{"id":"https://openalex.org/W4387802596","doi":"https://doi.org/10.1109/igarss52108.2023.10281473","title":"A Strong Vision Transformer Adapter with Adaptive Thresholding for fine-Grained Building Classification","display_name":"A Strong Vision Transformer Adapter with Adaptive Thresholding for fine-Grained Building Classification","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387802596","doi":"https://doi.org/10.1109/igarss52108.2023.10281473"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10281473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10281473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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":"https://openalex.org/A5051108735","display_name":"Xiaoqiang Lu","orcid":"https://orcid.org/0000-0003-0338-7645"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoqiang Lu","raw_affiliation_strings":["Xidian University,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence,Xi’an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Xidian University,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence,Xi’an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336301","display_name":"Qiong Liu","orcid":"https://orcid.org/0000-0002-2407-806X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Liu","raw_affiliation_strings":["Xidian University,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence,Xi’an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443350","display_name":"Lingling Li","orcid":"https://orcid.org/0000-0002-6130-2518"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingling Li","raw_affiliation_strings":["Xidian University,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence,Xi’an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453033","display_name":"Fang Liu","orcid":"https://orcid.org/0000-0001-9752-9530"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Liu","raw_affiliation_strings":["Xidian University,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence,Xi’an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331710","display_name":"Xu Liu","orcid":"https://orcid.org/0000-0002-8780-5455"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Liu","raw_affiliation_strings":["Xidian University,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence,Xi’an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065661879","display_name":"Yuting Yang","orcid":"https://orcid.org/0000-0002-6720-4134"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuting Yang","raw_affiliation_strings":["Xidian University,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence,Xi’an,China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5051108735"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.9737,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79196019,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"674","last_page":"677"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9940999746322632,"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":0.9940999746322632,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9929999709129333,"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/computer-science","display_name":"Computer science","score":0.7433490753173828},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6405501961708069},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5123807191848755},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4803644120693207},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.45224297046661377},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.44388195872306824},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43770545721054077},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42800062894821167},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4163784980773926},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.386817991733551},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38589662313461304}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7433490753173828},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6405501961708069},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5123807191848755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4803644120693207},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.45224297046661377},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.44388195872306824},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43770545721054077},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42800062894821167},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4163784980773926},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.386817991733551},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38589662313461304},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10281473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10281473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8500000238418579,"display_name":"Sustainable cities and communities"}],"awards":[],"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":8,"referenced_works":["https://openalex.org/W2963849369","https://openalex.org/W3163631062","https://openalex.org/W4292793893","https://openalex.org/W4309655118","https://openalex.org/W4312325112","https://openalex.org/W4312471172","https://openalex.org/W4362465310","https://openalex.org/W4367721790"],"related_works":["https://openalex.org/W2953058328","https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2116854923","https://openalex.org/W2750730210","https://openalex.org/W2236974868","https://openalex.org/W4312766348","https://openalex.org/W4233939244","https://openalex.org/W2730764323","https://openalex.org/W3123806511"],"abstract_inverted_index":{"Fine-grained":[0],"building":[1,34,71,99],"classification":[2,32],"provides":[3],"a":[4,25,62,82,104,109],"solid":[5],"basis":[6],"for":[7,30],"the":[8,14,22,31,38,52,55,69,75,135,138,143,151,155],"comparison":[9],"of":[10,16,33,40,54,77,137,145,154],"city":[11],"morphologies":[12],"and":[13,27,47,80,93,108,128],"investigation":[15],"urban":[17],"planning.":[18],"To":[19],"this":[20,58],"aim,":[21],"DFC23":[23],"establishes":[24],"large-scale":[26],"multi-modal":[28],"benchmark":[29],"roof":[35],"types.":[36],"However,":[37],"problems":[39],"long-tailed":[41],"distribution,":[42],"data":[43],"insufficient,":[44],"inter-class":[45],"similarity,":[46],"intra-class":[48,129],"difference":[49],"severely":[50],"inhibit":[51],"performance":[53],"detector.":[56],"In":[57],"work,":[59],"we":[60,102,116],"build":[61],"strong":[63],"vision":[64],"transformer":[65],"adapter":[66],"fine-tuned":[67],"on":[68],"cropped":[70],"instances":[72],"to":[73,87,98,133],"enhance":[74],"capacity":[76],"feature":[78],"extraction":[79],"design":[81],"cross-modal":[83],"fusion":[84],"(CMF)":[85],"module":[86],"effectively":[88],"aggregate":[89],"features":[90],"from":[91],"RGB":[92],"SAR":[94],"data.":[95],"When":[96],"transferring":[97],"instance":[100],"segmentation,":[101],"construct":[103],"robust":[105],"training":[106],"pipeline":[107],"two-stage":[110],"test-time":[111],"results":[112,141],"ensemble":[113],"scheme.":[114],"Furthermore,":[115],"introduce":[117],"self-training":[118],"with":[119],"two":[120],"key":[121],"denoising":[122],"techniques,":[123],"global":[124],"average":[125],"filtering":[126],"(GAF)":[127],"adaptive":[130],"thresholding":[131],"(IAT),":[132],"boost":[134],"generalization":[136],"model.":[139],"Experimental":[140],"show":[142],"effectiveness":[144],"our":[146],"method,":[147],"ranking":[148],"2nd":[149],"in":[150],"test":[152],"phase":[153],"contest.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}