{"id":"https://openalex.org/W3216723752","doi":"https://doi.org/10.3390/s21238005","title":"Robust Data Association Using Fusion of Data-Driven and Engineered Features for Real-Time Pedestrian Tracking in Thermal Images","display_name":"Robust Data Association Using Fusion of Data-Driven and Engineered Features for Real-Time Pedestrian Tracking in Thermal Images","publication_year":2021,"publication_date":"2021-11-30","ids":{"openalex":"https://openalex.org/W3216723752","doi":"https://doi.org/10.3390/s21238005","mag":"3216723752","pmid":"https://pubmed.ncbi.nlm.nih.gov/34884016"},"language":"en","primary_location":{"id":"doi:10.3390/s21238005","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21238005","pdf_url":"https://www.mdpi.com/1424-8220/21/23/8005/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/23/8005/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031091271","display_name":"Mircea Paul Muresan","orcid":"https://orcid.org/0000-0003-0315-3507"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Mircea Paul Muresan","raw_affiliation_strings":["Computer Science Department, Technical University of Cluj-Napoca, 28 Memorandumului Street, 400114 Cluj Napoca, Romania"],"raw_orcid":"https://orcid.org/0000-0003-0315-3507","affiliations":[{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj-Napoca, 28 Memorandumului Street, 400114 Cluj Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047954457","display_name":"Sergiu Nedevschi","orcid":"https://orcid.org/0000-0003-2018-4647"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Sergiu Nedevschi","raw_affiliation_strings":["Computer Science Department, Technical University of Cluj-Napoca, 28 Memorandumului Street, 400114 Cluj Napoca, Romania"],"raw_orcid":"https://orcid.org/0000-0003-2018-4647","affiliations":[{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj-Napoca, 28 Memorandumului Street, 400114 Cluj Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014747694","display_name":"Radu D\u0103nescu","orcid":"https://orcid.org/0000-0002-4515-8114"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Radu Danescu","raw_affiliation_strings":["Computer Science Department, Technical University of Cluj-Napoca, 28 Memorandumului Street, 400114 Cluj Napoca, Romania"],"raw_orcid":"https://orcid.org/0000-0002-4515-8114","affiliations":[{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj-Napoca, 28 Memorandumului Street, 400114 Cluj Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5031091271"],"corresponding_institution_ids":["https://openalex.org/I158333966"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.3554,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.9063408,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"21","issue":"23","first_page":"8005","last_page":"8005"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9954000115394592,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9909999966621399,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6974769234657288},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6918554902076721},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6756507158279419},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.6141619086265564},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5835433602333069},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.525727391242981},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5021946430206299},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4930255115032196},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.48877379298210144},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.482340544462204},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4509701728820801},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3714703321456909},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3686702251434326},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3678792715072632},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15879970788955688}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6974769234657288},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6918554902076721},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6756507158279419},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.6141619086265564},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5835433602333069},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.525727391242981},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5021946430206299},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4930255115032196},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.48877379298210144},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.482340544462204},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4509701728820801},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3714703321456909},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3686702251434326},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3678792715072632},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15879970788955688},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069636","descriptor_name":"Pedestrians","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069636","descriptor_name":"Pedestrians","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069636","descriptor_name":"Pedestrians","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014785","descriptor_name":"Vision, Ocular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014785","descriptor_name":"Vision, Ocular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014785","descriptor_name":"Vision, Ocular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21238005","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21238005","pdf_url":"https://www.mdpi.com/1424-8220/21/23/8005/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:34884016","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34884016","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:bc44fd77631d4961968e03eb51fa5594","is_oa":true,"landing_page_url":"https://doaj.org/article/bc44fd77631d4961968e03eb51fa5594","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":"Sensors, Vol 21, Iss 23, p 8005 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/23/8005/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21238005","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 23; Pages: 8005","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8659910","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8659910","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21238005","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21238005","pdf_url":"https://www.mdpi.com/1424-8220/21/23/8005/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G7704212111","display_name":null,"funder_award_id":"PN-III-P4-ID-PCE-2020-1700","funder_id":"https://openalex.org/F4320323983","funder_display_name":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii"}],"funders":[{"id":"https://openalex.org/F4320323983","display_name":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii","ror":"https://ror.org/01q7jq182"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3216723752.pdf","grobid_xml":"https://content.openalex.org/works/W3216723752.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1531192956","https://openalex.org/W1955741794","https://openalex.org/W2036490799","https://openalex.org/W2095091362","https://openalex.org/W2112560640","https://openalex.org/W2140963294","https://openalex.org/W2144553825","https://openalex.org/W2150066425","https://openalex.org/W2156158655","https://openalex.org/W2169566837","https://openalex.org/W2214352687","https://openalex.org/W2220822028","https://openalex.org/W2222512263","https://openalex.org/W2247229935","https://openalex.org/W2470394683","https://openalex.org/W2473868734","https://openalex.org/W2477047852","https://openalex.org/W2618530766","https://openalex.org/W2737362155","https://openalex.org/W2739491435","https://openalex.org/W2765594081","https://openalex.org/W2776035257","https://openalex.org/W2783258213","https://openalex.org/W2791774614","https://openalex.org/W2805902878","https://openalex.org/W2897545412","https://openalex.org/W2913466142","https://openalex.org/W2937749627","https://openalex.org/W2962824803","https://openalex.org/W2963030525","https://openalex.org/W2963037989","https://openalex.org/W2963249584","https://openalex.org/W2964242925","https://openalex.org/W2965620582","https://openalex.org/W3000141390","https://openalex.org/W3007191641","https://openalex.org/W3041551881","https://openalex.org/W3049650526","https://openalex.org/W3102667960","https://openalex.org/W3105117126","https://openalex.org/W3110962791","https://openalex.org/W3162318169"],"related_works":["https://openalex.org/W1885346831","https://openalex.org/W2165640264","https://openalex.org/W2384762704","https://openalex.org/W2121243059","https://openalex.org/W2151694338","https://openalex.org/W2368009697","https://openalex.org/W1437594004","https://openalex.org/W2372861085","https://openalex.org/W1993545047","https://openalex.org/W2094216904"],"abstract_inverted_index":{"Object":[0],"tracking":[1,179],"is":[2,21,59],"an":[3,120,192],"essential":[4],"problem":[5],"in":[6,18,48,142,206],"computer":[7],"vision":[8],"that":[9,124,139],"has":[10],"been":[11],"extensively":[12],"researched":[13],"for":[14,83,148],"decades.":[15],"Tracking":[16],"objects":[17,38],"thermal":[19,84],"images":[20,85],"particularly":[22],"difficult":[23],"because":[24],"of":[25,28,39,44,80,94,97,115,136,156,187,195],"the":[26,40,45,55,61,70,95,109,126,150,157,207],"lack":[27],"color":[29],"information,":[30],"low":[31],"image":[32,110],"resolution,":[33],"or":[34],"high":[35],"similarity":[36],"between":[37,64],"same":[41],"class.":[42],"One":[43],"main":[46],"challenges":[47],"multi-object":[49],"tracking,":[50],"also":[51],"referred":[52],"to":[53,168,175],"as":[54,204],"data":[56,81,127,158],"association":[57,82,128,159],"problem,":[58],"finding":[60],"correct":[62],"correspondences":[63],"measurements":[65],"and":[66,68,112,145,171,190],"tracks":[67],"adapting":[69],"object":[71],"appearance":[72,100],"changes":[73],"over":[74],"time.":[75],"We":[76],"addressed":[77],"this":[78],"challenge":[79],"by":[86],"proposing":[87],"three":[88],"contributions.":[89],"The":[90,153],"first":[91],"contribution":[92],"consisted":[93],"creation":[96],"a":[98,133,176,184],"data-driven":[99,154],"score":[101,160],"using":[102],"five":[103],"Siamese":[104,151],"Networks,":[105],"which":[106],"operate":[107],"on":[108,113,197],"detection":[111],"parts":[114],"it.":[116],"Secondly,":[117],"we":[118,131],"engineered":[119],"original":[121],"edge-based":[122],"descriptor":[123],"improves":[125],"process.":[129],"Lastly,":[130],"proposed":[132],"dataset":[134],"consisting":[135],"pedestrian":[137],"instances":[138],"were":[140],"recorded":[141],"different":[143],"scenarios":[144,170],"are":[146],"used":[147],"training":[149],"Networks.":[152],"part":[155],"offers":[161,166],"robustness,":[162],"while":[163],"feature":[164],"engineering":[165],"adaptability":[167],"unknown":[169],"their":[172],"combination":[173],"leads":[174],"more":[177],"powerful":[178],"solution.":[180],"Our":[181],"approach":[182],"had":[183],"running":[185],"time":[186],"25":[188],"ms":[189],"achieved":[191],"average":[193],"precision":[194],"86.2%":[196],"publicly":[198],"available":[199],"benchmarks,":[200],"containing":[201],"real-world":[202],"scenarios,":[203],"shown":[205],"evaluation":[208],"section.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":11}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
