{"id":"https://openalex.org/W4403209818","doi":"https://doi.org/10.1109/lsp.2024.3476208","title":"Prototypical Metric Segment Anything Model for Data-Free Few-Shot Semantic Segmentation","display_name":"Prototypical Metric Segment Anything Model for Data-Free Few-Shot Semantic Segmentation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403209818","doi":"https://doi.org/10.1109/lsp.2024.3476208"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2024.3476208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3476208","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-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/A5014401391","display_name":"Zhiyu Jiang","orcid":"https://orcid.org/0000-0002-6360-8262"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiyu Jiang","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University, Xi'an, China","School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, P.R.China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, P.R.China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101471413","display_name":"Ye Yuan","orcid":"https://orcid.org/0000-0001-8239-8531"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Yuan","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University, Xi'an, China","School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, P.R.China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, P.R.China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100334733","display_name":"Yuan Yuan","orcid":"https://orcid.org/0000-0001-7964-6514"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Yuan","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University, Xi'an, China","School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, P.R.China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, P.R.China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014401391"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":1.7271,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8714433,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"31","issue":null,"first_page":"2800","last_page":"2804"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9192000031471252,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9192000031471252,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6987903118133545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6769184470176697},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6383378505706787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49659210443496704},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.4244096875190735},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4184091091156006},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3228992819786072},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32092857360839844}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6987903118133545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6769184470176697},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6383378505706787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49659210443496704},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.4244096875190735},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4184091091156006},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3228992819786072},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32092857360839844},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2024.3476208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3476208","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1930027536","display_name":null,"funder_award_id":"62101150","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2104125540","https://openalex.org/W2560023338","https://openalex.org/W2787091153","https://openalex.org/W2899411857","https://openalex.org/W2955058313","https://openalex.org/W2963599420","https://openalex.org/W2990230185","https://openalex.org/W2995360785","https://openalex.org/W3169294567","https://openalex.org/W3188824417","https://openalex.org/W4226281855","https://openalex.org/W4293190885","https://openalex.org/W4308237178","https://openalex.org/W4313196086","https://openalex.org/W4387935028","https://openalex.org/W4388019154","https://openalex.org/W4390874575","https://openalex.org/W4395056631","https://openalex.org/W6739696289","https://openalex.org/W6797399245","https://openalex.org/W6852612167","https://openalex.org/W6852694211","https://openalex.org/W6853180373"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Few-shot":[0,30],"semantic":[1],"segmentation":[2,78],"(FSS)":[3],"is":[4,11,73,105,140],"crucial":[5],"for":[6,15,45,50,63],"image":[7,52,158],"interpretation,":[8],"yet":[9],"it":[10],"constrained":[12],"by":[13,81,90],"requirements":[14],"extensive":[16,46],"base":[17,47],"data":[18],"and":[19,41,114],"a":[20,34,153],"narrow":[21],"focus":[22],"on":[23,148],"foreground-background":[24],"differentiation.":[25],"This":[26],"work":[27],"introduces":[28],"Data-free":[29],"Semantic":[31],"Segmentation":[32],"(DFSS),":[33],"task":[35],"that":[36],"requires":[37],"limited":[38,91],"labeled":[39],"images":[40],"forgoes":[42],"the":[43,58,86,99,122,132,149],"need":[44],"data,":[48],"allowing":[49],"comprehensive":[51],"segmentation.":[53,159],"The":[54,67,137],"proposed":[55],"method":[56],"utilizes":[57],"Segment":[59,70],"Anything":[60,71],"Model":[61,72],"(SAM)":[62],"its":[64],"generalization":[65],"capabilities.":[66],"Prototypical":[68,101],"Metric":[69],"introduced,":[74],"featuring":[75],"an":[76],"initial":[77],"phase":[79],"followed":[80],"prototype":[82,109],"matching,":[83],"effectively":[84],"addressing":[85],"learning":[87],"challenges":[88],"posed":[89],"data.":[92],"To":[93,117],"enhance":[94],"discrimination":[95],"in":[96,156],"multi-class":[97],"segmentation,":[98],"Supervised":[100],"Contrastive":[102],"Loss":[103],"(SPCL)":[104],"designed":[106],"to":[107,134],"refine":[108],"features,":[110],"ensuring":[111],"intra-class":[112,120],"cohesion":[113],"inter-class":[115],"separation.":[116],"further":[118],"accommodate":[119],"variability,":[121],"Adaptive":[123],"Prototype":[124],"Update":[125],"(APU)":[126],"strategy":[127],"dynamically":[128],"refines":[129],"prototypes,":[130],"adapting":[131],"model":[133],"class":[135],"heterogeneity.":[136],"method's":[138],"effectiveness":[139],"demonstrated":[141],"through":[142],"superior":[143],"performance":[144],"over":[145],"existing":[146],"techniques":[147],"DFSS":[150],"task,":[151],"marking":[152],"significant":[154],"advancement":[155],"UAV":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}