{"id":"https://openalex.org/W4416649583","doi":"https://doi.org/10.1109/lsp.2025.3636997","title":"CPFormer-Net: Correspondence Pruning Transformer With Structured Context Aggregation","display_name":"CPFormer-Net: Correspondence Pruning Transformer With Structured Context Aggregation","publication_year":2025,"publication_date":"2025-11-25","ids":{"openalex":"https://openalex.org/W4416649583","doi":"https://doi.org/10.1109/lsp.2025.3636997"},"language":null,"primary_location":{"id":"doi:10.1109/lsp.2025.3636997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3636997","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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":"https://openalex.org/A5063406444","display_name":"Hanlin Guo","orcid":"https://orcid.org/0000-0003-3037-9210"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanlin Guo","raw_affiliation_strings":["School of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0003-3037-9210","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091575350","display_name":"Weijia Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijia Lv","raw_affiliation_strings":["School of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110761172","display_name":"Zhi Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Shen","raw_affiliation_strings":["Fujian Key Laboratory of Pattern Recognition and Image Understanding, School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Pattern Recognition and Image Understanding, School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032628425","display_name":"Da\u2010Han Wang","orcid":"https://orcid.org/0000-0002-5901-0778"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da-Han Wang","raw_affiliation_strings":["Fujian Key Laboratory of Pattern Recognition and Image Understanding, School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-5901-0778","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Pattern Recognition and Image Understanding, School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088931934","display_name":"Yukang Zhang","orcid":"https://orcid.org/0009-0007-4547-5877"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yukang Zhang","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0009-0007-4547-5877","affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"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":0.32846527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"111","last_page":"115"},"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":0.490200012922287,"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":0.490200012922287,"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":0.22859999537467957,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.051600001752376556,"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":0.5162000060081482},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5012000203132629},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.4909999966621399},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.46000000834465027},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43950000405311584},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4341000020503998},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42149999737739563},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.39959999918937683}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7861999869346619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6065000295639038},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5162000060081482},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5012000203132629},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.4909999966621399},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.46000000834465027},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43950000405311584},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4341000020503998},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42149999737739563},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.39959999918937683},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3621000051498413},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3553999960422516},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3513999879360199},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.34769999980926514},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.34310001134872437},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.3427000045776367},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31610000133514404},{"id":"https://openalex.org/C110893760","wikidata":"https://www.wikidata.org/wiki/Q3115590","display_name":"Named graph","level":5,"score":0.296999990940094},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.2912999987602234},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26660001277923584},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26339998841285706},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2025.3636997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3636997","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5130303938","display_name":"\u57fa\u4e8e\u90bb\u57df\u7ea6\u675f\u7684\u9ad8\u6548\u9c81\u68d2\u6a21\u578b\u62df\u5408\u65b9\u6cd5\u7814\u7a76","funder_award_id":"2024J011205","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G8452163363","display_name":null,"funder_award_id":"52572424","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8965089038","display_name":null,"funder_award_id":"6250071985","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/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1612997784","https://openalex.org/W1985238052","https://openalex.org/W2071730188","https://openalex.org/W2085261163","https://openalex.org/W2111419080","https://openalex.org/W2250384498","https://openalex.org/W2740578684","https://openalex.org/W2754925132","https://openalex.org/W2796314858","https://openalex.org/W2902206865","https://openalex.org/W2963674285","https://openalex.org/W2990655570","https://openalex.org/W3043075211","https://openalex.org/W3138808092","https://openalex.org/W3194523157","https://openalex.org/W3200706023","https://openalex.org/W3204035704","https://openalex.org/W3206918971","https://openalex.org/W4221067640","https://openalex.org/W4280538209","https://openalex.org/W4283789017","https://openalex.org/W4312322996","https://openalex.org/W4319778255","https://openalex.org/W4328007208","https://openalex.org/W4382239971","https://openalex.org/W4386758381","https://openalex.org/W4387368945","https://openalex.org/W4388622849","https://openalex.org/W4389318018","https://openalex.org/W4392124998","https://openalex.org/W4392904488","https://openalex.org/W4393158666","https://openalex.org/W4393159056","https://openalex.org/W4395069541","https://openalex.org/W4398138244","https://openalex.org/W4401635130","https://openalex.org/W4402727438","https://openalex.org/W4403944333","https://openalex.org/W4405056285","https://openalex.org/W4409326045","https://openalex.org/W4410852834","https://openalex.org/W4414452769"],"related_works":[],"abstract_inverted_index":{"Finding":[0],"reliable":[1],"correspondences":[2],"between":[3],"two-view":[4],"images":[5],"remains":[6],"challenging,":[7],"particularly":[8],"under":[9],"high":[10],"outlier":[11],"ratios.":[12],"While":[13],"existing":[14],"transformer-based":[15],"methods":[16,151],"excel":[17],"in":[18,152],"capturing":[19],"global":[20,68],"context,":[21],"they":[22],"often":[23],"fail":[24],"to":[25,74,95,111,118,134],"maintain":[26],"robust":[27],"long-range":[28,49,114],"semantic":[29,80],"dependencies":[30],"across":[31],"input":[32],"correspondences.":[33],"To":[34],"address":[35],"this,":[36],"we":[37,61,83],"propose":[38,62,84],"a":[39,92],"novel":[40],"correspondence":[41,58,156],"pruning":[42],"transformer":[43],"network,":[44],"called":[45],"CPFormer-Net,":[46],"which":[47,66],"enhances":[48],"dependency":[50],"modeling":[51],"via":[52],"structured":[53],"context":[54,69],"aggregation":[55],"for":[56],"accurate":[57],"pruning.":[59],"Specifically,":[60],"the":[63,85,127],"CPFormer":[64],"module,":[65],"integrates":[67],"with":[70,91,106],"local":[71],"geometric":[72],"cues":[73],"ensure":[75],"both":[76],"structural":[77],"coherence":[78],"and":[79,123,132,142,155],"consistency.":[81],"Then,":[82],"Semantic":[86],"Graph":[87],"Network":[88],"(SEGN)":[89],"module":[90],"dual-branch":[93],"architecture":[94],"improve":[96],"representation.":[97],"One":[98],"branch":[99,129],"applies":[100],"Structured":[101],"Context":[102],"Aggregation":[103],"(SCA)":[104],"block":[105],"an":[107],"agent":[108],"attention":[109],"mechanism":[110],"explicitly":[112],"model":[113],"dependencies,":[115],"enabling":[116],"it":[117],"filter":[119],"channels,":[120],"recalibrate":[121],"features,":[122],"guide":[124],"attention,":[125],"while":[126],"other":[128],"employs":[130],"pooling":[131],"normalization":[133],"preserve":[135],"spatial":[136],"relations.":[137],"Extensive":[138],"experiments":[139],"on":[140],"indoor":[141],"outdoor":[143],"benchmarks":[144],"demonstrate":[145],"that":[146],"CPFormer-Net":[147],"consistently":[148],"outperforms":[149],"state-of-the-art":[150],"inlier":[153],"identification":[154],"matching.":[157]},"counts_by_year":[],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-11-25T00:00:00"}
