{"id":"https://openalex.org/W3206491331","doi":"https://doi.org/10.3390/s21206734","title":"A Cascaded Model Based on EfficientDet and YOLACT++ for Instance Segmentation of Cow Collar ID Tag in an Image","display_name":"A Cascaded Model Based on EfficientDet and YOLACT++ for Instance Segmentation of Cow Collar ID Tag in an Image","publication_year":2021,"publication_date":"2021-10-11","ids":{"openalex":"https://openalex.org/W3206491331","doi":"https://doi.org/10.3390/s21206734","mag":"3206491331","pmid":"https://pubmed.ncbi.nlm.nih.gov/34695947"},"language":"en","primary_location":{"id":"doi:10.3390/s21206734","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21206734","pdf_url":"https://www.mdpi.com/1424-8220/21/20/6734/pdf?version=1634016293","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/1424-8220/21/20/6734/pdf?version=1634016293","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100675367","display_name":"Kaixuan Zhao","orcid":"https://orcid.org/0000-0003-2598-5961"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaixuan Zhao","raw_affiliation_strings":["College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471023, China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087735248","display_name":"Ruihong Zhang","orcid":"https://orcid.org/0000-0002-1541-8835"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruihong Zhang","raw_affiliation_strings":["College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471023, China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006347648","display_name":"Jiangtao Ji","orcid":"https://orcid.org/0000-0003-0196-3135"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiangtao Ji","raw_affiliation_strings":["College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471023, China","institution_ids":["https://openalex.org/I167383011"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5006347648"],"corresponding_institution_ids":["https://openalex.org/I167383011"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.5977,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70069168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"21","issue":"20","first_page":"6734","last_page":"6734"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11226","display_name":"Milk Quality and Mastitis in Dairy Cows","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1102","display_name":"Agronomy and Crop Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9704999923706055,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/collar","display_name":"Collar","score":0.7379008531570435},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.63229900598526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6204704642295837},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.612672746181488},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5791224241256714},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5311110615730286},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5287895798683167},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5087786316871643},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.46855980157852173},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4607279300689697},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.41755861043930054},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4006536602973938},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16771793365478516},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1504371464252472},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12653732299804688},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11313506960868835},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10989236831665039},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09490135312080383}],"concepts":[{"id":"https://openalex.org/C2781448223","wikidata":"https://www.wikidata.org/wiki/Q1108904","display_name":"Collar","level":2,"score":0.7379008531570435},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.63229900598526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6204704642295837},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.612672746181488},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5791224241256714},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5311110615730286},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5287895798683167},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5087786316871643},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.46855980157852173},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4607279300689697},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.41755861043930054},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4006536602973938},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16771793365478516},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1504371464252472},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12653732299804688},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11313506960868835},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10989236831665039},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09490135312080383},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000072480","descriptor_name":"Farms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000072480","descriptor_name":"Farms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000072480","descriptor_name":"Farms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002417","descriptor_name":"Cattle","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002417","descriptor_name":"Cattle","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002417","descriptor_name":"Cattle","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008991","descriptor_name":"Monitoring, Physiologic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008991","descriptor_name":"Monitoring, Physiologic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008991","descriptor_name":"Monitoring, Physiologic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057233","descriptor_name":"Radio Frequency Identification Device","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057233","descriptor_name":"Radio Frequency Identification Device","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057233","descriptor_name":"Radio Frequency Identification Device","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21206734","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21206734","pdf_url":"https://www.mdpi.com/1424-8220/21/20/6734/pdf?version=1634016293","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:34695947","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34695947","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:5631ef2478b64cd19ec19f0903a71ed0","is_oa":true,"landing_page_url":"https://doaj.org/article/5631ef2478b64cd19ec19f0903a71ed0","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 20, p 6734 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/20/6734/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21206734","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 20; Pages: 6734","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8537616","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8537616","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/s21206734","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21206734","pdf_url":"https://www.mdpi.com/1424-8220/21/20/6734/pdf?version=1634016293","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":[],"awards":[{"id":"https://openalex.org/G721849306","display_name":null,"funder_award_id":"32002227","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3206491331.pdf","grobid_xml":"https://content.openalex.org/works/W3206491331.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1531418579","https://openalex.org/W2025741291","https://openalex.org/W2061340187","https://openalex.org/W2112796928","https://openalex.org/W2261633870","https://openalex.org/W2377773575","https://openalex.org/W2625513724","https://openalex.org/W2783152060","https://openalex.org/W2798307152","https://openalex.org/W2920326761","https://openalex.org/W2932376895","https://openalex.org/W2963150697","https://openalex.org/W2968530143","https://openalex.org/W2970636436","https://openalex.org/W2972791165","https://openalex.org/W2991290813","https://openalex.org/W2993182889","https://openalex.org/W3014652740","https://openalex.org/W3019811062","https://openalex.org/W3024193103","https://openalex.org/W3034971973","https://openalex.org/W3036293105","https://openalex.org/W3047032303","https://openalex.org/W3087184656","https://openalex.org/W3111704236","https://openalex.org/W3179560844","https://openalex.org/W3191600417","https://openalex.org/W6665458628"],"related_works":["https://openalex.org/W2391696634","https://openalex.org/W2387573677","https://openalex.org/W866837346","https://openalex.org/W2390760794","https://openalex.org/W830648795","https://openalex.org/W301772816","https://openalex.org/W4229706405","https://openalex.org/W1585745725","https://openalex.org/W2626252234","https://openalex.org/W2353549783"],"abstract_inverted_index":{"In":[0,148],"recent":[1],"years,":[2],"many":[3],"imaging":[4],"systems":[5,23,35],"have":[6,26],"been":[7],"developed":[8],"to":[9,29,37,44,90,106,120,127,177,206,223,270],"monitor":[10],"the":[11,27,34,63,76,108,113,122,125,129,133,137,146,181,189,193,199,209,213,219,229,235,249,261,278],"physiological":[12],"and":[13,61,92,115,151,179,208,234,266,275],"behavioral":[14],"status":[15],"of":[16,21,69,112,124,132,145,154,169,192,212,228,238,248,260],"dairy":[17],"cows.":[18],"However,":[19],"most":[20],"these":[22],"do":[24],"not":[25],"ability":[28],"identify":[30,56],"individual":[31,48],"cows":[32,155],"because":[33],"need":[36],"cooperate":[38],"with":[39,156],"radio":[40],"frequency":[41],"identification":[42],"(RFID)":[43],"collect":[45],"information":[46],"about":[47],"animals.":[49],"The":[50,185,225,246],"distance":[51],"at":[52,163],"which":[53,160],"RFID":[54],"can":[55],"a":[57,67,81,94,142,239],"target":[58],"is":[59,72,256,268],"limited,":[60],"matching":[62],"identified":[64],"targets":[65],"in":[66,99,172,253,272],"scenario":[68],"multitarget":[70],"images":[71,153],"difficult.":[73],"To":[74],"solve":[75],"above":[77],"problems,":[78],"we":[79],"constructed":[80],"cascaded":[82,86,230,250],"method":[83],"based":[84],"on":[85],"deep":[87],"learning":[88],"models,":[89,183,265],"detect":[91,107],"segment":[93,121],"cow":[95],"collar":[96,138,157],"ID":[97,109,134,158],"tag":[98,110,126,135],"an":[100],"image.":[101,147],"First,":[102],"EfficientDet-D4":[103,194],"was":[104,118,204,221,232,243],"used":[105,119,176],"area":[111,123,139],"image,":[114],"then,":[116],"YOLACT++":[117,214],"realize":[128],"accurate":[130],"segmentation":[131,264],"when":[136,198,218],"accounts":[140],"for":[141],"small":[143],"proportion":[144],"total,":[149],"938":[150],"406":[152],"tags,":[159],"were":[161,175],"collected":[162],"Coldstream":[164],"Research":[165],"Dairy":[166],"Farm,":[167],"University":[168],"Kentucky,":[170],"USA,":[171],"August":[173],"2016,":[174],"train":[178],"test":[180],"two":[182],"respectively.":[184],"results":[186],"showed":[187],"that":[188,259],"average":[190,210],"precision":[191,211],"model":[195,215,231,251],"reached":[196,216],"96.5%":[197],"intersection":[200],"over":[201],"union":[202],"(IoU)":[203],"set":[205,222],"0.5,":[207],"100%":[217],"IoU":[220],"0.75.":[224],"overall":[226],"accuracy":[227],"96.5%,":[233],"processing":[236],"time":[237],"single":[240],"frame":[241],"image":[242],"1.92":[244],"s.":[245],"performance":[247],"proposed":[252],"this":[254],"paper":[255],"better":[257],"than":[258],"common":[262],"instance":[263],"it":[267],"robust":[269],"changes":[271],"brightness,":[273],"deformation,":[274],"interference":[276],"around":[277],"tag.":[279]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
