{"id":"https://openalex.org/W7092294067","doi":"https://doi.org/10.1109/tgrs.2025.3622599","title":"Counting Beyond Domains: Toward Alignment in Unsupervised Domain Adaptation in Remote Sensing Object Counting","display_name":"Counting Beyond Domains: Toward Alignment in Unsupervised Domain Adaptation in Remote Sensing Object Counting","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7092294067","doi":"https://doi.org/10.1109/tgrs.2025.3622599"},"language":null,"primary_location":{"id":"doi:10.1109/tgrs.2025.3622599","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3622599","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","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":null,"display_name":"Jiayi Wang","orcid":"https://orcid.org/0009-0005-5420-6308"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Wang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0005-5420-6308","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Guanchen Ding","orcid":"https://orcid.org/0000-0002-9523-1850"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Guanchen Ding","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-9523-1850","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Daiqin Yang","orcid":"https://orcid.org/0000-0002-3983-6142"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daiqin Yang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-3983-6142","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhenzhong Chen","orcid":"https://orcid.org/0000-0002-7882-1066"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhong Chen","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-7882-1066","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":null,"display_name":"Chang Wen Chen","orcid":"https://orcid.org/0000-0002-6720-234X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chang Wen Chen","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-6720-234X","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69861348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.4075999855995178,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.4075999855995178,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.34130001068115234,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.027699999511241913,"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/normalization","display_name":"Normalization (sociology)","score":0.61080002784729},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.6032000184059143},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5845999717712402},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4885999858379364},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4544000029563904},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.40959998965263367},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4083999991416931},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4041999876499176}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8314999938011169},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.61080002784729},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6032000184059143},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5845999717712402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5569999814033508},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.49549999833106995},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4885999858379364},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4544000029563904},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.40959998965263367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4083999991416931},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4041999876499176},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4016999900341034},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3952000141143799},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.37610000371932983},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3749000132083893},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.36890000104904175},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.3366999924182892},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.326200008392334},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3249000012874603},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.25450000166893005},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3622599","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3622599","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.7109091281890869,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G4976747904","display_name":null,"funder_award_id":"6236005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5851286427","display_name":null,"funder_award_id":"42371348","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G879442631","display_name":null,"funder_award_id":"62036005","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1731081199","https://openalex.org/W1976959044","https://openalex.org/W1978232622","https://openalex.org/W2122243179","https://openalex.org/W2171196813","https://openalex.org/W2238499080","https://openalex.org/W2321408197","https://openalex.org/W2463631526","https://openalex.org/W2559091987","https://openalex.org/W2560167313","https://openalex.org/W2603777577","https://openalex.org/W2895051362","https://openalex.org/W2962720716","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2962832028","https://openalex.org/W2962921175","https://openalex.org/W2963499661","https://openalex.org/W2963693541","https://openalex.org/W2964209782","https://openalex.org/W2964503501","https://openalex.org/W2966893608","https://openalex.org/W2967069910","https://openalex.org/W3004672782","https://openalex.org/W3014641072","https://openalex.org/W3045918052","https://openalex.org/W3082834645","https://openalex.org/W3093105758","https://openalex.org/W3116395294","https://openalex.org/W3159481202","https://openalex.org/W3201018943","https://openalex.org/W3206005599","https://openalex.org/W3207705058","https://openalex.org/W3209959707","https://openalex.org/W3210500011","https://openalex.org/W3213366174","https://openalex.org/W4285168151","https://openalex.org/W4294310792","https://openalex.org/W4296707116","https://openalex.org/W4304080673","https://openalex.org/W4312281830","https://openalex.org/W4320001214","https://openalex.org/W4382240725","https://openalex.org/W4385774762","https://openalex.org/W4386076274","https://openalex.org/W4386159797","https://openalex.org/W4387385691","https://openalex.org/W4390590910","https://openalex.org/W4391020313","https://openalex.org/W4391021462","https://openalex.org/W4391621800","https://openalex.org/W4394593118","https://openalex.org/W4394938913","https://openalex.org/W4402436786","https://openalex.org/W4402702977","https://openalex.org/W4402780099","https://openalex.org/W4402915904","https://openalex.org/W4402917117","https://openalex.org/W4403780852","https://openalex.org/W4404914354","https://openalex.org/W4407056550","https://openalex.org/W4407187033","https://openalex.org/W4412446121"],"related_works":[],"abstract_inverted_index":{"The":[0],"variability":[1],"in":[2,62],"altitudes,":[3],"geographical":[4],"background,":[5],"and":[6,37,58,77,92,99,143,152],"weather":[7],"conditions":[8],"across":[9,132,172],"datasets":[10,133],"degrades":[11],"deep":[12],"neural":[13],"network":[14],"(DNN)":[15],"object":[16],"counting":[17],"performance.":[18],"Unsupervised":[19],"domain":[20,30,56,66],"adaptation":[21],"(UDA)":[22],"is":[23,69,176],"an":[24,50,121],"effective":[25],"solution":[26],"to":[27,90,112,127,150],"bridge":[28],"the":[29,163],"gap,":[31],"but":[32],"still":[33],"suffers":[34],"from":[35],"insufficient":[36],"inaccurate":[38],"alignment.":[39],"To":[40],"address":[41],"this":[42],"issue,":[43],"we":[44,81],"propose":[45],"Counting":[46],"Beyond":[47],"Domains":[48],"(CBD),":[49],"alignment":[51],"framework":[52,145],"that":[53,146],"comprehensively":[54],"narrows":[55],"gaps":[57],"effectively":[59],"suppresses":[60],"noise":[61],"pseudo-labels":[63,115],"for":[64],"unsupervised":[65],"adaptation.":[67],"It":[68],"achieved":[70],"by":[71],"taking":[72],"three":[73],"key":[74],"factors\u2014scale,":[75],"semantics,":[76],"style\u2014into":[78],"consideration.":[79],"Specifically,":[80],"introduce:":[82],"1)":[83],"a":[84,106,117,141],"Text-Guided":[85],"Scale":[86],"Alignment":[87,109,124],"(TGSA)":[88],"module":[89,111,126],"perceive":[91],"align":[93],"scales":[94],"of":[95,165],"objects":[96],"between":[97],"source":[98],"target":[100],"domains":[101],"with":[102,116],"pre-trained":[103],"models;":[104],"2)":[105],"Robust":[107],"Semantic":[108],"(RSA)":[110],"select":[113],"high-quality":[114],"coarse-to-fine":[118],"strategy;":[119],"3)":[120],"AdaIN-based":[122],"Style":[123],"(ASA)":[125],"further":[128],"narrow":[129],"style":[130,153],"variations":[131,154],"using":[134],"Adaptive":[135],"Instance":[136],"Normalization":[137],"(AdaIN).":[138],"CBD":[139],"provides":[140],"comprehensive":[142],"robust":[144],"overcomes":[147],"misalignments":[148],"due":[149],"scale":[151],"as":[155,157],"well":[156],"pseudo-label":[158],"noise.":[159],"Comprehensive":[160],"experiments":[161],"validate":[162],"effectiveness":[164],"our":[166],"approach,":[167],"demonstrating":[168],"its":[169],"strong":[170],"adaptability":[171],"various":[173],"datasets.":[174],"Code":[175],"available":[177],"at:":[178],"https://github.com/jwang-rs/CBD-pytorch.":[179]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-18T00:00:00"}