{"id":"https://openalex.org/W3189758472","doi":"https://doi.org/10.1109/tip.2021.3101414","title":"Multi-Relation Attention Network for Image Patch Matching","display_name":"Multi-Relation Attention Network for Image Patch Matching","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3189758472","doi":"https://doi.org/10.1109/tip.2021.3101414","mag":"3189758472","pmid":"https://pubmed.ncbi.nlm.nih.gov/34351861"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3101414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3101414","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/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":true,"raw_author_name":"Dou Quan","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an, China","Xidian University"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University","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, Xidian University, Xi\u2019an, China","Xidian University"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100692595","display_name":"Yi Li","orcid":"https://orcid.org/0000-0003-4226-6635"},"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":"Yi Li","raw_affiliation_strings":["School of Telecommunications, Xidian University, Xi\u2019an, China","Xidian University"],"affiliations":[{"raw_affiliation_string":"School of Telecommunications, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110808612","display_name":"Bowu Yang","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":"Bowu Yang","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an, China","Xidian University"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066376249","display_name":"Ning Huyan","orcid":"https://orcid.org/0000-0002-6123-8659"},"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":"Ning Huyan","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an, China","Xidian University"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]},{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["Grenoble Images Speech Signals and Automatics Laboratory, Grenoble Institute of Technology (Grenoble INP), Grenoble, France","Research Center of Inria Grenoble-Rh\u00f4ne-Alpes, Montbonnot-Saint-Martin, France","Apprentissage de mod\u00e8les \u00e0 partir de donn\u00e9es massives","GIPSA - Signal Images Physique"],"affiliations":[{"raw_affiliation_string":"Grenoble Images Speech Signals and Automatics Laboratory, Grenoble Institute of Technology (Grenoble INP), Grenoble, France","institution_ids":["https://openalex.org/I106785703"]},{"raw_affiliation_string":"Research Center of Inria Grenoble-Rh\u00f4ne-Alpes, Montbonnot-Saint-Martin, France","institution_ids":["https://openalex.org/I4210101348"]},{"raw_affiliation_string":"Apprentissage de mod\u00e8les \u00e0 partir de donn\u00e9es massives","institution_ids":[]},{"raw_affiliation_string":"GIPSA - Signal Images Physique","institution_ids":["https://openalex.org/I4210124956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043022387","display_name":"Biao Hou","orcid":"https://orcid.org/0000-0002-1996-186X"},"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":"Biao Hou","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an, China","Xidian University"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","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":"Licheng Jiao","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an, China","Xidian University"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5085893076"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":2.5192,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.91182095,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"30","issue":null,"first_page":"7127","last_page":"7142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.998199999332428,"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/matching","display_name":"Matching (statistics)","score":0.7306263446807861},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.7245319485664368},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7180923223495483},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6732757687568665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6518856883049011},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6224048733711243},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5999553799629211},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4882564842700958},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48065412044525146},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4405752718448639},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.43003910779953003},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42449724674224854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2555811405181885},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16188916563987732}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7306263446807861},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7245319485664368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7180923223495483},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6732757687568665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6518856883049011},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6224048733711243},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5999553799629211},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4882564842700958},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48065412044525146},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4405752718448639},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.43003910779953003},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42449724674224854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2555811405181885},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16188916563987732},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2021.3101414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3101414","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:34351861","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34351861","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:HAL:hal-03429620v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03429620","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Image Processing, 2021, 30, pp.7127-7142. &#x27E8;10.1109/TIP.2021.3101414&#x27E9;","raw_type":"Journal articles"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2095133317","display_name":null,"funder_award_id":"61671350","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G359258897","display_name":null,"funder_award_id":"61621005","funder_id":"https://openalex.org/F4320327720","funder_display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China"},{"id":"https://openalex.org/G570056697","display_name":null,"funder_award_id":"61771379","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/F4320327720","display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1869500417","https://openalex.org/W1929856797","https://openalex.org/W1955055330","https://openalex.org/W1979931042","https://openalex.org/W2007178811","https://openalex.org/W2012893378","https://openalex.org/W2089888558","https://openalex.org/W2100766099","https://openalex.org/W2119605622","https://openalex.org/W2128031471","https://openalex.org/W2128237624","https://openalex.org/W2145072179","https://openalex.org/W2151103935","https://openalex.org/W2160014001","https://openalex.org/W2163605009","https://openalex.org/W2212363941","https://openalex.org/W2293670510","https://openalex.org/W2294464339","https://openalex.org/W2302086703","https://openalex.org/W2468674378","https://openalex.org/W2560645892","https://openalex.org/W2575842049","https://openalex.org/W2596901677","https://openalex.org/W2612112834","https://openalex.org/W2613718673","https://openalex.org/W2737260104","https://openalex.org/W2752782242","https://openalex.org/W2781778455","https://openalex.org/W2798385569","https://openalex.org/W2801765193","https://openalex.org/W2802888975","https://openalex.org/W2804078698","https://openalex.org/W2866634454","https://openalex.org/W2884585870","https://openalex.org/W2886620625","https://openalex.org/W2944972389","https://openalex.org/W2948014307","https://openalex.org/W2950907316","https://openalex.org/W2955058313","https://openalex.org/W2962869940","https://openalex.org/W2962891704","https://openalex.org/W2962898354","https://openalex.org/W2962926870","https://openalex.org/W2963157250","https://openalex.org/W2963350250","https://openalex.org/W2963403868","https://openalex.org/W2963420686","https://openalex.org/W2963495494","https://openalex.org/W2963713828","https://openalex.org/W2963910742","https://openalex.org/W2964105113","https://openalex.org/W2973660294","https://openalex.org/W2981420411","https://openalex.org/W2981689412","https://openalex.org/W2984146633","https://openalex.org/W3008449400","https://openalex.org/W3040304705","https://openalex.org/W3043547428","https://openalex.org/W3093466063","https://openalex.org/W4385245566","https://openalex.org/W6620707391","https://openalex.org/W6640083356","https://openalex.org/W6679057852","https://openalex.org/W6679101185","https://openalex.org/W6681554747","https://openalex.org/W6684191040","https://openalex.org/W6696973050","https://openalex.org/W6739901393","https://openalex.org/W6752378368","https://openalex.org/W6753074096","https://openalex.org/W6763102107","https://openalex.org/W6763179268","https://openalex.org/W6766667439"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W1537496349","https://openalex.org/W4243305035","https://openalex.org/W2379407973","https://openalex.org/W2125195795"],"abstract_inverted_index":{"Deep":[0],"convolutional":[1],"neural":[2],"networks":[3],"attract":[4],"increasing":[5],"attention":[6,57,99],"in":[7],"image":[8,62,137,143,147],"patch":[9,63,138,144],"matching.":[10,64],"However,":[11],"most":[12],"of":[13,29],"them":[14],"rely":[15],"on":[16,91,135],"a":[17,55,97],"single":[18],"similarity":[19],"learning":[20,58,100],"model,":[21],"such":[22],"as":[23],"feature":[24,71,85,112],"distance":[25],"and":[26,87,116,131,146],"the":[27,38,80,104,117],"correlation":[28],"concatenated":[30],"features.":[31],"Their":[32],"performances":[33],"will":[34],"degenerate":[35],"due":[36],"to":[37,68,102],"complex":[39],"relation":[40,98,106],"between":[41,83],"matching":[42,92,129,145],"patches":[43],"caused":[44],"by":[45],"various":[46],"imagery":[47],"changes.":[48],"To":[49],"tackle":[50],"this":[51,109],"challenge,":[52],"we":[53,66,95],"propose":[54,67,96],"multi-relation":[56],"network":[59],"(MRAN)":[60],"for":[61,74],"Specifically,":[65],"fuse":[69],"multiple":[70],"relations":[72,86,113],"(MR)":[73],"matching,":[75,139],"which":[76],"can":[77],"benefit":[78],"from":[79],"complementary":[81],"advantages":[82],"different":[84],"achieve":[88],"significant":[89],"improvements":[90],"tasks.":[93,149],"Furthermore,":[94],"module":[101],"learn":[103],"fused":[105],"adaptively.":[107],"With":[108],"module,":[110],"meaningful":[111],"are":[114,119],"emphasized":[115],"others":[118],"suppressed.":[120],"Extensive":[121],"experiments":[122],"show":[123],"that":[124],"our":[125],"MRAN":[126],"achieves":[127],"best":[128],"performances,":[130],"has":[132],"good":[133],"generalization":[134],"multi-modal":[136,140],"remote":[141],"sensing":[142],"retrieval":[148]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
