github.com/zxk688/OSClip":[233]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}