{"id":"https://openalex.org/W3158464135","doi":"https://doi.org/10.1109/tip.2021.3077138","title":"Consistency Graph Modeling for Semantic Correspondence","display_name":"Consistency Graph Modeling for Semantic Correspondence","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3158464135","doi":"https://doi.org/10.1109/tip.2021.3077138","mag":"3158464135"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3077138","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3077138","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"],"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/A5103096924","display_name":"Jianfeng He","orcid":"https://orcid.org/0000-0002-7700-788X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianfeng He","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-7700-788X","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648981","display_name":"Tianzhu Zhang","orcid":"https://orcid.org/0000-0003-1856-9564"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianzhu Zhang","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-1856-9564","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087119507","display_name":"Yuhui Zheng","orcid":"https://orcid.org/0000-0002-1709-3093"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Zheng","raw_affiliation_strings":["Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China","School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-1709-3093","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081346568","display_name":"Mingliang Xu","orcid":"https://orcid.org/0000-0002-6885-3451"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingliang Xu","raw_affiliation_strings":["School of Information Engineering, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6885-3451","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046305086","display_name":"Yongdong Zhang","orcid":"https://orcid.org/0000-0002-1151-1792"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongdong Zhang","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-1151-1792","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029102289","display_name":"Feng Wu","orcid":"https://orcid.org/0000-0003-3989-0509"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Wu","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103096924"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.5821,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.67600271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"30","issue":null,"first_page":"4932","last_page":"4946"},"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":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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":0.9976000189781189,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9973000288009644,"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":0.6808725595474243},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5887653827667236},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5544388890266418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5134178400039673},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.5052986741065979},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4807043671607971},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.446653813123703},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3724786937236786},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30482685565948486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6808725595474243},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5887653827667236},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5544388890266418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5134178400039673},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.5052986741065979},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4807043671607971},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.446653813123703},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3724786937236786},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30482685565948486},{"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/tip.2021.3077138","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3077138","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G293946073","display_name":null,"funder_award_id":"202000019","funder_id":"https://openalex.org/F4320326873","funder_display_name":"National Laboratory of Pattern Recognition"},{"id":"https://openalex.org/G4406814025","display_name":null,"funder_award_id":"JCKY2020903B002","funder_id":"https://openalex.org/F4320335833","funder_display_name":"National Defense Basic Scientific Research Program of China"},{"id":"https://openalex.org/G4568215876","display_name":null,"funder_award_id":"2018166","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G5706494817","display_name":null,"funder_award_id":"U20B2065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6308808780","display_name":null,"funder_award_id":"62021001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8337718133","display_name":null,"funder_award_id":"62022078","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/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320326873","display_name":"National Laboratory of Pattern Recognition","ror":null},{"id":"https://openalex.org/F4320335833","display_name":"National Defense Basic Scientific Research Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":106,"referenced_works":["https://openalex.org/W209424029","https://openalex.org/W603908379","https://openalex.org/W1508960934","https://openalex.org/W1522301498","https://openalex.org/W1578285471","https://openalex.org/W1686810756","https://openalex.org/W1867429401","https://openalex.org/W1903029394","https://openalex.org/W1926639317","https://openalex.org/W1960436198","https://openalex.org/W1989208478","https://openalex.org/W2003511559","https://openalex.org/W2013640163","https://openalex.org/W2031489346","https://openalex.org/W2033819227","https://openalex.org/W2090518410","https://openalex.org/W2104974755","https://openalex.org/W2108598243","https://openalex.org/W2114297435","https://openalex.org/W2115733720","https://openalex.org/W2116341502","https://openalex.org/W2116645175","https://openalex.org/W2124861766","https://openalex.org/W2132219293","https://openalex.org/W2137278143","https://openalex.org/W2143133882","https://openalex.org/W2151103935","https://openalex.org/W2154583877","https://openalex.org/W2161969291","https://openalex.org/W2189538311","https://openalex.org/W2194775991","https://openalex.org/W2412002662","https://openalex.org/W2435623039","https://openalex.org/W2464606141","https://openalex.org/W2474531669","https://openalex.org/W2519887557","https://openalex.org/W2561377267","https://openalex.org/W2566812041","https://openalex.org/W2593948489","https://openalex.org/W2604233003","https://openalex.org/W2604881841","https://openalex.org/W2616689446","https://openalex.org/W2736876108","https://openalex.org/W2751023760","https://openalex.org/W2771877920","https://openalex.org/W2784375960","https://openalex.org/W2784746431","https://openalex.org/W2799150641","https://openalex.org/W2885650013","https://openalex.org/W2886782161","https://openalex.org/W2890949887","https://openalex.org/W2891202958","https://openalex.org/W2899771611","https://openalex.org/W2913844644","https://openalex.org/W2927438889","https://openalex.org/W2931335216","https://openalex.org/W2947841945","https://openalex.org/W2950974964","https://openalex.org/W2954137266","https://openalex.org/W2962697512","https://openalex.org/W2962793481","https://openalex.org/W2963020784","https://openalex.org/W2963091558","https://openalex.org/W2963325280","https://openalex.org/W2963827464","https://openalex.org/W2963891416","https://openalex.org/W2964015378","https://openalex.org/W2964073646","https://openalex.org/W2964121744","https://openalex.org/W2964141676","https://openalex.org/W2964145825","https://openalex.org/W2964188292","https://openalex.org/W2964198573","https://openalex.org/W2964213755","https://openalex.org/W2964700958","https://openalex.org/W2966838560","https://openalex.org/W2971612271","https://openalex.org/W2979750740","https://openalex.org/W2982121679","https://openalex.org/W2983178467","https://openalex.org/W2985822417","https://openalex.org/W2990045899","https://openalex.org/W3034275286","https://openalex.org/W3035242260","https://openalex.org/W3035477606","https://openalex.org/W3035578028","https://openalex.org/W3036967712","https://openalex.org/W3105204788","https://openalex.org/W3159890710","https://openalex.org/W4205425515","https://openalex.org/W4230371388","https://openalex.org/W4387928059","https://openalex.org/W6618372016","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6640424349","https://openalex.org/W6679506782","https://openalex.org/W6680171035","https://openalex.org/W6713582119","https://openalex.org/W6726873649","https://openalex.org/W6745858788","https://openalex.org/W6754783729","https://openalex.org/W6754984195","https://openalex.org/W6756040250","https://openalex.org/W6763141439","https://openalex.org/W6764386301"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374","https://openalex.org/W2981954115"],"abstract_inverted_index":{"To":[0],"establish":[1],"robust":[2,142],"semantic":[3,67,115,150],"correspondence":[4,68],"between":[5],"images":[6],"covering":[7],"different":[8],"objects":[9],"belonging":[10],"to":[11,91,102,143],"the":[12,40,92,99,105],"same":[13],"category,":[14],"there":[15],"are":[16],"three":[17,106,122],"important":[18],"types":[19,38],"of":[20,39,94,108],"information":[21,42,109],"including":[22,125,168],"inter-image":[23,71],"relationship,":[24,72],"intra-image":[25,73],"relationship":[26,74],"and":[27,43,48,75,130,146,172],"cycle":[28,76,131],"consistency.":[29],"Most":[30],"existing":[31,54],"methods":[32,163],"only":[33],"exploit":[34],"one":[35],"or":[36],"two":[37],"above":[41],"cannot":[44],"make":[45],"them":[46],"enhance":[47],"complement":[49],"each":[50],"other.":[51],"Different":[52],"from":[53],"methods,":[55],"we":[56],"propose":[57],"a":[58,80,111],"novel":[59],"end-to-end":[60],"Consistency":[61],"Graph":[62],"Modeling":[63],"Network":[64],"(CGMNet)":[65],"for":[66,114,149],"by":[69],"modeling":[70],"consistency":[77,132],"jointly":[78,103,136],"in":[79,110],"unified":[81],"deep":[82,112],"model.":[83],"The":[84],"proposed":[85],"CGMNet":[86],"enjoys":[87],"several":[88],"merits.":[89],"First,":[90],"best":[93],"our":[95,118,157],"knowledge,":[96],"this":[97],"is":[98],"first":[100],"work":[101],"model":[104,113,119],"kinds":[107],"correspondence.":[116,151],"Second,":[117],"has":[120],"designed":[121],"effective":[123],"modules":[124],"cross-graph":[126],"module,":[127,133],"intra-graph":[128],"module":[129],"which":[134],"can":[135],"learn":[137],"more":[138],"discriminative":[139],"feature":[140],"representations":[141],"local":[144],"ambiguities":[145],"background":[147],"clutter":[148],"Extensive":[152],"experimental":[153],"results":[154],"show":[155],"that":[156],"algorithm":[158],"performs":[159],"favorably":[160],"against":[161],"state-of-the-art":[162],"on":[164],"four":[165],"challenging":[166],"datasets":[167],"PF-PASCAL,":[169],"PF-WILLOW,":[170],"Caltech-101":[171],"TSS.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-04T09:04:59.091469","created_date":"2021-05-10T00:00:00"}
