{"id":"https://openalex.org/W3166152027","doi":"https://doi.org/10.1109/tnnls.2021.3084252","title":"Part-Based Semantic Transform for Few-Shot Semantic Segmentation","display_name":"Part-Based Semantic Transform for Few-Shot Semantic Segmentation","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3166152027","doi":"https://doi.org/10.1109/tnnls.2021.3084252","mag":"3166152027","pmid":"https://pubmed.ncbi.nlm.nih.gov/34101605"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3084252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3084252","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084152160","display_name":"Boyu Yang","orcid":"https://orcid.org/0000-0003-3799-6625"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boyu Yang","raw_affiliation_strings":["School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences (UCAS), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3799-6625","affiliations":[{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences (UCAS), Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052317536","display_name":"Fang Wan","orcid":"https://orcid.org/0000-0002-8083-9257"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Wan","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences (UCAS), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8083-9257","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences (UCAS), Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633842","display_name":"Chang Liu","orcid":"https://orcid.org/0000-0001-6747-0646"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Liu","raw_affiliation_strings":["School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences (UCAS), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6747-0646","affiliations":[{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences (UCAS), Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102004554","display_name":"Bohao Li","orcid":"https://orcid.org/0000-0001-7354-2116"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bohao Li","raw_affiliation_strings":["School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences (UCAS), Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences (UCAS), Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024401174","display_name":"Xiangyang Ji","orcid":"https://orcid.org/0000-0002-7333-9975"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Ji","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7333-9975","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015317495","display_name":"Qixiang Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qixiang Ye","raw_affiliation_strings":["School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences (UCAS), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1215-6259","affiliations":[{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences (UCAS), Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2034,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.93391888,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"33","issue":"12","first_page":"7141","last_page":"7152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994000196456909,"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":0.9980000257492065,"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/computer-science","display_name":"Computer science","score":0.743012547492981},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6829063296318054},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6002236008644104},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.5073263049125671},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4821890890598297},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.4800789952278137},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4739508628845215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45549261569976807},{"id":"https://openalex.org/keywords/semantic-compression","display_name":"Semantic compression","score":0.4460076093673706},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4387727379798889},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33611905574798584},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32337576150894165},{"id":"https://openalex.org/keywords/semantic-technology","display_name":"Semantic technology","score":0.15809142589569092},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13763168454170227}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.743012547492981},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6829063296318054},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6002236008644104},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.5073263049125671},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4821890890598297},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.4800789952278137},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4739508628845215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45549261569976807},{"id":"https://openalex.org/C202708506","wikidata":"https://www.wikidata.org/wiki/Q7449050","display_name":"Semantic compression","level":5,"score":0.4460076093673706},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4387727379798889},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33611905574798584},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32337576150894165},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.15809142589569092},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13763168454170227},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2021.3084252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3084252","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:34101605","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34101605","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":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1923697677","https://openalex.org/W2144794286","https://openalex.org/W2145001205","https://openalex.org/W2169528473","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2519882289","https://openalex.org/W2560023338","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2630837129","https://openalex.org/W2788210750","https://openalex.org/W2806070179","https://openalex.org/W2893918048","https://openalex.org/W2897139960","https://openalex.org/W2902683551","https://openalex.org/W2910628332","https://openalex.org/W2957105406","https://openalex.org/W2962799101","https://openalex.org/W2963078159","https://openalex.org/W2963078860","https://openalex.org/W2963341924","https://openalex.org/W2963455537","https://openalex.org/W2963599420","https://openalex.org/W2963741406","https://openalex.org/W2963845150","https://openalex.org/W2964105864","https://openalex.org/W2964309882","https://openalex.org/W2981787211","https://openalex.org/W2982106100","https://openalex.org/W2983156430","https://openalex.org/W2983166023","https://openalex.org/W2983850069","https://openalex.org/W2990230185","https://openalex.org/W2991559096","https://openalex.org/W2993235622","https://openalex.org/W2996583130","https://openalex.org/W2996976377","https://openalex.org/W3009213340","https://openalex.org/W3012255272","https://openalex.org/W3014624619","https://openalex.org/W3016847592","https://openalex.org/W3034985049","https://openalex.org/W3035342403","https://openalex.org/W3108189450","https://openalex.org/W3128992469","https://openalex.org/W3180725527","https://openalex.org/W6639824700","https://openalex.org/W6640295612","https://openalex.org/W6682124274","https://openalex.org/W6717697761","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6739696289","https://openalex.org/W6754568377","https://openalex.org/W6755593459","https://openalex.org/W6756657096","https://openalex.org/W6758126075"],"related_works":["https://openalex.org/W2026635458","https://openalex.org/W2018066836","https://openalex.org/W3012445987","https://openalex.org/W2038882528","https://openalex.org/W2277021700","https://openalex.org/W2035647422","https://openalex.org/W3009520654","https://openalex.org/W2250607250","https://openalex.org/W4252266283","https://openalex.org/W3134365128"],"abstract_inverted_index":{"Few-shot":[0],"semantic":[1,17,27,45,48,76,98,116,148],"segmentation":[2,149],"remains":[3],"an":[4,11,60],"open":[5],"problem":[6],"for":[7,165],"the":[8,16,102,144],"lack":[9],"of":[10,118,146,158],"effective":[12],"method":[13],"to":[14,64,72,105,152],"handle":[15],"misalignment":[18],"between":[19,78,94],"objects.":[20],"In":[21,138],"this":[22],"article,":[23],"we":[24],"propose":[25],"part-based":[26],"transform":[28],"(PST)":[29],"and":[30,111,114,128,161],"target":[31],"at":[32,169],"aligning":[33],"object":[34,66,73,95],"semantics":[35,67],"in":[36,41,120],"support":[37],"images":[38,43],"with":[39,53,82,154],"those":[40],"query":[42,121],"by":[44,150],"decomposition-and-match.":[46],"The":[47,75],"decomposition":[49],"process":[50],"is":[51,80,167],"implemented":[52],"prototype":[54],"mixture":[55],"models":[56],"(PMMs),":[57],"which":[58,87],"use":[59],"expectation-maximization":[61],"(EM)":[62],"algorithm":[63],"decompose":[65],"into":[68],"multiple":[69],"prototypes":[70,79],"corresponding":[71],"parts.":[74,96],"match":[77],"performed":[81],"a":[83,155],"min-cost":[84],"flow":[85],"module,":[86],"encourages":[88],"correct":[89],"correspondence":[90],"while":[91],"depressing":[92],"mismatches":[93],"With":[97],"decomposition-and-match,":[99],"PST":[100,133,166],"enforces":[101],"network's":[103],"tolerance":[104],"objects'":[106],"appearance":[107],"and/or":[108],"pose":[109],"variation":[110],"facilities":[112],"channelwise":[113],"spatial":[115],"activation":[117],"objects":[119],"images.":[122],"Extensive":[123],"experiments":[124],"on":[125,140],"Pascal":[126],"VOC":[127],"MS-COCO":[129],"datasets":[130],"show":[131],"that":[132],"significantly":[134],"improves":[135,143],"upon":[136],"state-of-the-arts.":[137],"particular,":[139],"MS-COCO,":[141],"it":[142],"performance":[145],"five-shot":[147],"up":[151],"7.79%":[153],"moderate":[156],"cost":[157],"inference":[159],"speed":[160],"model":[162],"size.":[163],"Code":[164],"released":[168],"https://github.com/Yang-Bob/PST.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
