{“id”:“https://openalex.org/W2901442382“,”doi“:”https://doi.org/10.1016/j.neucom.2018.11.051“,”title“:“高分辨率遥感图像分割的编解码框架问题:结构刻板印象和学习不足”,”display_name“:”高分辨率遥感影像分割的编解码器框架问题:结构性刻板印象与学习不足“,”publication_year“:2019,”publication_date“:”2019-02-01“,”ids“:{”openalex“:”https://openalex.org/W2901442382“,”doi“:”https://doi.org/10.1016/j.neucom.2018.11.051“,”mag“:”2901442382“},”language“:”en“,”primary_location“:{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1016/j.neucom.2018.11.051“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S45693802“,”display_name“:”Neurocomputing“,”issn_l“:”0925-2312“,”isn“:[”0925-2312“,”1872-8286“],”is_oa“:false,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/P4310320990“,”“host_organization_name”:“Elsevier BV”,“host_organization_lineage”:[“https://openalex.org/P4310320990“],”host_organization_lineage_names“:[”Elsevier BV“],“type”:“journal”},“license”:null,“licence_id”:null,“version”:null,“is_accepted”:false,“is_published”:false},”type“:”article“,”type_crossref“:“jornal-article”,“indexed_in”:[”crossref“],pository_has_fulltext“:false},”authorships“:[{”author_position“:”first“,”author“:{”id“:”https://openalex.org/A5026251625“,”display_name“:”伊桑“,”兽人“:”https://orcid.org/0000-0001-5481-7380},“机构”:[{“id”:https://openalex.org/I47720641“,”display_name“:”华中科技大学“,”ror“:”https://ror.org/00p991c53“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I47720641“]}],”国家“:[”CN“],”is_corresponding“:true,”raw_author_name“:”孙毅“,”rau_affiliation_strings“:[“华中科技大学电子信息与通信学院多光谱信息处理国家重点实验室,武汉430074”]},{“author_position”:“middle”,“作者“:{”id“:”https://openalex.org/A5043420125“,”display_name“:”燕天“,”兽人“:”https://orcid.org/0000-0002-3770-0604},“机构”:[{“id”:https://openalex.org/I47720641“,”display_name“:”华中科技大学“,”ror“:”https://ror.org/00p991c53“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I47720641“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”严天“,”raw_affiation_strings“:[”华中科技大学电子信息与通信学院多光谱信息处理科学技术国家重点实验室,中国武汉430074“]},{”author_position“:”last“,”作者“:{”id“:”https://openalex.org/A5004269762“,”display_name“:”徐一平“,”兽人“:”https://orcid.org/0000-0002-7764-0941},“机构”:[{“id”:https://openalex.org/I47720641“,”display_name“:”华中科技大学“,”ror“:”https://ror.org/00p991c53“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I47720641“]},{”id“:”https://openalex.org/I2802615301“,”display_name“:”中国航天科技集团公司“,”ror“:”https://ror.org/01z8tr155“,”country_code“:”CN“,”type“:“政府”,”世系“:[”https://openalex.org/I2802615301“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”徐一平“,”raw关联字符串“:[“航天智能控制科学技术国家重点实验室,北京100854”,“华中科技大学电子信息与通信学院多光谱信息处理国家重点实验室,武汉430074“]}],”countries_distict_count“:1,”institutions_disticent_count“:2,”corresponding_author_ids“:[”https://openalex.org/A5026251625“],”对应的机构ID“:[”https://openalex.org/I47720641“],”apc_list“:{”value“:2470,”currency“:”USD“,”value_USD“:2470',”provenance“:”doaj“},”apc _payed“:{”value”:2470,”currentary“:”美元“,”value_USD”:2470、“provenance”:“doaj”},“has_fulltext”:true,“fulltext_origin”:“ngrams”,“cited_by_count”:65,“citected_by_percentile_year”:{“min”:98,“max”:99},“biblio”:{“volume”:“330”,“issue”:null,“first_page”:“297”,“last_page”:304“},”is_retracted“:false,”is_paratext“:false,”primary_topic“:{”id“:”https://openalex.org/T10036“,”display_name“:”计算机视觉和图像识别深度学习“,”score“:0.999,”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“:0.999,”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/T11307“,”display_name“:”转移学习和领域适应的进展“,”score“:0.9984,”subfield“:{”id“:”https://openalex.org/subfields/1702“,”display_name“:”Artificial Intelligence“},”field“:{”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/T12535“,”“display_name”:“机器学习中带噪声标签的学习”,“score”:0.9966,“subfield”:{“id”:“https://openalex.org/subfields/1702“,”display_name“:”Artificial Intelligence“},”field“:{”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/keywords/representation-learning网站“,”display_name“:”表征学习“,”score“:0.515954},{”id“:”https://openalex.org/keywords/robust-learning“,”display_name“:”稳健学习“,”score“:0.501769}],”concepts“:[{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.80361366},{”id“:”https://openalex.org/C118505674,“wikidata”:https://www.wikidata.org/wiki/Q42586063“,”display_name“:”编码器“,”level“:2,”score“:0.686762},{”id“:”https://openalex.org/C89600930,“wikidata”:https://www.wikidata.org/wiki/Q1423946“,”display_name“:”Segmentation“,”level“:2,”score“:0.6626809},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.65528758},{”id“:”https://openalex.org/C185798385,“wikidata”:https://www.wikidata.org/wiki/Q1161707“,”display_name“:”基准(测量)“,”level“:2,”score“:0.6424434},{”id“:”https://openalex.org/C2776214188,“wikidata”:https://www.wikidata.org/wiki/Q408386“,”display_name“:”推断“,”级别“:2,”分数“:0.57715976},{”id“:”https://openalex.org/C108583219,“wikidata”:https://www.wikidata.org/wiki/Q197536“,”display_name“:”深度学习“,”level“:2,”score“:0.53575623},{”id“:”https://openalex.org/C81363708,“wikidata”:https://www.wikidata.org/wiki/Q17084460“,”display_name“:”卷积神经网络“,”level“:2,”score“:0.518998},{”id“:”https://openalex.org/C168127410,“wikidata”:https://www.wikidata.org/wiki/Q1754331“,”display_name“:”Stereotype(UML)“,”level“:2,”score“:0.43695965},{”id“:”https://openalex.org/C119857082,“wikidata”:https://www.wikidata.org/wiki/Q2539“,”display_name“:”机器学习“,”level“:1,”score“:0.3901402},{”id“:”https://openalex.org/C153180895,“wikidata”:https://www.wikidata.org/wiki/Q7148389“,”display_name“:”模式识别(心理学)“,”level“:2,”score“:0.38487625},{”id“:”https://openalex.org/C31972630,“wikidata”:https://www.wikidata.org/wiki/Q844240“,”display_name“:”计算机视觉“,”level“:1,”score“:0.36895332},{”id“:”https://openalex.org/C115903868,“wikidata”:https://www.wikidata.org/wiki/Q80993“,”display_name“:”软件工程“,”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},{”id“:”https://openalex.org/C13280743,“wikidata”:https://www.wikidata.org/wiki/Q131089“,”display_name“:”大地测量学“,”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}],”mesh“:[],”locations_count“:1,”location“:[{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1016/j.neucom.2018.11.051“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S45693802“,”display_name“:”Neurocomputing“,”issn_l“:”0925-2312“,”isn“:[”0925-2312“,”1872-8286“],”is_oa“:false,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/P4310320990“,”“host_organization_name”:“Elsevier BV”,“host_organization_lineage”:[“https://openalex.org/P4310320990“],”host_organization_lineage_names“:[”Elsevier BV“],“type”:“journal”},“license”:null,“licence_id”:null,“version”:null,“is_accepted”:false,“is_published”:false}],“best_oa_location”:nul,“sustainable_development_goals”:[],“grants”:[],“datasets”:【】,“versions”:[】,“referenced_works_count”:19,“referrenced_works”:https://openalex.org/W1903029394","https://openalex.org/W2022508996","https://openalex.org/W2037227137","https://openalex.org/W2095705004","https://openalex.org/W2112796928","https://openalex.org/W2158305599","https://openalex.org/W2186222003","https://openalex.org/W2484692031","https://openalex.org/W2536614103","https://openalex.org/W2610528085","https://openalex.org/W2620429297","https://openalex.org/W2749439257","https://openalex.org/W2783165089","https://openalex.org/W2901376382","https://openalex.org/W2963881378","https://openalex.org/W3106090851","https://openalex.org/W3143763605网址","https://openalex.org/W4236965008","https://openalex.org/W4301409532“],”related_works“:[”https://openalex.org/W972276598","https://openalex.org/W4321353415","https://openalex.org/W4246352526","https://openalex.org/W4230315250","https://openalex.org/W2745001401","https://openalex.org/W2378211422","https://openalex.org/W2130974462","https://openalex.org/W2087343574","https://openalex.org/W2086519370","https://openalex.org/W2028665553“],”ngrams_url“:”https://api.openalex.org/works/W2901442382/ngrams网站“,”“abstract_inverted_index”:{“This”:[0],“work”:[1],“explorers”:[2],“the”:[3,60,77,81,92104125],“use”:[4],“of”:[5,46,63,95106],“deep”:[6],“卷积”:[7],“neural”:[8,55],“networks”:[9,56],“for”:[10115],“high”:[11],“resolution”:[12],“remote”:%13],“sensing”:[14],“图像”:[15],“分割”:[16,24],“编码器-解码器”:[17],“框架”:[18],“是“:[19,76],”流行“:[20],”in“:[21,43],”语义“:[22128],”图像“:[23],”然而,“:[25],”编码器-解码器“:[26116],”模型“:[27],”面部“:[28],“两个”:[29],”主要“:[30],”问题。“:[31],”The“:[32,48118],”one“:[33],”is“:[34,38,50],”structural“:[35,96],”stereotype“:[36,67,97],”which“:[37],”receptive“:[39],”fields“:[40],”inbalance“:[41],”rooted“:[42],”this“:44],”kind“:[45],”frameworks“。“:[47],”其他“:[49],”不足“:[51107],”学习“:[52,71],”那“:[53],”更深“:[54],”趋向“:[57],”to“:[58,69,79,90],”遭遇“:[59],”臭名昭著“:[61],”问题“:[62,82105],”消失“:[64],”渐变。“:[65],”结构“:[66],”引导“:[68],”不公平“:[70],”和“:[72,83,87],”非均匀“:[73],”推理。“:[74],“我们”:[75],“第一”:[78],“揭示”:[80],“提议”:[84110],“集合”:[85],“训练”:[86],“推断”:[88],“策略”:[89],“压制”:[91],“不利”:[93],“后果”:[94],“作为”:[98100],“远”:[99],“可能”。“:[101],“To”:[102],“release”:[103],“learning”:[108],“we”:%109],“a”:[111],“novel”:+112],“remainment”:[113],“architecture”:[114],“models”。“:[117],”提议“:[119],”方法“:[120],”收益率“:[121],”最先进“:[122],”性能“:[123],”on“:[124],”ISPRS“:[126],”2D“:[127],”标签“:[129],”竞赛“:[130],”基准。“:[131]},”引用_by_api_url“:”https://api.openalex.org/works?filter=cites:W2901442382“,”counts_by_year“:[{“年”:2024,”cited_by_count“:4},{“年份”:2023,”ciped_by_cunt“:16},”{“年度”:2022,“cited_by_count”:20},“年份”:2021,”cited_by_count