{"id":"https://openalex.org/W4372267301","doi":"https://doi.org/10.1109/icassp49357.2023.10095240","title":"MSFORMER: Multi-Scale Transformer with Neighborhood Consensus for Feature Matching","display_name":"MSFORMER: Multi-Scale Transformer with Neighborhood Consensus for Feature Matching","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372267301","doi":"https://doi.org/10.1109/icassp49357.2023.10095240"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100683862","display_name":"Dongyue Li","orcid":"https://orcid.org/0009-0001-6187-5367"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongyue Li","raw_affiliation_strings":["Southeast University,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"Southeast University,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039034303","display_name":"Yaping Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaping Yan","raw_affiliation_strings":["Southeast University,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"Southeast University,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100692551","display_name":"Dong Liang","orcid":"https://orcid.org/0000-0003-1898-5920"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Liang","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics,Nanjing,China,210016"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics,Nanjing,China,210016","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033755910","display_name":"\u0421\u043e\u043d\u0433\u043b\u0438\u043d \u0414\u0443","orcid":"https://orcid.org/0000-0003-4937-2713"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songlin Du","raw_affiliation_strings":["Southeast University,Nanjing,China,210096"],"affiliations":[{"raw_affiliation_string":"Southeast University,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100683862"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.4913,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63656607,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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":0.9990000128746033,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/feature-matching","display_name":"Feature matching","score":0.7266379594802856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6560471653938293},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6304982900619507},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6100887060165405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6081705093383789},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5773832201957703},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5707302093505859},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4160008132457733},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22833389043807983},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12834405899047852},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.08189025521278381},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06002652645111084}],"concepts":[{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.7266379594802856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6560471653938293},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6304982900619507},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6100887060165405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6081705093383789},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5773832201957703},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5707302093505859},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4160008132457733},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22833389043807983},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12834405899047852},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.08189025521278381},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06002652645111084},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2117228865","https://openalex.org/W2151103935","https://openalex.org/W2565639579","https://openalex.org/W2576008306","https://openalex.org/W2594519801","https://openalex.org/W2754925132","https://openalex.org/W2963059198","https://openalex.org/W2963674285","https://openalex.org/W2963760790","https://openalex.org/W2979458572","https://openalex.org/W2990655570","https://openalex.org/W3034275286","https://openalex.org/W3043075211","https://openalex.org/W3166285241","https://openalex.org/W4221154336","https://openalex.org/W4226224676","https://openalex.org/W4313160444","https://openalex.org/W6739901393","https://openalex.org/W6770485707","https://openalex.org/W6771376659","https://openalex.org/W6779709467","https://openalex.org/W6779835006"],"related_works":["https://openalex.org/W2350424104","https://openalex.org/W2152949619","https://openalex.org/W1090580760","https://openalex.org/W2351963164","https://openalex.org/W4365793569","https://openalex.org/W2389991515","https://openalex.org/W2059082182","https://openalex.org/W2359993687","https://openalex.org/W2050706403","https://openalex.org/W2395120299"],"abstract_inverted_index":{"Existing":[0],"feature":[1,7,12,22,44,102],"matching":[2],"methods":[3,119],"tend":[4],"to":[5,20,25,42,56,93],"extract":[6],"descriptors":[8],"by":[9,89,120],"feeding":[10],"down-sampled":[11],"maps":[13],"into":[14,52,80],"a":[15,69,83,95,121],"Transformer":[16,71],"that":[17,113],"is":[18,72,87],"unable":[19],"extend":[21],"scales,":[23],"leading":[24],"false":[26],"correspondences":[27],"between":[28],"small-size":[29],"objects.":[30],"This":[31],"paper":[32],"proposes":[33],"MSFormer,":[34],"which":[35],"uses":[36],"Transformers":[37],"situated":[38],"in":[39],"different":[40],"branches":[41],"obtain":[43],"descriptors.":[45,103],"In":[46,66],"one":[47],"branch,":[48,68],"convolutions":[49],"are":[50],"integrated":[51],"self-attention":[53],"layers":[54],"elegantly":[55],"compensate":[57],"for":[58],"the":[59,62],"lack":[60],"of":[61,97],"local":[63],"structure":[64],"information.":[65],"another":[67],"multi-scale":[70],"proposed":[73,88],"through":[74],"injecting":[75],"heterogeneous":[76],"receptive":[77],"field":[78],"sizes":[79],"tokens.":[81],"Additionally,":[82],"neighborhood":[84,101],"consensus":[85,99],"mechanism":[86],"re-ranking":[90],"initial":[91],"matches":[92],"make":[94],"constraint":[96],"geometric":[98],"on":[100,106],"Extensive":[104],"experiments":[105],"indoor":[107],"and":[108],"outdoor":[109],"pose":[110],"estimations":[111],"show":[112],"MSFormer":[114],"outperforms":[115],"existing":[116],"state-of-the-":[117],"art":[118],"large":[122],"margin.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
