{"id":"https://openalex.org/W4387092374","doi":"https://doi.org/10.1109/access.2023.3319740","title":"GroupPrompter: A Prompting Method for Semantic Segmentation Based on SAM","display_name":"GroupPrompter: A Prompting Method for Semantic Segmentation Based on SAM","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387092374","doi":"https://doi.org/10.1109/access.2023.3319740"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3319740","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3319740","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10265054.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10265054.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101611817","display_name":"Yichuang Luo","orcid":"https://orcid.org/0000-0002-2064-8037"},"institutions":[{"id":"https://openalex.org/I4210139547","display_name":"Xi'an Peihua University","ror":"https://ror.org/032fx1s95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210139547"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichuang Luo","raw_affiliation_strings":["Department of Intelligent Science and Information Engineering, Xi&#x2019;an Peihua University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-2064-8037","affiliations":[{"raw_affiliation_string":"Department of Intelligent Science and Information Engineering, Xi&#x2019;an Peihua University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210139547"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100747371","display_name":"Wang Fang","orcid":"https://orcid.org/0009-0002-6197-862X"},"institutions":[{"id":"https://openalex.org/I4210139547","display_name":"Xi'an Peihua University","ror":"https://ror.org/032fx1s95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210139547"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Wang","raw_affiliation_strings":["Department of Intelligent Science and Information Engineering, Xi&#x2019;an Peihua University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0002-6197-862X","affiliations":[{"raw_affiliation_string":"Department of Intelligent Science and Information Engineering, Xi&#x2019;an Peihua University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210139547"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101934617","display_name":"Jing Xing","orcid":"https://orcid.org/0009-0008-4606-4065"},"institutions":[{"id":"https://openalex.org/I4210139547","display_name":"Xi'an Peihua University","ror":"https://ror.org/032fx1s95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210139547"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Xing","raw_affiliation_strings":["Department of Intelligent Science and Information Engineering, Xi&#x2019;an Peihua University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0008-4606-4065","affiliations":[{"raw_affiliation_string":"Department of Intelligent Science and Information Engineering, Xi&#x2019;an Peihua University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210139547"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039387075","display_name":"Xiaohu Liu","orcid":"https://orcid.org/0000-0003-0896-1810"},"institutions":[{"id":"https://openalex.org/I4210110558","display_name":"Xi'an Technological University","ror":"https://ror.org/01t8prc81","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110558"]},{"id":"https://openalex.org/I4210139547","display_name":"Xi'an Peihua University","ror":"https://ror.org/032fx1s95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210139547"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohu Liu","raw_affiliation_strings":["Department of Intelligent Science and Information Engineering, Xi&#x2019;an Peihua University, Xi&#x2019;an, China","Department of Mechanical and Electrical Engineering, Xi'an Technological University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-0896-1810","affiliations":[{"raw_affiliation_string":"Department of Intelligent Science and Information Engineering, Xi&#x2019;an Peihua University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210139547"]},{"raw_affiliation_string":"Department of Mechanical and Electrical Engineering, Xi'an Technological University, Xi'an, China","institution_ids":["https://openalex.org/I4210110558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3368,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59050932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"106054","last_page":"106062"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994999766349792,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9965999722480774,"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":0.8768513202667236},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8339446783065796},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.7217899560928345},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6806474924087524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6052748560905457},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5050337910652161},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4992551803588867},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4509439468383789},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4483720064163208},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.416057825088501},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34579360485076904},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.057443708181381226},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.04721176624298096}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8768513202667236},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8339446783065796},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.7217899560928345},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6806474924087524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6052748560905457},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5050337910652161},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4992551803588867},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4509439468383789},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4483720064163208},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.416057825088501},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34579360485076904},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.057443708181381226},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.04721176624298096},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3319740","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3319740","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10265054.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:275eb809c9c04faf87dbd32331e0a686","is_oa":true,"landing_page_url":"https://doaj.org/article/275eb809c9c04faf87dbd32331e0a686","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 106054-106062 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3319740","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3319740","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10265054.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387092374.pdf","grobid_xml":"https://content.openalex.org/works/W4387092374.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2117539524","https://openalex.org/W2125215748","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2465015709","https://openalex.org/W2547875792","https://openalex.org/W2563705555","https://openalex.org/W2737258237","https://openalex.org/W2908510526","https://openalex.org/W2940262938","https://openalex.org/W2963263347","https://openalex.org/W3034681889","https://openalex.org/W3035339581","https://openalex.org/W3104211245","https://openalex.org/W3138516171","https://openalex.org/W3159637683","https://openalex.org/W3166396011","https://openalex.org/W3170841864","https://openalex.org/W3170863103","https://openalex.org/W3189898414","https://openalex.org/W3198377975","https://openalex.org/W3211490618","https://openalex.org/W4280496682","https://openalex.org/W4292779060","https://openalex.org/W4294863264","https://openalex.org/W4299298190","https://openalex.org/W4306177171","https://openalex.org/W4312651322","https://openalex.org/W4312815172","https://openalex.org/W4312980231","https://openalex.org/W4313303572","https://openalex.org/W4365606129","https://openalex.org/W4391021462","https://openalex.org/W4394758452","https://openalex.org/W6639824700","https://openalex.org/W6719270105","https://openalex.org/W6726497184","https://openalex.org/W6729448088","https://openalex.org/W6730587030","https://openalex.org/W6757817989","https://openalex.org/W6761630670","https://openalex.org/W6778883912","https://openalex.org/W6791353385","https://openalex.org/W6794556019","https://openalex.org/W6796761347","https://openalex.org/W6797399245","https://openalex.org/W6838393215","https://openalex.org/W6842890524","https://openalex.org/W6846529796","https://openalex.org/W6848671364","https://openalex.org/W6850445660","https://openalex.org/W6851543690","https://openalex.org/W6851578965","https://openalex.org/W6851607685","https://openalex.org/W6854518852"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W4313052709","https://openalex.org/W2945274617","https://openalex.org/W2022929107","https://openalex.org/W80586315","https://openalex.org/W1999008862","https://openalex.org/W4205800335","https://openalex.org/W2386644571"],"abstract_inverted_index":{"The":[0],"SAM":[1,70,89],"shows":[2],"remarkable":[3],"generalization":[4],"and":[5,107],"transformable":[6],"capabilities":[7],"for":[8,36,53,64],"category-agnostic":[9],"segmentation.":[10,26],"Although":[11],"the":[12,33,43,69,73,95,100,111,114],"semantics":[13],"in":[14],"latent":[15,74],"space":[16],"are":[17,22],"explored":[18],"slightly,":[19],"more":[20],"researches":[21],"working":[23],"on":[24,68,103],"instance":[25],"And":[27,99],"it\u2019s":[28],"unclear":[29],"how":[30],"to":[31,90],"design":[32],"appropriate":[34],"prompts":[35],"semantic":[37,54,65,75,92],"segmentation,":[38],"which":[39],"have":[40],"large":[41],"impact":[42],"performance.":[44],"In":[45],"this":[46],"paper,":[47],"by":[48,80],"summarizing":[49],"several":[50],"existing":[51],"methods":[52],"segmentation":[55,66,93],"with":[56,77,94],"SAM,":[57],"we":[58],"proposed":[59,115],"a":[60,81],"learn":[61],"prompt":[62,78],"method":[63],"based":[67],"model,":[71],"incorporating":[72],"features":[76],"learning":[79],"grouping":[82],"approach,":[83],"referred":[84],"as":[85],"GroupPrompter.":[86],"This":[87],"enables":[88],"perform":[91],"automatic":[96],"learned":[97],"prompts.":[98],"experimental":[101],"results":[102],"ADE20K,":[104],"Pascal":[105],"Context":[106],"COCO-Stuff":[108],"datasets":[109],"validate":[110],"effectiveness":[112],"of":[113],"method.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
