{"id":"https://openalex.org/W3117687592","doi":"https://doi.org/10.1109/access.2020.3046845","title":"Semi-Global Context Network for Semantic Correspondence","display_name":"Semi-Global Context Network for Semantic Correspondence","publication_year":2020,"publication_date":"2020-12-23","ids":{"openalex":"https://openalex.org/W3117687592","doi":"https://doi.org/10.1109/access.2020.3046845","mag":"3117687592"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3046845","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3046845","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09305227.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09305227.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100650679","display_name":"Hojun Lee","orcid":"https://orcid.org/0000-0003-2327-674X"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ho-Jun Lee","raw_affiliation_strings":["School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110734147","display_name":"Hong Tae Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hong Tae Choi","raw_affiliation_strings":["School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060654871","display_name":"Sung Kyu Park","orcid":"https://orcid.org/0000-0001-9617-2541"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung Kyu Park","raw_affiliation_strings":["School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-9617-2541","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026178235","display_name":"Ho\u2010Hyun Park","orcid":"https://orcid.org/0000-0003-0322-8660"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ho-Hyun Park","raw_affiliation_strings":["School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-0322-8660","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I67900169"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0958,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.42640434,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"2496","last_page":"2507"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9991999864578247,"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":0.9987000226974487,"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":0.7969398498535156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6077679395675659},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5604096055030823},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4996011257171631},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.4949161410331726},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4943718910217285},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4830361306667328},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.45045074820518494},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.425857275724411},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.370113343000412}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7969398498535156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6077679395675659},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5604096055030823},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4996011257171631},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.4949161410331726},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4943718910217285},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4830361306667328},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.45045074820518494},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.425857275724411},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.370113343000412},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3046845","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3046845","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09305227.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2cf3063ed41d4160964ec77614c99663","is_oa":true,"landing_page_url":"https://doaj.org/article/2cf3063ed41d4160964ec77614c99663","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 2496-2507 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3046845","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3046845","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09305227.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2623104799","display_name":null,"funder_award_id":"P0002397","funder_id":"https://openalex.org/F4320322064","funder_display_name":"Korea Institute for Advancement of Technology"},{"id":"https://openalex.org/G263319682","display_name":null,"funder_award_id":"2020R1F1A1069065","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321202","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98"},{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320322064","display_name":"Korea Institute for Advancement of Technology","ror":"https://ror.org/015w1qa96"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3117687592.pdf","grobid_xml":"https://content.openalex.org/works/W3117687592.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1867429401","https://openalex.org/W1960436198","https://openalex.org/W1993120651","https://openalex.org/W2013640163","https://openalex.org/W2065368760","https://openalex.org/W2090518410","https://openalex.org/W2104853049","https://openalex.org/W2104974755","https://openalex.org/W2108598243","https://openalex.org/W2117248802","https://openalex.org/W2124861766","https://openalex.org/W2134292164","https://openalex.org/W2144502914","https://openalex.org/W2148534289","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2171857946","https://openalex.org/W2274287116","https://openalex.org/W2435623039","https://openalex.org/W2464606141","https://openalex.org/W2561377267","https://openalex.org/W2566812041","https://openalex.org/W2604881841","https://openalex.org/W2618530766","https://openalex.org/W2736876108","https://openalex.org/W2793003838","https://openalex.org/W2885650013","https://openalex.org/W2888627508","https://openalex.org/W2891202958","https://openalex.org/W2947841945","https://openalex.org/W2950974964","https://openalex.org/W2962697512","https://openalex.org/W2963020784","https://openalex.org/W2963325280","https://openalex.org/W2963373786","https://openalex.org/W2963403868","https://openalex.org/W2964121744","https://openalex.org/W2964141676","https://openalex.org/W2964188292","https://openalex.org/W2964213755","https://openalex.org/W2964350391","https://openalex.org/W2982121679","https://openalex.org/W2985822417","https://openalex.org/W3016163669","https://openalex.org/W3035472788","https://openalex.org/W3035578028","https://openalex.org/W3044954034","https://openalex.org/W3049117435","https://openalex.org/W3092135995","https://openalex.org/W3100325658","https://openalex.org/W4205425515","https://openalex.org/W4247375518","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6667016245","https://openalex.org/W6683411478","https://openalex.org/W6694260854","https://openalex.org/W6718379498","https://openalex.org/W6739901393","https://openalex.org/W6754783729","https://openalex.org/W6764386301","https://openalex.org/W6779835006"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W4394861761","https://openalex.org/W1977371217","https://openalex.org/W2035264131","https://openalex.org/W2493838176","https://openalex.org/W4297686120"],"abstract_inverted_index":{"Estimating":[0],"semantic":[1,34,40,45,67,71,89],"correspondence":[2,46,72],"between":[3],"pairs":[4],"of":[5,13,110,141,154],"images":[6],"can":[7],"be":[8],"challenging":[9],"as":[10,73,75],"a":[11,24,56,76,101,107,124,139,152],"result":[12],"intra-class":[14,49],"variation,":[15],"background":[16,82],"clutter,":[17],"and":[18,51,145,156,170],"repetitive":[19,52],"patterns.":[20,53],"This":[21,117],"paper":[22],"proposes":[23],"convolutional":[25],"neural":[26],"network":[27,93],"(CNN)":[28],"that":[29,36,62],"attempts":[30],"to":[31,42,80,128,163],"learn":[32],"rich":[33],"representations":[35],"contain":[37],"the":[38,65,87,131,147,167],"global":[39,57,66,88],"context":[41,58,68],"enable":[43],"robust":[44],"estimation":[47],"against":[48],"variation":[50],"We":[54],"introduce":[55],"fused":[59],"feature":[60,79],"representation":[61],"efficiently":[63],"employs":[64],"in":[69,85,96],"estimating":[70],"well":[74],"semi-global":[77],"self-similarity":[78],"reduce":[81],"clutter-induced":[83],"distraction":[84],"capturing":[86],"context.":[90],"The":[91],"proposed":[92],"is":[94,121],"trained":[95],"an":[97],"end-to-end":[98],"manner":[99],"using":[100],"weakly":[102,118],"supervised":[103,119],"loss,":[104],"which":[105],"requires":[106],"weak":[108],"level":[109],"supervision":[111],"involving":[112],"annotation":[113],"on":[114,166],"image":[115],"pairs.":[116],"loss":[120,127],"supplemented":[122],"with":[123],"historical":[125],"averaging":[126],"effectively":[129],"train":[130],"network.":[132],"Our":[133],"approach":[134],"decreases":[135],"running":[136],"time":[137],"by":[138,151],"factor":[140,153],"more":[142],"than":[143],"four":[144],"reduces":[146],"training":[148],"memory":[149],"requirement":[150],"three":[155],"produces":[157],"competitive":[158],"or":[159],"superior":[160],"results":[161],"relative":[162],"previous":[164],"approaches":[165],"PF-PASCAL,":[168],"PF-WILLOW,":[169],"TSS":[171],"benchmarks.":[172]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T08:27:34.040176","created_date":"2025-10-10T00:00:00"}