{"id":"https://openalex.org/W4372260025","doi":"https://doi.org/10.1109/icassp49357.2023.10094973","title":"Spatial Correlation Fusion Network for Few-Shot Segmentation","display_name":"Spatial Correlation Fusion Network for Few-Shot Segmentation","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372260025","doi":"https://doi.org/10.1109/icassp49357.2023.10094973"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10094973","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10094973","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5100676196","display_name":"Xueliang Wang","orcid":"https://orcid.org/0000-0001-5406-2109"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"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":"Xueliang Wang","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,Department of Electronic Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,Department of Electronic Engineering","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103277094","display_name":"Wenqi Huang","orcid":"https://orcid.org/0000-0002-4829-3223"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqi Huang","raw_affiliation_strings":["Digital Grid Research Institute,China Southern Power Grid,Guangzhou,China,510670"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Grid Research Institute,China Southern Power Grid,Guangzhou,China,510670","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110649314","display_name":"Wenming Yang","orcid":"https://orcid.org/0000-0003-1425-8013"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"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":"Wenming Yang","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,Department of Electronic Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,Department of Electronic Engineering","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009239895","display_name":"Qingmin Liao","orcid":"https://orcid.org/0000-0002-7509-3964"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"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":"Qingmin Liao","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,Department of Electronic Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,Department of Electronic Engineering","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1632,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52652203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"30","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9987999796867371,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9976000189781189,"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/segmentation","display_name":"Segmentation","score":0.7816397547721863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7436162233352661},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6567747592926025},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5099908113479614},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4899386763572693},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4535083770751953},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42236804962158203}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7816397547721863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7436162233352661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6567747592926025},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5099908113479614},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4899386763572693},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4535083770751953},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42236804962158203},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10094973","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10094973","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1507506748","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2117539524","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2788210750","https://openalex.org/W2893918048","https://openalex.org/W2963078159","https://openalex.org/W2963341924","https://openalex.org/W2963599420","https://openalex.org/W2981787211","https://openalex.org/W2990230185","https://openalex.org/W3005680577","https://openalex.org/W3033502887","https://openalex.org/W3034985049","https://openalex.org/W3046971235","https://openalex.org/W3106906018","https://openalex.org/W3149878926","https://openalex.org/W3154360923","https://openalex.org/W3176065502","https://openalex.org/W4221153269","https://openalex.org/W4224917362","https://openalex.org/W4229031024","https://openalex.org/W4288593364","https://openalex.org/W4292199858","https://openalex.org/W6639102338","https://openalex.org/W6717697761","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6754568377","https://openalex.org/W6758314753","https://openalex.org/W6774314701","https://openalex.org/W6781222066","https://openalex.org/W6793652844","https://openalex.org/W6842601527"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2353644209","https://openalex.org/W2795079307","https://openalex.org/W4324315429","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W2348743188","https://openalex.org/W2793058541"],"abstract_inverted_index":{"Few-shot":[0,102],"semantic":[1,55,126,153],"segmentation":[2,69,154],"aims":[3],"to":[4,14,57,70,75,87,112],"learn":[5,113],"new":[6],"knowledge":[7],"rapidly":[8],"with":[9,25],"very":[10],"few":[11],"annotated":[12],"data":[13],"segment":[15],"novel":[16],"classes.":[17],"Recent":[18],"methods":[19],"follow":[20],"a":[21,62,82,105,114],"metric":[22],"learning":[23],"framework":[24],"prototypes":[26,39],"for":[27,47,67,117,151],"foreground":[28],"representation":[29,46],"[1].":[30],"However,":[31],"representing":[32],"support":[33,95],"images":[34],"by":[35,44,130],"one":[36],"or":[37],"more":[38],"may":[40],"face":[41],"problems":[42],"caused":[43],"inadequate":[45],"segmentation,":[48],"noise":[49,129],"in":[50,94],"complex":[51],"scenes,":[52],"and":[53,128,140,155],"close":[54,125],"relation":[56],"background":[58],"features.":[59],"We":[60],"propose":[61],"Spatial":[63,83],"Correlation":[64,84],"Fusion":[65,85],"Network(SCFNet)":[66],"few-shot":[68,152],"address":[71,88],"the":[72,89,99,118,146],"issues.":[73],"Firstly,":[74],"better":[76],"capture":[77],"fine-grained":[78],"features,":[79],"we":[80],"design":[81],"module":[86,109],"loss":[90],"of":[91,101,123,148],"spatial":[92],"information":[93,127],"images,":[96],"thus":[97],"improving":[98],"performance":[100],"segmentation.":[103],"Secondly,":[104],"Prototype":[106],"Contrastive":[107],"Transformation(PCT)":[108],"is":[110,121],"proposed":[111],"transformation":[115,132],"matrix":[116],"prototype,":[119],"which":[120],"capable":[122],"alleviating":[124],"adopting":[131],"loss.":[133],"Experiments":[134],"on":[135],"PASCAL-5<sup":[136],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[137,142],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">i</sup>":[138,143],"[2]":[139],"COCO-20<sup":[141],"[3]":[144],"validate":[145],"effectiveness":[147],"our":[149,157],"network":[150],"show":[156],"approach":[158],"achieves":[159],"state-of-the-art":[160],"results.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
