{"id":"https://openalex.org/W3170973447","doi":"https://doi.org/10.1109/icme51207.2021.9428425","title":"ARNet: Active-Reference Network for Few-Shot Image Semantic Segmentation","display_name":"ARNet: Active-Reference Network for Few-Shot Image Semantic Segmentation","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3170973447","doi":"https://doi.org/10.1109/icme51207.2021.9428425","mag":"3170973447"},"language":"en","primary_location":{"id":"doi:10.1109/icme51207.2021.9428425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","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/A5007957895","display_name":"Guangchen Shi","orcid":"https://orcid.org/0000-0003-2568-4130"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangchen Shi","raw_affiliation_strings":["College of Computer and Information, Hohai University"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053703016","display_name":"Yirui Wu","orcid":"https://orcid.org/0000-0003-3022-3718"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yirui Wu","raw_affiliation_strings":["College of Computer and Information, Hohai University"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025871978","display_name":"Palaiahnakote Shivakumara","orcid":"https://orcid.org/0000-0001-9026-4613"},"institutions":[{"id":"https://openalex.org/I1323252656","display_name":"Information Technology University","ror":"https://ror.org/00ngv8j44","country_code":"PK","type":"education","lineage":["https://openalex.org/I1323252656"]},{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY","PK"],"is_corresponding":false,"raw_author_name":"Shivakumara Palaiahnakote","raw_affiliation_strings":["University of Malaya,Department of Computer System and Information Technology","Department of Computer System and Information Technology, University of Malaya"],"affiliations":[{"raw_affiliation_string":"University of Malaya,Department of Computer System and Information Technology","institution_ids":["https://openalex.org/I33849332","https://openalex.org/I1323252656"]},{"raw_affiliation_string":"Department of Computer System and Information Technology, University of Malaya","institution_ids":["https://openalex.org/I1323252656","https://openalex.org/I33849332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068803496","display_name":"Umapada Pal","orcid":"https://orcid.org/0000-0002-5426-2618"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Umapada Pal","raw_affiliation_strings":["Computer Vision and Pattern Recognition Unit, Indian Statistical Institute"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Pattern Recognition Unit, Indian Statistical Institute","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061696740","display_name":"Tong L\u00fc","orcid":"https://orcid.org/0000-0002-7051-5347"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]},{"id":"https://openalex.org/I4210102458","display_name":"Novel (United States)","ror":"https://ror.org/00z5k4y41","country_code":"US","type":"company","lineage":["https://openalex.org/I4210102458"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Tong Lu","raw_affiliation_strings":["National Key Lab for Novel Software Technology, Nanjing University"],"affiliations":[{"raw_affiliation_string":"National Key Lab for Novel Software Technology, Nanjing University","institution_ids":["https://openalex.org/I881766915","https://openalex.org/I4210102458"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007957895"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":0.8158,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77761849,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9994999766349792,"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":0.9984999895095825,"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":0.7468640804290771},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7386241555213928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7142791748046875},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.6205852031707764},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5339547395706177},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.526751697063446},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5232911705970764},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5131638646125793},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5061337351799011},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.48707273602485657},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4640796184539795},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4411095976829529},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4356553256511688},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.41631409525871277}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7468640804290771},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7386241555213928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7142791748046875},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.6205852031707764},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5339547395706177},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.526751697063446},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5232911705970764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5131638646125793},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5061337351799011},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.48707273602485657},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4640796184539795},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4411095976829529},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4356553256511688},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.41631409525871277},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme51207.2021.9428425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2412782625","https://openalex.org/W2754560798","https://openalex.org/W2897139960","https://openalex.org/W2963070905","https://openalex.org/W2963078159","https://openalex.org/W2963599420","https://openalex.org/W2963900328","https://openalex.org/W2964105864","https://openalex.org/W2983850069","https://openalex.org/W2990230185","https://openalex.org/W3033502887","https://openalex.org/W3034985049","https://openalex.org/W3035212740","https://openalex.org/W6749270329","https://openalex.org/W6755593459"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W2074502265","https://openalex.org/W2361861616","https://openalex.org/W4214877189","https://openalex.org/W4243305035"],"abstract_inverted_index":{"To":[0,51,93],"make":[1],"predictions":[2],"on":[3,17,28,85,122],"unseen":[4],"classes,":[5],"few-shot":[6,62],"segmentation":[7,33],"becomes":[8],"a":[9,99,133],"research":[10],"focus":[11],"recently.":[12],"However,":[13],"most":[14],"methods":[15],"build":[16],"pixel-level":[18,86],"annotation":[19],"requiring":[20],"quantity":[21],"of":[22,136],"manual":[23],"work.":[24],"Moreover,":[25],"inherent":[26],"information":[27],"same-category":[29],"objects":[30,73],"to":[31,42,106],"guide":[32],"could":[34],"have":[35],"large":[36],"diversity":[37],"in":[38,44,74],"feature":[39,97],"representation":[40],"due":[41],"differences":[43],"size,":[45],"appearance,":[46],"layout,":[47],"and":[48,117,140,147],"so":[49],"on.":[50],"tackle":[52],"these":[53],"problems,":[54],"we":[55],"present":[56],"an":[57],"active-reference":[58,66],"network":[59],"(ARNet)":[60],"for":[61,89,138,142],"segmentation.":[63],"The":[64],"proposed":[65,130],"mechanism":[67],"not":[68],"only":[69],"supports":[70],"accurately":[71],"cooccurrent":[72],"either":[75],"support":[76,112],"or":[77],"query":[78],"images,":[79,113],"but":[80],"also":[81],"relaxes":[82],"high":[83],"constraint":[84],"labeling,":[87],"allowing":[88],"weakly":[90],"boundary":[91],"labeling.":[92],"extract":[94],"more":[95],"intrinsic":[96],"representation,":[98],"category-modulation":[100],"module":[101],"(CMM)":[102],"is":[103],"further":[104],"applied":[105],"fuse":[107],"features":[108],"extracted":[109],"from":[110],"multiple":[111],"thus":[114],"forgetting":[115],"useless":[116],"enhancing":[118],"contributive":[119],"information.":[120],"Experiments":[121],"PASCAL-5":[123],"<sup":[124],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[125],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">i</sup>":[126],"dataset":[127],"show":[128],"the":[129],"method":[131],"achieves":[132],"m-IOU":[134],"score":[135],"56.5%":[137],"1-shot":[139],"59.8%":[141],"5-shot":[143],"segmentation,":[144],"being":[145],"0.5%":[146],"1.3%":[148],"higher":[149],"than":[150],"current":[151],"state-of-the-art":[152],"method.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}