{"id":"https://openalex.org/W3175600894","doi":"https://doi.org/10.1109/tmm.2020.2994524","title":"Progressive Bilateral-Context Driven Model for Post-Processing Person Re-Identification","display_name":"Progressive Bilateral-Context Driven Model for Post-Processing Person Re-Identification","publication_year":2020,"publication_date":"2020-05-13","ids":{"openalex":"https://openalex.org/W3175600894","doi":"https://doi.org/10.1109/tmm.2020.2994524","mag":"3175600894"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2020.2994524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.2994524","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5111346891","display_name":"Min Cao","orcid":"https://orcid.org/0000-0002-6628-0370"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I3019423309","display_name":"Fraunhofer Institute for Computer Graphics Research","ror":"https://ror.org/04gmsar03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3019423309","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN","DE"],"is_corresponding":false,"raw_author_name":"Min Cao","raw_affiliation_strings":["Fraunhofer IGD, Darmstadt, Germany","Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6628-0370","affiliations":[{"raw_affiliation_string":"Fraunhofer IGD, Darmstadt, Germany","institution_ids":["https://openalex.org/I3019423309"]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]},{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418380","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0001-8297-6549"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Chen","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8297-6549","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112233442","display_name":"Hao Dou","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Dou","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016446416","display_name":"Xiyuan Hu","orcid":"https://orcid.org/0000-0002-7095-6986"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiyuan Hu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7095-6986","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043440896","display_name":"Silong Peng","orcid":"https://orcid.org/0000-0002-3594-5843"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Silong Peng","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3594-5843","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046597105","display_name":"Arjan Kuijper","orcid":"https://orcid.org/0000-0002-6413-0061"},"institutions":[{"id":"https://openalex.org/I3019423309","display_name":"Fraunhofer Institute for Computer Graphics Research","ror":"https://ror.org/04gmsar03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3019423309","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Arjan Kuijper","raw_affiliation_strings":["Fraunhofer IGD, Darmstadt, Germany","Mathematical and Applied Visual Computing, TU Darmstadt, Darmstadt, Germany"],"raw_orcid":"https://orcid.org/0000-0002-6413-0061","affiliations":[{"raw_affiliation_string":"Fraunhofer IGD, Darmstadt, Germany","institution_ids":["https://openalex.org/I3019423309"]},{"raw_affiliation_string":"Mathematical and Applied Visual Computing, TU Darmstadt, Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1539,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.79026474,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"23","issue":null,"first_page":"1239","last_page":"1251"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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/T11448","display_name":"Face recognition and analysis","score":0.9966999888420105,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/computer-science","display_name":"Computer science","score":0.7709859609603882},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.74562668800354},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6583760976791382},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.612162709236145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.610071063041687},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.585014820098877},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5511724352836609},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5391879677772522},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5046442747116089},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.46711716055870056},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4580264985561371},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.41601887345314026},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4102995693683624},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4009988009929657},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3466367721557617},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19740286469459534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7709859609603882},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.74562668800354},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6583760976791382},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.612162709236145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.610071063041687},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.585014820098877},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5511724352836609},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5391879677772522},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5046442747116089},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46711716055870056},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4580264985561371},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.41601887345314026},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4102995693683624},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4009988009929657},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3466367721557617},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19740286469459534},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tmm.2020.2994524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.2994524","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:fraunhofer.de:N-590009","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-590009.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IGD","raw_type":"Journal Article"},{"id":"pmh:oai:null:publica/262623","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/262623","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"journal article"},{"id":"pmh:oai:tubiblio.ulb.tu-darmstadt.de:120841","is_oa":false,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/120841/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196390","display_name":"TUbilio (Technical University of Darmstadt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Artikel"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4703555330","display_name":null,"funder_award_id":"NSFC 61906194","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8577815862","display_name":null,"funder_award_id":"25904","funder_id":"https://openalex.org/F4320336026","funder_display_name":"National Key Research and Development Program of China Stem Cell and Translational Research"},{"id":"https://openalex.org/G8623230805","display_name":null,"funder_award_id":"2017YFC0803505","funder_id":"https://openalex.org/F4320336026","funder_display_name":"National Key Research and Development Program of China Stem Cell and Translational Research"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336026","display_name":"National Key Research and Development Program of China Stem Cell and Translational Research","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1518138188","https://openalex.org/W1949591461","https://openalex.org/W1982925187","https://openalex.org/W2052184388","https://openalex.org/W2067791040","https://openalex.org/W2140844045","https://openalex.org/W2142992480","https://openalex.org/W2163605009","https://openalex.org/W2173979064","https://openalex.org/W2204750386","https://openalex.org/W2209877316","https://openalex.org/W2242818826","https://openalex.org/W2293561010","https://openalex.org/W2433217581","https://openalex.org/W2502225121","https://openalex.org/W2510970676","https://openalex.org/W2511791013","https://openalex.org/W2519338267","https://openalex.org/W2520433280","https://openalex.org/W2560982456","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2596839961","https://openalex.org/W2597704789","https://openalex.org/W2604211872","https://openalex.org/W2618530766","https://openalex.org/W2766623491","https://openalex.org/W2798429327","https://openalex.org/W2798458055","https://openalex.org/W2883638665","https://openalex.org/W2885709146","https://openalex.org/W2896888563","https://openalex.org/W2912149104","https://openalex.org/W2931882224","https://openalex.org/W2949195375","https://openalex.org/W2954765307","https://openalex.org/W2962691289","https://openalex.org/W2962926870","https://openalex.org/W2963322158","https://openalex.org/W2963438548","https://openalex.org/W2963696937","https://openalex.org/W2963805953","https://openalex.org/W2963842104","https://openalex.org/W2963854696","https://openalex.org/W2963901085","https://openalex.org/W2964130064","https://openalex.org/W2967515867","https://openalex.org/W2979931389","https://openalex.org/W2981420411","https://openalex.org/W2983697263","https://openalex.org/W2984040540","https://openalex.org/W2988964414","https://openalex.org/W2992183111","https://openalex.org/W2998508940"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W2011472225","https://openalex.org/W2767338541","https://openalex.org/W3000057026","https://openalex.org/W3048565508","https://openalex.org/W3163984363","https://openalex.org/W51364034","https://openalex.org/W2894446834","https://openalex.org/W2898073868","https://openalex.org/W4284663758"],"abstract_inverted_index":{"Most":[0],"existing":[1],"person":[2,78,156,180],"re-identification":[3,79,157,181],"methods":[4,24],"compute":[5,139],"pairwise":[6,28,45,84,141],"similarity":[7,34,46,142],"by":[8,61,88,171],"extracting":[9],"robust":[10],"visual":[11,20],"features":[12],"and":[13,94,130],"learning":[14],"the":[15,27,33,44,53,57,63,68,83,89,92,95,104,108,126,131,140,163,178,188,199],"discriminative":[16],"metric.":[17],"Owing":[18],"to":[19,138],"ambiguities,":[21],"these":[22],"content-based":[23,179],"that":[25,161],"determine":[26],"relationship":[29,90],"only":[30,192],"based":[31],"on":[32,153],"between":[35,91],"them,":[36],"inevitably":[37],"produce":[38],"a":[39,75,147,174],"suboptimal":[40],"ranking":[41,200],"list.":[42],"Instead,":[43],"can":[47,166],"be":[48],"estimated":[49],"more":[50],"accurately":[51],"along":[52],"geodesic":[54],"path":[55],"of":[56,67,117,202],"underlying":[58],"data":[59],"manifold":[60],"exploring":[62],"rich":[64],"contextual":[65],"information":[66],"sample.":[69],"In":[70],"this":[71],"paper,":[72],"we":[73],"propose":[74],"lightweight":[76,190],"post-processing":[77,149,175],"method":[80,165,191],"in":[81,98,143,146],"which":[82,135],"measure":[85],"is":[86,115,209],"determined":[87],"sample":[93],"counterpart's":[96],"context":[97,114,129],"an":[99],"unsupervised":[100],"way.":[101],"We":[102],"translate":[103],"point-to-point":[105],"comparison":[106],"into":[107],"bilateral":[109],"point-to-set":[110],"comparison.":[111],"The":[112,151],"sample's":[113],"composed":[116],"its":[118,184,206],"neighbor":[119],"samples":[120],"with":[121],"two":[122],"different":[123],"definition":[124],"ways:":[125],"first":[127],"order":[128,133],"second":[132],"context,":[134],"are":[136],"used":[137],"sequence,":[144],"resulting":[145],"progressive":[148],"model.":[150],"experiments":[152],"four":[154],"large-scale":[155],"benchmark":[158],"datasets":[159],"indicate":[160],"(1)":[162],"proposed":[164,189],"consistently":[167],"achieve":[168],"higher":[169],"accuracies":[170],"serving":[172],"as":[173],"procedure":[176],"after":[177],"methods,":[182],"showing":[183,205],"state-of-the-art":[185],"results,":[186],"(2)":[187],"needs":[193],"about":[194],"6":[195],"milliseconds":[196],"for":[197],"optimizing":[198],"results":[201],"one":[203],"sample,":[204],"high-efficiency.":[207],"Code":[208],"available":[210],"at:":[211],"https://github.com/123ci/PBCmodel.":[212]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
