{“id”:“https://openalex.org/W2891853467“,”doi“:”https://doi.org/10.1145/3240876.3240879“,”title“:“带有多任务CNN模型接头的框架,具有车辆重新标识的重新标记方法”,“display_name”:“带有车辆重新标识重新标记方法的多任务CNM模型接头的架构”,“publication_year”:2018,“publiation_date”:“2018-08-17”,“ids”:{“openalex”:“https://openalex.org/W2891853467“,”doi“:”https://doi.org/10.1145/3240876.3240879“,”mag“:”2891853467“},”language“:”en“,”primary_location“:{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1145/3240876.3240879“,”pdf_url“:null,”source“:null,”license“:null',”licence_id“:null,”version“:nuller,”is_accepted“:false,”is_published“:false},”type“:”article“,”type_crossref“:“procesdings-article”,”indexed_in“:[”crossref“],”open_access“:{”is_oa“:false,”oa_status“:”closed“,”oa_url”:null“,”any_repository_has_fulltext“:false}”,”authorships“:[{”author_position“:”first“,”作者“:{”id“:”https://openalex.org/A5100580491“,”display_name“:”Dongwu Xu“,”orcid“:null},”institutions“:[{”id“:”https://openalex.org/I21193070“,”display_name“:”北京交通大学“,”ror“:”https://ror.org/01yj56c84“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I21193070“]}],”countries“:[”CN“],”is_corresponding“:false,”raw_author_name“:”Dongwu Xu“,”raw _ afiliation_strings“:【”北京交通大学,北京,中国“】,”affiliations“:[{”raw_ afiliation _string“:”北京交通学院,中国北京“,”institution_ids“:[“https://openalex.org/I21193070“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5023442981“,”display_name“:”从严郎“,”兽人“:”https://orcid.org/0000-0001-6059-7943},“机构”:[{“id”:https://openalex.org/I21193070“,”display_name“:”北京交通大学“,”ror“:”https://ror.org/01yj56c84“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I21193070“]}],”countries“:[”CN“],”is_corresponding“:false,”raw_author_name“:”Congyan Lang“,”raw _ afiliation_strings“:【”北京交通大学,中国北京“】,”affiliations“:[{”raw_ afiliation _string“:”北京交通学院,中国北京”,“institution_ids”:[“https://openalex.org/I21193070“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5085406955“,”display_name“:”宋鹤峰“,”兽人“:”https://orcid.org/0000-0002-5922-9358},“机构”:[{“id”:https://openalex.org/I21193070“,”display_name“:”北京交通大学“,”ror“:”https://ror.org/01yj56c84“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I21193070“]}],”countries“:[”CN“],”is_corresponding“:false,”raw_author_name“:”Songhe Feng“,”raw _affiliation_strings“:【”北京交通大学,中国北京“】,”affiliations“:[{”raw _affiliation_string“:”北京交通学院,中国北京”,“institution_ids”:【”https://openalex.org/I21193070“]}]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5100453676“,”display_name“:”Tao Wang“,”orcid“:”https://orcid.org/0000-0003-2369-2129},“机构”:[{“id”:https://openalex.org/I21193070“,”display_name“:”北京交通大学“,”ror“:”https://ror.org/01yj56c84“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I21193070“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”Tao Wang“,”raw _affiliation_strings“:[“北京交通大学,中国北京”],”affiliations“:[{”raw_affiliation_string“:”北京交通大学https://openalex.org/I21193070“]}]}],”countries_distinct_count“:1,”institutions_disting_count”:1,“corresponding_author_ids”:[],”correspounding_institution_ids“:[]、”apc_list“:null,”apc_payed“:null,”fwci“:0.086,”has_fulltext“:true,”fulltext_origin“:”ngrams“,”cited_by_count:2,”citation_normalized_percentile“:{”value“:0.233538,”is_in_top_1_percent“:false,”is_in_top_10_percent“:false},”cited_by_percentile_year“:{”min“:71,”max“:75},“biblio”:{“volume”:null,“issue”:nul,“first_page”:null,“last_page”:null},,“is_retracted”:false,“is_paratext”:false,“primary_topic”:{“id”:“https://openalex.org/T10331“,”display_name“:”可视对象跟踪和人员重新识别“,”score“:1.0,”subfield“:{”id“:”https://openalex.org/subfields/1707“,”display_name“:”计算机视觉和模式识别“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T10331“,”display_name“:”可视对象跟踪和人员重新识别“,”score“:1.0,”subfield“:{”id“:”https://openalex.org/subfields/1707“,”display_name“:”计算机视觉和模式识别“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T10036“,”display_name“:”计算机视觉和图像识别深度学习“,”score“:0.9986,”subfield“:{”id“:”https://openalex.org/subfields/1707“,”display_name“:”计算机视觉和模式识别“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T11099“,”“display_name”:“自动车辆技术和安全系统”,“score”:0.9963,“subfield”:{“id”:“https://openalex.org/subfields/2203“,”display_name“:”汽车工程“},”字段“:{”id“:”https://openalex.org/fields/22“,”display_name“:”Engineering“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/discriminative-model(https://openalex.org/keywords/discriminative-model)“,”display_name“:”鉴别模型“,”score“:0.8821672},{”id“:”https://openalex.org/keywords/identification网站“,”display_name“:”Identification(biology)“,”score“:0.6181458},{”id“:”https://openalex.org/keywords/多对象跟踪“,”display_name“:”多对象跟踪“,”score“:0.549497},{”id“:”https://openalex.org/keywords/feature网站“,”display_name“:”功能(语言学)“,”分数“:0.54342127},{”id“:”https://openalex.org/keywords/person-re-identification“,”display_name“:”人员重新识别“,”score“:0.541882},{”id“:”https://openalex.org/keywords/lane-detection网站“,”display_name“:”车道检测“,”score“:0.535145},{”id“:”https://openalex.org/keywords/object-detection网站“,”display_name“:”Object Detection“,”score“:0.515719},{”id“:”https://openalex.org/keywords/image-re认知“,”display_name“:”图像识别“,”score“:0.51174}],”concepts“:[{”id“:”https://openalex.org/C97931131,“wikidata”:https://www.wikidata.org/wiki/Q5282087(网址:https://www.wikidata.org/wiki/Q5282087)“,”display_name“:”鉴别模型“,”level“:2,”score“:0.8821672},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.8144799},{”id“:”https://openalex.org/C81363708,“wikidata”:https://www.wikidata.org/wiki/Q17084460“,”display_name“:”卷积神经网络“,”level“:2,”score“:0.74953294},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.6635344},{”id“:”https://openalex.org/C189430467,“wikidata”:https://www.wikidata.org/wiki/Q7293293“,”display_name“:”排名(信息检索)“,”级别“:2,”分数“:0.6516799},{”id“:”https://openalex.org/C116834253,“wikidata”:https://www.wikidata.org/wiki/Q2039217“,”display_name“:”Identification(biology)“,”level“:2,”score“:0.6181458},{”id“:”https://openalex.org/C119857082,“wikidata”:https://www.wikidata.org/wiki/Q2539(网址:https://www.wikidata.org/wiki/Q2539)“,”display_name“:”机器学习“,”level“:1,”score“:0.5854125},{”id“:”https://openalex.org/C2780451532,“wikidata”:https://www.wikidata.org/wiki/Q759676“,”display_name“:”Task(project management)“,”level“:2,”score“:0.5501132},{”id“:”https://openalex.org/C153180895,“wikidata”:https://www.wikidata.org/wiki/Q7148389“,”display_name“:”模式识别(心理学)“,”level“:2,”score“:0.54653466},{”id“:”https://openalex.org/C2776401178,“wikidata”:https://www.wikidata.org/wiki/Q12050496“,”display_name“:”功能(语言学)“,”级别“:2,”分数“:0.54342127},{”id“:”https://openalex.org/C165064840,“wikidata”:https://www.wikidata.org/wiki/Q1321061“,”display_name“:”Matching(statistics)“,”level“:2,”score“:0.54067755},{”id“:”https://openalex.org/C52622490,“wikidata”:https://www.wikidata.org/wiki/Q1026626“,”display_name“:”特征提取“,”level“:2,”score“:0.50177646},{”id“:”https://openalex.org/C124101348,“wikidata”:https://www.wikidata.org/wiki/Q172491网址“,”display_name“:”数据挖掘“,”level“:1,”score“:0.36802214},{”id“:”https://openalex.org/C127413603,“wikidata”:https://www.wikidata.org/wiki/Q11023“,”display_name“:”Engineering“,”level“:0,”score“:0.07950187},{”id“:”https://openalex.org/C33923547,“wikidata”:https://www.wikidata.org/wiki/Q395“,”display_name“:”数学“,”等级“:0,”分数“:0.055464476},{”id“:”https://openalex.org/C41895202,“wikidata”:https://www.wikidata.org/wiki/Q8162“,”display_name“:”语言学“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C138885662,“wikidata”:https://www.wikidata.org/wiki/Q5891“,”display_name“:”哲学“,”等级“:0,”分数“: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/C105795698,“wikidata”:https://www.wikidata.org/wiki/Q12483“,”display_name“:”Statistics“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C201995342,“wikidata”:https://www.wikidata.org/wiki/Q682496“,”display_name“:”系统工程“,”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}],”mesh“:[],”locations_count“:1,”location“:[{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1145/3240876.3240879“,”pdf_url“:null,”source“:null,”license“:null,”liccense_id“:nuld,”version“:nully,”is_accepted“:false,”is_published“:false}],”best_oa_location“:nul,”sustainable_development_goals“:[{”score“:0.73,”display_name“:”Reduced不等式“,”id“:”https://metadata.un.org/sdg/10“}],”grants“:[],”datasets“:[],”versions“:[】,”referenced_works_count“:26,”referrenced_works“:【”https://openalex.org/W1928419358","https://openalex.org/W1963882359","https://openalex.org/W1979260620","https://openalex.org/W1979387426","https://openalex.org/W1982925187","https://openalex.org/W2046835352","https://openalex.org/W2050461393","https://openalex.org/W2052184388","https://openalex.org/W2135442311","https://openalex.org/W2138621090","https://openalex.org/W2339827301","https://openalex.org/W2342611082","https://openalex.org/W2343912161","https://openalex.org/W2470322391","https://openalex.org/W2512434173","https://openalex.org/W2519338267","https://openalex.org/W2519904008","https://openalex.org/W2520433280","https://openalex.org/W2531440880","https://openalex.org/W2750699122","https://openalex.org/W2755687291","https://openalex.org/W2791003324","https://openalex.org/W2952941004","https://openalex.org/W2953066166","https://openalex.org/W2963977416","https://openalex.org/W3098711604网址“],”related_works“:[”https://openalex.org/W4389116644","https://openalex.org/W4205463238","https://openalex.org/W3103844505","https://openalex.org/W2981954115","https://openalex.org/W2965546495","https://openalex.org/W259157601","https://openalex.org/W2521627374","https://openalex.org/W2153315159","https://openalex.org/W2110523656","https://openalex.org/W1482209366“],”abstract_inverted_index“:{“最近”:[0],”with“:[1,67140],”the“:[2,17,79,87,90108111115118123134147],”number“:[3],”of“:[4,89100110114137142],”surveillance“:[5],”cameras“:[6],”growing“:[7],”rapidly“:[8],”vehicle“:[9,24101],”re-identitation“:[10],”(re-id)“:[11],”plays“:[12],“a”:[13,64,68,73,96],“major”:[14],“part”:[15],“in”:[16],“流量”:[18],“监视”:[19],“大多数”:[20],“退出”:[21],“方法”:[22],“用于”:[23],“re-id”:[25,80],“are”:[26128],“主要”:[27],“聚焦”:[28],”on“:[29152],“单一”:[30,45],“卷积”:[31],“神经”:[32],“网络”:[33],“(CNN)”:[34],“模型”:[35,40,0,46,71,85],“即”:[36],“标识”:[37],“或”:[38],“验证”:[39],“to”:[41,77121131],“extract”:[42,55],“features.”:[43],“However,”:[44],“has”:[47],“their”:[48],“own”:[49],“distributes”:[50],“and”:[51,72117144157],“it”:[52],“can”:[53,94],“not”:【54】,“enough”:【56】,“discriminative”:[57,98],“feature.”:【58】,“In”:59],“this”:【59】60],“工作”:[61],“我们”:[62],“提议”:[63],“新”:[65],“框架”:[66139],“多任务”:[69,83],“CNN”:[70,84],“排名”:[74104125149],“优化”:[75105],“方法”:[76106],“解决”:[78],“任务”:[81],“The”:[82103],“组合”:[86],“优势”:[88],“两个”:[91153],“模型”:[92],“which”:[93],“get”:[95],“more”:[97],“feature”:[99],“image.”:[102],“利用”:[107],关系“:[109],“k-最近”:[112],“邻居”:[113],“探测”:[116],“图库”:[119],“图像”:[120],“优化”:[122],“最终”:[124],“列表”:[126],“实验”:[127],“携带”:[129],“输出”:[130],“演示”:[132],“那”:[133],“好”:[135],“性能”:[136],“我们的”:[138],“改进”:[141],“1.5%”:[143],“20%”:[145],“在”:[146],“top”:[148],匹配“:[150],”准确性“:[151],”主流“:[154],”数据集“:[155],”VeRi“:[156],“车辆ID。”:[158]},“cited_by_api_url”:“https://api.openalex.org/works?filter=引用:W2891853467“,”counts_by_year“:[{”年份“:2021,”cited_by_count“:1},{”年“:2019,”cited_by_count”:1}],”更新日期“:”2024-08-31T10:50:17.850630“,”创建日期“:“2018-09-27”}