{“id”:“https://openalex.org/W2922305113网址“,”doi“:”https://doi.org/10.1109/wacv.2019.00137(网址:https://doi.org/10.1109/wacv.2019.00137)“,”title“:”ADA:用于对象检测的对手数据增强“,”display_name“:”ADA:用于目标检测的对手信息增强“,“publication_year”:2019,”publication_date“:”2019-01-01“,”ids“:{”openalex“:”https://openalex.org/W2922305113网址“,”doi“:”https://doi.org/10.109/wacv.2019.00137“,”mag“:”2922305113“},”language“:”en“,”primary_location“:{”is_oa“:false,”landing_page_url“:”https://doi.org/10.109/wacv.2019.00137“,”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/A5023212176“,”display_name“:”Sima Behpour“,”orcid“:null},”institutions“:[{”id“:”https://openalex.org/I39422238“,”display_name“:”芝加哥伊利诺伊大学“,”ror“:”https://ror.org/02mpq6x41“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I39422238“]}],”国家“:[“美国”],”is_corresponding“:false,”raw_author_name“:”Sima Behpour“,”raw _ afiliation_strings“:[”芝加哥伊利诺伊大学“],”从属关系“:[{”raw _affiliation_string“:”芝加哥伊利诺伊大学“,”institution_ids“:[https://openalex.org/I39422238“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5037322163“,”display_name“:”Kris Kitani“,”orcid“:”https://orcid.org/0000-0002-9389-4060},“机构”:[{“id”:https://openalex.org/I74973139“,”display_name“:”卡内基梅隆大学“,”ror“:”https://ror.org/05x2bcf33“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I74973139“]}],”国家“:[”美国“],”is_corresponding“:false,”raw_author_name“:”Kris M.Kitani“,”raw _affiliation_strings“:[“卡内基梅隆大学”],”affiliations“:[{”raw _affiliation_string“:”卡内基梅隆大学“,”institution_ids“:[https://openalex.org/I74973139“]}]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5024686404“,”display_name“:”Brian D.Ziebart“,”orcid“:”https://orcid.org/0000-0003-4041-6871},“机构”:[{“id”:https://openalex.org/I39422238“,”display_name“:”芝加哥伊利诺伊大学“,”ror“:”https://ror.org/02mpq6x41“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I39422238“]}],”国家“:[”美国“],”is_corresponding“:false,”raw_author_name“:”Brian D.Ziebart“,”raw _ afiliation_strings“:[“芝加哥伊利诺伊大学”],”affiliations“:[{”raw_ afiliation _string“:”芝加哥伊利诺依大学”,“institution_ids”:[”https://openalex.org/I39422238“]}]}],”institution_assertions“:[],”countries_distiction_count“:1,”institutions_disticent_count”:2,”corresponding_author_ids“:[[],”corresponding_institution_ids”:[]“apc_list”:null,”apc_payed“:null”,“fwci”:0.456,”has_fulltext_origin“:”ngrams“,”cited_by_count,“:9,”citation_normalized_percentile“:{”value“:0.7”36362,“is_in_top_1_percent“:false,”is_in_top_10_percennt“:false},”cited_by_percentile_year“:{”min“:85,”max“:86},“biblio”:{“volume”:null,“issue”:null:null,”first_page“:nullhttps://openalex.org/T10036“,”display_name“:”计算机视觉和图像识别深度学习“,”score“:0.9999,”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/T10036“,”display_name“:”计算机视觉和图像识别深度学习“,”score“:0.9999,”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/T11689“,”“display_name”:“深度学习模型中的对抗稳健性”,“score”:0.9998,“subfield”:{“id”:“https://openalex.org/subfields/s702“,”display_name“:”人工智能“},”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/T11307“,”display_name“:”转移学习和领域适应的进展“,”score“:0.9967,”subfield“:{”id“:”https://openalex.org/subfields/s702“,”display_name“:”人工智能“},”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“}}],”关键词“:[{”id“:”https://openalex.org/关键词/bounding-overwatch“,”“display_name”“:”掩护边界“,”分数“:0.62238425},{”id“:”https://openalex.org/keywords/minium-bounding-box网站“,”display_name“:”最小边界框“,”score“:0.5916304},{”id“:”https://openalex.org/keywords/pascal网站“,”display_name“:”Pascal(unit)“,”score“:0.5905325},{”id“:”https://openalex.org/keywords/object-detection网站“,”display_name“:”对象检测“,”score“:0.54234},{”id“:”https://openalex.org/keywords/representation-learning网站“,”display_name“:”表征学习“,”score“:0.521495},{”id“:”https://openalex.org/keywords/domain-adaptation网站“,”display_name“:”域适配“,”score“:0.520609},{”id“:”https://openalex.org/keywords/ammerialial-examples“,”display_name“:”对手示例“,”score“:0.517043},{”id“:”https://openalex.org/keywords/overfitting网站“,”display_name“:”过度匹配“,”score“:0.51061064},{”id“:”https://openalex.org/keywords/ground-truth网站“,”display_name“:”基本事实“,”score“:0.43239665},{”id“:”https://openalex.org/keywords/synthentic-data网站“,”display_name“:”合成数据“,”score“:0.4286706},{”id“:”https://openalex.org/keywords/euristics“,”display_name“:”启发式“,”score“:0.4260387}],”concepts“:[{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.6932114},{”id“:”https://openalex.org/C63584917,“wikidata”:https://www.wikidata.org/wiki/Q333286“,”display_name“:”Bounding overwatch“,”level“:2,”score“:0.62238425},{”id“:”https://openalex.org/C37736160,“wikidata”:https://www.wikidata.org/wiki/Q1801315“,”display_name“:”对抗系统“,”level“:2,”score“:0.603082},{”id“:”https://openalex.org/C147037132,“wikidata”:https://www.wikidata.org/wiki/Q6865426“,”display_name“:”最小边界框“,”level“:3,”score“:0.5916304},{”id“:”https://openalex.org/C75608658,“wikidata”:https://www.wikidata.org/wiki/Q44395“,”display_name“:”Pascal(unit)“,”level“:2,”score“:0.5905325},{”id“:”https://openalex.org/C2776151529,“wikidata”:https://www.wikidata.org/wiki/Q3045304“,”display_name“:”对象检测“,”级别“:3,”分数“:0.5491094},{”id“:”https://openalex.org/C22019652,“wikidata”:https://www.wikidata.org/wiki/Q331309“,”display_name“:”Overfitting“,”level“:3,”score“:0.51061064},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.4755808},{”id“:”https://openalex.org/C119857082,“wikidata”:https://www.wikidata.org/wiki/Q2539“,”display_name“:”机器学习“,”level“:1,”score“:0.46485388},{”id“:”https://openalex.org/C2781238097,“wikidata”:https://www.wikidata.org/wiki/Q175026“,”display_name“:”Object(grammar)“,”level“:2,”score“:0.4587607},{”id“:”https://openalex.org/C32407928,“wikidata”:https://www.wikidata.org/wiki/Q2733833“,”display_name“:”最佳响应“,”level“:3,”score“:0.44528502},{”id“:”https://openalex.org/C12713177,“wikidata”:https://www.wikidata.org/wiki/Q1900281“,”display_name“:”透视(图形)“,”level“:2,”score“:0.43317205},{”id“:”https://openalex.org/C146849305,“wikidata”:https://www.wikidata.org/wiki/Q370766“,”“display_name”“:”基本事实“,”级别“:2,”分数“:0.43239665},{”id“:”https://openalex.org/C160920958,“wikidata”:https://www.wikidata.org/wiki/Q7662746“,”display_name“:”合成数据“,”level“:2,”score“:0.4286706},{”id“:”https://openalex.org/C127705205,“wikidata”:https://www.wikidata.org/wiki/Q5748245“,”display_name“:”启发式“,”level“:2,”score“:0.4260387},{”id“:”https://openalex.org/C46814582,“wikidata”:https://www.wikidata.org/wiki/Q23389“,”display_name“:”纳什均衡“,”level“:2,”score“:0.3816658},{”id“:”https://openalex.org/C126255220,“wikidata”:https://www.wikidata.org/wiki/Q141495“,”display_name“:”数学优化“,”level“:1,”score“:0.33629957},{”id“:”https://openalex.org/C153180895,“wikidata”:https://www.wikidata.org/wiki/Q7148389“,”display_name“:”模式识别(心理学)“,”level“:2,”score“:0.22839475},{”id“:”https://openalex.org/C33923547,“wikidata”:https://www.wikidata.org/wiki/Q395“,”display_name“:”数学“,”等级“:0,”分数“:0.1647132},{”id“:”https://openalex.org/C115961682,“wikidata”:https://www.wikidata.org/wiki/Q860623“,”display_name“:”图像(数学)“,”level“:2,”score“:0.09834856},{”id“:”https://openalex.org/C50644808,“wikidata”:https://www.wikidata.org/wiki/Q192776“,”display_name“:”人工神经网络“,”level“:2,”score“:0.08714241},{”id“:”https://openalex.org/C199360897,“wikidata”:https://www.wikidata.org/wiki/Q9143“,”display_name“:”编程语言“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C111919701,“wikidata”:https://www.wikidata.org/wiki/Q9135“,”display_name“:”操作系统“,”level“:1,”score“:0.0}],”mesh“:[],”locations_count“:1.”locations“:[{”is_oa“:false,”landing_page_url“:”https://doi.org/10.109/wacv.2019.00137“,”pdf_url“:null,”source“:null,”license“:null:”license_id“:null,”version“:number,”is_accepted“:false,”is_published“:false}],”best_oa_location“:nul,”sustainable_development_goals“:[],”grants“:[],”datasets“:],”versions“:[]:”,“referenced_works_count”:53,“referrenced_works”:[”https://openalex.org/W1536680647","https://openalex.org/W1590693676","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W1921293667","https://openalex.org/W1963882359","https://openalex.org/W1994002998","https://openalex.org/W2003497265","https://openalex.org/W2006902452","https://openalex.org/W2016016818","https://openalex.org/W2037227137","https://openalex.org/W2041334360","https://openalex.org/W2047508432","https://openalex.org/W2076017598","https://openalex.org/W2099471712","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2113351146","https://openalex.org/W2121056381","https://openalex.org/W2146502635","https://openalex.org/W2149273804","https://openalex.org/W2155893237","https://openalex.org/W2157791002","https://openalex.org/W2163605009","https://openalex.org/W2185414105","https://openalex.org/W2186094539","https://openalex.org/W2194775991","https://openalex.org/W2274287116","https://openalex.org/W2304348237","https://openalex.org/W2395964374","https://openalex.org/W2398429633","https://openalex.org/W2543927648","https://openalex.org/W2595576831","https://openalex.org/W2605289356","https://openalex.org/W2605991684","https://openalex.org/W2613718673","https://openalex.org/W2746808752","https://openalex.org/W2765384636","https://openalex.org/W2788404266","https://openalex.org/W2804347066","https://openalex.org/W2900415410","https://openalex.org/W2962835968","https://openalex.org/W2963001136","https://openalex.org/W2963028646","https://openalex.org/W2963459241","https://openalex.org/W2963516811","https://openalex.org/W2963744840","https://openalex.org/W2998508934","https://openalex.org/W3004533406","https://openalex.org/W4250589301","https://openalex.org/W4300939921","https://openalex.org/W4320013936","https://openalex.org/W7746136“],”related_works“:[”https://openalex.org/W4362597605","https://openalex.org/W4322617773","https://openalex.org/W4298525700","https://openalex.org/W4210851927","https://openalex.org/W3089513339","https://openalex.org/W2953362004","https://openalex.org/W2949086864","https://openalex.org/W2625952574","https://openalex.org/W1689909837","https://openalex.org/W1495267108“],”abstract_inverted_index“:{”The“:[0],”use“:[1],”of“:[2,5,15,39,71,77,88111142154],”random“:[3,11],”扰动“:[4,87],”ground“:[6,90],”truth“:[7,91],”data“:+8],”such“:[9],”as“:[10],”translation“:[12],”or“:[13],”scaling“:[14],”bounding“:[16102],“boxes,”“:[17],”is“:[18,42,50],”a“:[19,62,68144],”common“:[20],”启发式“:[21],”used“:[22],”对于“:[23114151],”数据“:[24,40,72,92133184],”增强“:[25,41,73134185],”that“:[26,98120138],”has“:[27],”been“:[28],”shown“:[29],”to“:[30,52,82105180],”prevent“:[31],”overfitting“:[32],”and“:[33131162176],”improve“:[34148],”generalization。“:[35],”自“:[36],”该“:[37,75,89,94100108121152158181],”设计“:[38,56],”主要“:[43],”指导“:[44],”由“:[45172],”报告“:[46],”最佳“:[47182],”实践“:[48],”it“:[49],”困难“:[51],”理解“:[53],”如果“:[54],”那些“:[55],”选择“:[57],”是“:[58],“最佳。“:[59],“收件人”:[60],“提供”:[61],“更多”:[63],“原则性”:[64],“透视”:[65],“我们”:[66],“开发”:[67],“游戏理论”:[69122],“解释”:[70],“in”:[74],“上下文”:[76],“对象”:[78101155164],“检测”。“:[79156],“我们”:[80118136],“目标”:[81],“发现”:[83],“一个”:[84128],“最佳”:[85129132],“对抗”:[86140168],“(即:[93],“最坏”:[95],“情况”:[96],“扰动)”:[97],“力”:[99],“框”:[103],“预测”:[104130145],“学习”:[106],“来源”:[107],“困难”:[109],“分布”:[110],“扰动”:[112],“示例”:[113],“更好”:[115]测试时间“:[116149],”性能。“:[117],”建立“:[119],”解决方案“:[123],”(纳什“:[124],”均衡)“:[125],”提供“:[126],”两者“:[127],”分配。“:[135],”show“:[137],”our“:[139167],”method“:[141],”training“:[143],”can“:[146],”significate“:[147],”performance“:[150171],”task“:%153],”On“:/157],”ImageNet“:159],”Pascal“:+160],”VOC“:[161],”MS-COCO“:[163],”detection“:[165],”tasks“:[166],”approach“:169],”improved“:[170],“关于”:[173],“16%”:[174],“5%”:[175],“2%”:[177],“分别”:[178],“比较”:[179],“执行”:[183],“方法”:[186]},“引用的by_api_url”:“https://api.openalex.org/works?filter=cites:W2922305113“,”counts_by_year“:[{“年份”:2024,”cited_by_count“:1},{“年”:2023,”ciped_by_cunt“:2},”{“年度”:2021,“cited_by_count”:4},“年份”:2019,”cited_by_count?:2}],”updated_date“:”2024-09-18T03:58:45.658732“,”created_dates“:”2019-03-22“}