乐胖代购免代理版

{"id":"https://openalex.org/W2993235622","doi":"https://doi.org/10.1109/iccv.2019.00926","title":"Expectation-Maximization Attention Networks for Semantic Segmentation","display_name":"Expectation-Maximization Attention Networks for Semantic Segmentation","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2993235622","doi":"https://doi.org/10.1109/iccv.2019.00926","mag":"2993235622"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2019.00926","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"2021 IEEE/CVF International Conference on Computer Vision (ICCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://openaccess.thecvf.com/content_ICCV_2019/papers/Li_Expectation-Maximization_Attention_Networks_for_Semantic_Segmentation_ICCV_2019_paper.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100445616","display_name":"Xia Li","orcid":"https://orcid.org/0000-0003-2284-1700"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"funder","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Li","raw_affiliation_strings":["Key Laboratory of Machine Perception (MOE), School of EECS, Peking University","Key Laboratory of Machine Perception, Shenzhen Graduate School, Peking University"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (MOE), School of EECS, Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception, Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020439939","display_name":"Zhisheng Zhong","orcid":"https://orcid.org/0000-0002-0859-3846"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"funder","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhisheng Zhong","raw_affiliation_strings":["Key Laboratory of Machine Perception (MOE), School of EECS, Peking University"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (MOE), School of EECS, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654190","display_name":"Jianlong Wu","orcid":"https://orcid.org/0000-0003-0247-5221"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"funder","lineage":["https://openalex.org/I80143920"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"funder","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianlong Wu","raw_affiliation_strings":["Key Laboratory of Machine Perception (MOE), School of EECS, Peking University","School of Computer Science and Technology, Shandong University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception (MOE), School of EECS, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103072699","display_name":"Yibo Yang","orcid":"https://orcid.org/0000-0003-0530-7231"},"institutions":[{"id":"https://openalex.org/I4210137189","display_name":"Center for Interdisciplinary Studies","ror":"https://ror.org/03whr7s66","country_code":"IN","type":"facility","lineage":["https://openalex.org/I4210137189"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"funder","lineage":["https://openalex.org/I20231570"]}],"countries":["CN","IN"],"is_corresponding":false,"raw_author_name":"Yibo Yang","raw_affiliation_strings":["Academy for Advanced Interdisciplinary Studies, Peking University"],"affiliations":[{"raw_affiliation_string":"Academy for Advanced Interdisciplinary Studies, Peking University","institution_ids":["https://openalex.org/I4210137189","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016399094","display_name":"Zhouchen Lin","orcid":"https://orcid.org/0000-0003-1493-7569"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"funder","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhouchen Lin","raw_affiliation_strings":["Key Laboratory of Machine Perception (MOE), School of EECS, Peking University"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (MOE), School of EECS, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100410326","display_name":"Hong Liu","orcid":"https://orcid.org/0000-0002-7498-6541"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"funder","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Liu","raw_affiliation_strings":["Key Laboratory of Machine Perception, Shenzhen Graduate School, Peking University"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.271,"has_fulltext":false,"cited_by_count":551,"citation_normalized_percentile":{"value":0.999886,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"9166","last_page":"9175"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.999,"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":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9985,"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/pascal","display_name":"Pascal (unit)","score":0.81496704},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.61503565},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization","score":0.42916209}],"concepts":[{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.81496704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7359029},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.61503565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49246392},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.47788942},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4491345},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.42916209},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39522764},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30819798},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17700687},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.1367996},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10533494},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2019.00926","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"2021 IEEE/CVF International Conference on Computer Vision (ICCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://openaccess.thecvf.com/content_ICCV_2019/papers/Li_Expectation-Maximization_Attention_Networks_for_Semantic_Segmentation_ICCV_2019_paper.pdf","pdf_url":"https://openaccess.thecvf.com/content_ICCV_2019/papers/Li_Expectation-Maximization_Attention_Networks_for_Semantic_Segmentation_ICCV_2019_paper.pdf","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1907.13426","pdf_url":"https://arxiv.org/pdf/1907.13426","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://openaccess.thecvf.com/content_ICCV_2019/papers/Li_Expectation-Maximization_Attention_Networks_for_Semantic_Segmentation_ICCV_2019_paper.pdf","pdf_url":"https://openaccess.thecvf.com/content_ICCV_2019/papers/Li_Expectation-Maximization_Attention_Networks_for_Semantic_Segmentation_ICCV_2019_paper.pdf","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":41,"referenced_works":["https://openalex.org/W1489608363","https://openalex.org/W1677182931","https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2031489346","https://openalex.org/W2038885294","https://openalex.org/W2049633694","https://openalex.org/W2117539524","https://openalex.org/W2125215748","https://openalex.org/W2133564696","https://openalex.org/W2194775991","https://openalex.org/W2558580397","https://openalex.org/W2560023338","https://openalex.org/W2561196672","https://openalex.org/W2563705555","https://openalex.org/W2598666589","https://openalex.org/W2630837129","https://openalex.org/W2743554749","https://openalex.org/W2777737607","https://openalex.org/W2787091153","https://openalex.org/W2798791840","https://openalex.org/W2799166040","https://openalex.org/W2884068670","https://openalex.org/W2892220259","https://openalex.org/W2895340641","https://openalex.org/W2895420332","https://openalex.org/W2949117887","https://openalex.org/W2955058313","https://openalex.org/W2963091558","https://openalex.org/W2963318290","https://openalex.org/W2963403868","https://openalex.org/W2963446712","https://openalex.org/W2963727650","https://openalex.org/W2963728677","https://openalex.org/W2963815618","https://openalex.org/W2963977677","https://openalex.org/W2964091144","https://openalex.org/W2964308564","https://openalex.org/W2964309882","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W4287775803","https://openalex.org/W4286681602","https://openalex.org/W3209312100","https://openalex.org/W3027282085","https://openalex.org/W2944728705","https://openalex.org/W2591697403","https://openalex.org/W2100576949","https://openalex.org/W2069133146","https://openalex.org/W2017545316","https://openalex.org/W1663079876"],"abstract_inverted_index":{"Self-attention":[0],"mechanism":[1,61],"has":[2],"been":[3],"widely":[4],"used":[5],"for":[6,35],"various":[7],"tasks.":[8,38],"It":[9],"is":[10,41,93,108,116],"designed":[11],"to":[12,110,133],"compute":[13],"the":[14,24,45,59,78,90,100,111,127],"representation":[15,92],"of":[16,23,74,113],"each":[17],"position":[18],"by":[19],"a":[20,69,84],"weighted":[21,85],"sum":[22],"features":[25],"at":[26],"all":[27,51],"positions.":[28,53],"Thus,":[29],"it":[30,40],"can":[31],"capture":[32],"long-range":[33],"relations":[34],"computer":[36],"vision":[37],"However,":[39],"computationally":[42],"consuming.":[43],"Since":[44],"attention":[46,60,79],"maps":[47,80],"are":[48,81],"computed":[49],"w.r.t":[50],"other":[52],"In":[54],"this":[55],"paper,":[56],"we":[57,124,157],"formulate":[58],"into":[62],"an":[63],"expectation-maximization":[64],"manner":[65],"and":[66,95,115,121,130,152],"iteratively":[67],"estimate":[68],"much":[70],"more":[71],"compact":[72],"set":[73,125,158],"bases":[75,128],"upon":[76,87],"which":[77,156],"computed.":[82],"By":[83],"summation":[86],"these":[88],"bases,":[89],"resulting":[91],"low-rank":[94],"deprecates":[96],"noisy":[97],"information":[98],"from":[99],"input.":[101],"The":[102],"proposed":[103],"Expectation-Maximization":[104],"Attention":[105],"(EMA)":[106],"module":[107],"robust":[109],"variance":[112],"input":[114],"also":[117],"friendly":[118],"in":[119],"memory":[120],"computation.":[122],"Moreover,":[123],"up":[126],"maintenance":[129],"normalization":[131],"methods":[132],"stabilize":[134],"its":[135],"training":[136],"procedure.":[137],"We":[138],"conduct":[139],"extensive":[140],"experiments":[141],"on":[142,155],"popular":[143],"semantic":[144],"segmentation":[145],"benchmarks":[146],"including":[147],"PASCAL":[148,150],"VOC,":[149],"Context,":[151],"COCO":[153],"Stuff,":[154],"new":[159],"records":[160],"1":[163],".":[164]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2993235622","counts_by_year":[{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":111},{"year":2023,"cited_by_count":110},{"year":2022,"cited_by_count":123},{"year":2021,"cited_by_count":125},{"year":2020,"cited_by_count":62},{"year":2019,"cited_by_count":5}],"updated_date":"2025-04-24T09:43:49.273791","created_date":"2019-12-13"}