{"id":"https://openalex.org/W4404520795","doi":"https://doi.org/10.1109/tgrs.2024.3496898","title":"Transcending Fusion: A Multiscale Alignment Method for Remote Sensing Image\u2013Text Retrieval","display_name":"Transcending Fusion: A Multiscale Alignment Method for Remote Sensing Image\u2013Text Retrieval","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4404520795","doi":"https://doi.org/10.1109/tgrs.2024.3496898"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3496898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3496898","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":"Rui Yang","orcid":"https://orcid.org/0000-0002-3209-0456"},"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":"Rui Yang","raw_affiliation_strings":["School of Artificial Intelligence and the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-3209-0456","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065660222","display_name":"Shuang Wang","orcid":"https://orcid.org/0000-0003-4940-1211"},"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":"Shuang Wang","raw_affiliation_strings":["School of Artificial Intelligence and the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-4940-1211","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110979085","display_name":"Yingping Han","orcid":null},"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":"Yingping Han","raw_affiliation_strings":["School of Artificial Intelligence and the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047338153","display_name":"Yuanheng Li","orcid":"https://orcid.org/0000-0001-5240-1146"},"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":"Yuanheng Li","raw_affiliation_strings":["School of Artificial Intelligence and the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066336309","display_name":"Dong Zhao","orcid":null},"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":"Dong Zhao","raw_affiliation_strings":["School of Artificial Intelligence and the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-9880-8822","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085893076","display_name":"Dou Quan","orcid":"https://orcid.org/0000-0001-6943-4657"},"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":"Dou Quan","raw_affiliation_strings":["School of Artificial Intelligence and the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-6943-4657","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040240404","display_name":"Yanhe Guo","orcid":"https://orcid.org/0009-0003-6144-5070"},"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":"Yanhe Guo","raw_affiliation_strings":["School of Artificial Intelligence and the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi&#x2019;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":["School of Artificial Intelligence and the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-3354-9617","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014484076","display_name":"Zhi Yang","orcid":"https://orcid.org/0000-0001-9440-7896"},"institutions":[{"id":"https://openalex.org/I4210100278","display_name":"Beijing Satellite Navigation Center","ror":"https://ror.org/0188rvx33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210100278"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Yang","raw_affiliation_strings":["DFH satellite Co., Ltd., CAST, Beijing, China","DFH Satellite Co., Ltd, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DFH satellite Co., Ltd., CAST, Beijing, China","institution_ids":["https://openalex.org/I4210100278"]},{"raw_affiliation_string":"DFH Satellite Co., Ltd, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2495,"currency":"USD","value_usd":2495},"apc_paid":null,"fwci":4.1181,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.95592303,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9783999919891357,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9783999919891357,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9577000141143799,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9437999725341797,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"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/computer-science","display_name":"Computer science","score":0.7440086007118225},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5969123244285583},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5527842044830322},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5511729121208191},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5416167378425598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5065997838973999},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5002946853637695},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4347270429134369},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.42863529920578003},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39783331751823425},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3687896728515625},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1602066159248352}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7440086007118225},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5969123244285583},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5527842044830322},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5511729121208191},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5416167378425598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5065997838973999},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5002946853637695},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4347270429134369},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.42863529920578003},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39783331751823425},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3687896728515625},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1602066159248352},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3496898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3496898","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":[],"awards":[{"id":"https://openalex.org/G1836536549","display_name":null,"funder_award_id":"62271377","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3528495689","display_name":null,"funder_award_id":"2021ZD0110404","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G439018681","display_name":null,"funder_award_id":"62171347","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5828947128","display_name":null,"funder_award_id":"2021ZD0110400","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G631455688","display_name":null,"funder_award_id":"2022M722496","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6983301035","display_name":null,"funder_award_id":"62201407","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1849277567","https://openalex.org/W1905882502","https://openalex.org/W2194775991","https://openalex.org/W2510520237","https://openalex.org/W2752782242","https://openalex.org/W2779054585","https://openalex.org/W2946802127","https://openalex.org/W2962964995","https://openalex.org/W2964120214","https://openalex.org/W2965373594","https://openalex.org/W2967957126","https://openalex.org/W2981448908","https://openalex.org/W2988823324","https://openalex.org/W2994818707","https://openalex.org/W3004492228","https://openalex.org/W3035454331","https://openalex.org/W3090449556","https://openalex.org/W3091588028","https://openalex.org/W3092820619","https://openalex.org/W3094502228","https://openalex.org/W3113299742","https://openalex.org/W3138516171","https://openalex.org/W3140792177","https://openalex.org/W3165084071","https://openalex.org/W3168433561","https://openalex.org/W3208803664","https://openalex.org/W4224911357","https://openalex.org/W4288391342","https://openalex.org/W4289538158","https://openalex.org/W4296501431","https://openalex.org/W4308743547","https://openalex.org/W4311002506","https://openalex.org/W4312219282","https://openalex.org/W4312272363","https://openalex.org/W4312554651","https://openalex.org/W4313117039","https://openalex.org/W4313121711","https://openalex.org/W4319459168","https://openalex.org/W4323896985","https://openalex.org/W4323897048","https://openalex.org/W4378696930","https://openalex.org/W4379795525","https://openalex.org/W4379806246","https://openalex.org/W4383113434","https://openalex.org/W4384159545","https://openalex.org/W4385245566","https://openalex.org/W4385757679","https://openalex.org/W4386212341","https://openalex.org/W4386952228","https://openalex.org/W4387617598","https://openalex.org/W4387969154","https://openalex.org/W4387969378","https://openalex.org/W4388624611","https://openalex.org/W4388740367","https://openalex.org/W4389474309","https://openalex.org/W4390754261","https://openalex.org/W4392061609","https://openalex.org/W6747225742","https://openalex.org/W6755207826","https://openalex.org/W6766904570","https://openalex.org/W6775188310","https://openalex.org/W6789753369","https://openalex.org/W6791353385","https://openalex.org/W6803872405"],"related_works":["https://openalex.org/W2386346147","https://openalex.org/W2014452451","https://openalex.org/W3037497593","https://openalex.org/W2016474688","https://openalex.org/W2118640186","https://openalex.org/W2087793626","https://openalex.org/W2373946551","https://openalex.org/W2032636564","https://openalex.org/W2350275110","https://openalex.org/W2381578981"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,16],"image-text":[2,56],"retrieval":[3],"(RSITR)":[4],"is":[5],"pivotal":[6],"for":[7,72,189],"knowledge":[8],"services":[9],"and":[10,26,37,107,139,178],"data":[11],"mining":[12],"in":[13,23],"the":[14,20,31,151,155],"remote":[15],"(RS)":[17],"domain.":[18],"Considering":[19],"multiscale":[21,41,46,79,95,126],"representations":[22,36,70],"image":[24,48,105],"content":[25],"text":[27,51,109],"vocabulary":[28],"can":[29],"enable":[30],"models":[32],"to":[33,67,83,115,158],"learn":[34,68],"richer":[35],"enhance":[38],"retrieval.":[39,74],"Current":[40],"RSITR":[42],"approaches":[43],"typically":[44],"align":[45],"fused":[47],"features":[49,52,106],"with":[50,174],"but":[53],"overlook":[54],"aligning":[55],"pairs":[57],"at":[58,161],"distinct":[59],"scales":[60],"separately.":[61],"This":[62],"oversight":[63],"restricts":[64],"their":[65],"ability":[66],"joint":[69],"suitable":[71],"effective":[73],"We":[75,164],"introduce":[76],"a":[77,94,117,122,125,141],"novel":[78],"alignment":[80,97,129,136,160],"(MSA)":[81],"method":[82,88,167],"overcome":[84],"this":[85],"limitation.":[86],"Our":[87],"comprises":[89],"three":[90],"key":[91],"innovations:":[92],"1)":[93],"cross-modal":[96,127],"transformer":[98],"(MSCMAT),":[99],"which":[100],"computes":[101],"cross-attention":[102],"between":[103],"single-scale":[104],"localized":[108],"features,":[110],"integrating":[111],"global":[112],"textual":[113],"context":[114],"derive":[116],"matching":[118,152],"score":[119],"matrix":[120,153],"within":[121],"mini-batch;":[123],"2)":[124],"semantic":[128,135,144],"loss":[130,146],"(MSCMA":[131],"loss)":[132,148],"that":[133,149],"enforces":[134],"across":[137,168],"scales;":[138],"3)":[140],"cross-scale":[142],"multimodal":[143],"consistency":[145],"(CSMMC":[147],"uses":[150],"from":[154],"largest":[156],"scale":[157],"guide":[159],"smaller":[162],"scales.":[163],"evaluated":[165],"our":[166,190],"multiple":[169],"datasets,":[170],"demonstrating":[171],"its":[172,180],"efficacy":[173],"various":[175],"visual":[176],"backbones":[177],"establishing":[179],"superiority":[181],"over":[182],"existing":[183],"state-of-the-art":[184],"methods.":[185],"The":[186],"GitHub":[187],"URL":[188],"project":[191],"ishttps://github.com/yr666666/MSA.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":6}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
