{"id":"https://openalex.org/W3034329584","doi":"https://doi.org/10.1145/3397271.3401176","title":"Regional Relation Modeling for Visual Place Recognition","display_name":"Regional Relation Modeling for Visual Place Recognition","publication_year":2020,"publication_date":"2020-07-25","ids":{"openalex":"https://openalex.org/W3034329584","doi":"https://doi.org/10.1145/3397271.3401176","mag":"3034329584"},"language":"en","primary_location":{"id":"doi:10.1145/3397271.3401176","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","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/A5068185303","display_name":"Yingying Zhu","orcid":"https://orcid.org/0000-0002-3475-6186"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingying Zhu","raw_affiliation_strings":["Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334873","display_name":"Biao Li","orcid":"https://orcid.org/0000-0002-8952-1990"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Li","raw_affiliation_strings":["Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100677842","display_name":"Jiong Wang","orcid":"https://orcid.org/0000-0002-4632-6191"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiong Wang","raw_affiliation_strings":["Zhejiang University, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079260216","display_name":"Zhou Zhao","orcid":"https://orcid.org/0000-0001-6121-0384"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Zhao","raw_affiliation_strings":["Zhejiang University, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3417,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62422929,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"821","last_page":"830"},"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":0.9994999766349792,"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":0.9994999766349792,"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":0.9970999956130981,"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":0.9962000250816345,"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/discriminative-model","display_name":"Discriminative model","score":0.8512848615646362},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.8493056297302246},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7344047427177429},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7090901136398315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6969258785247803},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6082739233970642},{"id":"https://openalex.org/keywords/spatial-relation","display_name":"Spatial relation","score":0.5966103076934814},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5884016156196594},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45862147212028503},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.45210689306259155},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3209397792816162},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.27471643686294556}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8512848615646362},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.8493056297302246},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7344047427177429},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7090901136398315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6969258785247803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6082739233970642},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.5966103076934814},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5884016156196594},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45862147212028503},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.45210689306259155},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3209397792816162},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27471643686294556},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3397271.3401176","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W343636949","https://openalex.org/W963660264","https://openalex.org/W1537528663","https://openalex.org/W1556531089","https://openalex.org/W1976794880","https://openalex.org/W1984309565","https://openalex.org/W1987488988","https://openalex.org/W1998728242","https://openalex.org/W2013270301","https://openalex.org/W2031489346","https://openalex.org/W2054957336","https://openalex.org/W2073761981","https://openalex.org/W2103163130","https://openalex.org/W2103924867","https://openalex.org/W2141362318","https://openalex.org/W2144824356","https://openalex.org/W2148809531","https://openalex.org/W2151103935","https://openalex.org/W2163605009","https://openalex.org/W2174726731","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2204975001","https://openalex.org/W2217115543","https://openalex.org/W2277195237","https://openalex.org/W2321533354","https://openalex.org/W2340690086","https://openalex.org/W2479423890","https://openalex.org/W2522940611","https://openalex.org/W2544587078","https://openalex.org/W2589016937","https://openalex.org/W2607855566","https://openalex.org/W2620629206","https://openalex.org/W2737075200","https://openalex.org/W2744874208","https://openalex.org/W2780675120","https://openalex.org/W2806331055","https://openalex.org/W2885052112","https://openalex.org/W2886604692","https://openalex.org/W2887029921","https://openalex.org/W2897464384","https://openalex.org/W2950898568","https://openalex.org/W2951019013","https://openalex.org/W2962835968","https://openalex.org/W2963091558","https://openalex.org/W2963907629","https://openalex.org/W2963953476","https://openalex.org/W2964080601","https://openalex.org/W2964157791","https://openalex.org/W2982524430","https://openalex.org/W2990519439","https://openalex.org/W2992049873"],"related_works":["https://openalex.org/W2911599258","https://openalex.org/W2404514746","https://openalex.org/W1652783584","https://openalex.org/W4281640556","https://openalex.org/W1971623867","https://openalex.org/W3034329584","https://openalex.org/W1982770690","https://openalex.org/W2973523586","https://openalex.org/W4313591539","https://openalex.org/W2971458799"],"abstract_inverted_index":{"In":[0,58],"the":[1,10,26,37,43,53,69,74,79,97,121,127,131,148,153],"process":[2],"of":[3,12,99,143],"visual":[4,30],"perception,":[5],"humans":[6],"perceive":[7],"not":[8],"only":[9],"appearance":[11,128,137],"objects":[13],"existing":[14],"in":[15],"a":[16,63,86],"place":[17,31,45,114],"but":[18],"also":[19],"their":[20],"relationships":[21,71],"(e.g.":[22],"spatial":[23],"layout).":[24],"However,":[25],"dominant":[27],"works":[28],"on":[29,36,112],"recognition":[32,115],"are":[33,134,145],"always":[34],"based":[35],"assumption":[38],"that":[39,118],"two":[40,113,141],"images":[41],"depict":[42],"same":[44],"if":[46],"they":[47],"contain":[48],"enough":[49],"similar":[50],"objects,":[51],"while":[52],"relation":[54,65,93,124,132],"information":[55,107],"is":[56],"neglected.":[57],"this":[59],"paper,":[60],"we":[61],"propose":[62],"regional":[64,70,123],"module":[66,125],"which":[67],"models":[68],"and":[72,102,130],"converts":[73],"convolutional":[75],"feature":[76,81],"maps":[77],"to":[78,90,136],"relational":[80],"maps.":[82],"We":[83],"further":[84],"design":[85],"cascaded":[87],"pooling":[88],"method":[89],"get":[91],"discriminative":[92],"descriptors":[94,129,133,144,151],"by":[95],"preventing":[96],"influence":[98],"confusing":[100],"relations":[101],"preserving":[103],"as":[104,108],"much":[105],"useful":[106],"possible.":[109],"Extensive":[110],"experiments":[111],"benchmarks":[116],"demonstrate":[117],"training":[119],"with":[120],"proposed":[122],"improves":[126],"complementary":[135],"descriptors.":[138],"When":[139],"these":[140],"kinds":[142],"concatenated":[146],"together,":[147],"resulting":[149],"combined":[150],"outperform":[152],"state-of-the-art":[154],"methods.":[155]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
