{"id":"https://openalex.org/W3158654882","doi":"https://doi.org/10.1109/tip.2021.3075086","title":"Meta-VOS: Learning to Adapt Online Target-Specific Segmentation","display_name":"Meta-VOS: Learning to Adapt Online Target-Specific Segmentation","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3158654882","doi":"https://doi.org/10.1109/tip.2021.3075086","mag":"3158654882","pmid":"https://pubmed.ncbi.nlm.nih.gov/33909563"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3075086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3075086","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5054364063","display_name":"Chunyan Xu","orcid":"https://orcid.org/0000-0002-0814-4362"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunyan Xu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information, Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information, Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045547813","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-2250-2031"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Wei","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information, Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information, Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025396815","display_name":"Zhen Cui","orcid":"https://orcid.org/0000-0002-0543-4196"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Cui","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information, Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information, Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378754","display_name":"Tong Zhang","orcid":"https://orcid.org/0000-0001-6212-4891"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information, Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information, Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100726984","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0003-4800-832X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information, Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information, Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5054364063"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.7685,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72913399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"30","issue":null,"first_page":"4760","last_page":"4772"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991000294685364,"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":0.8370509147644043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7067781686782837},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6962361335754395},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6427270770072937},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.6234581470489502},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5124426484107971},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5044969320297241},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43700024485588074},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4366063177585602},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4220651388168335},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4115787148475647},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38243961334228516},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.370524525642395}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8370509147644043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7067781686782837},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6962361335754395},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6427270770072937},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.6234581470489502},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5124426484107971},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5044969320297241},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43700024485588074},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4366063177585602},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4220651388168335},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4115787148475647},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38243961334228516},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.370524525642395},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2021.3075086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3075086","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:33909563","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33909563","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5699999928474426}],"awards":[{"id":"https://openalex.org/G1065978008","display_name":null,"funder_award_id":"62072244","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2411797988","display_name":null,"funder_award_id":"61972204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4805341162","display_name":null,"funder_award_id":"BK20190019","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8353930053","display_name":null,"funder_award_id":"BK20191283","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1954358089","https://openalex.org/W1967456674","https://openalex.org/W1967856816","https://openalex.org/W2030346542","https://openalex.org/W2037227137","https://openalex.org/W2081534675","https://openalex.org/W2108598243","https://openalex.org/W2112562896","https://openalex.org/W2123399796","https://openalex.org/W2138682569","https://openalex.org/W2145680191","https://openalex.org/W2194775991","https://openalex.org/W2460260369","https://openalex.org/W2470139095","https://openalex.org/W2472819217","https://openalex.org/W2547826310","https://openalex.org/W2560474170","https://openalex.org/W2562137921","https://openalex.org/W2564998703","https://openalex.org/W2604763608","https://openalex.org/W2605229288","https://openalex.org/W2613718673","https://openalex.org/W2624086852","https://openalex.org/W2630837129","https://openalex.org/W2726717203","https://openalex.org/W2730685483","https://openalex.org/W2739403480","https://openalex.org/W2739916914","https://openalex.org/W2752782242","https://openalex.org/W2755236197","https://openalex.org/W2763794872","https://openalex.org/W2786928087","https://openalex.org/W2798441772","https://openalex.org/W2798823518","https://openalex.org/W2799157347","https://openalex.org/W2799239273","https://openalex.org/W2889986507","https://openalex.org/W2890447039","https://openalex.org/W2890853604","https://openalex.org/W2892750142","https://openalex.org/W2894890793","https://openalex.org/W2909577373","https://openalex.org/W2911981226","https://openalex.org/W2916743882","https://openalex.org/W2916797271","https://openalex.org/W2962699453","https://openalex.org/W2962825871","https://openalex.org/W2963253279","https://openalex.org/W2963336968","https://openalex.org/W2963341924","https://openalex.org/W2963420686","https://openalex.org/W2963495494","https://openalex.org/W2963503215","https://openalex.org/W2963548592","https://openalex.org/W2963773230","https://openalex.org/W2963775850","https://openalex.org/W2963804140","https://openalex.org/W2963823251","https://openalex.org/W2963924762","https://openalex.org/W2964040697","https://openalex.org/W2964157492","https://openalex.org/W2964211168","https://openalex.org/W2964226882","https://openalex.org/W2964309882","https://openalex.org/W2964343881","https://openalex.org/W2996569138","https://openalex.org/W2996592317","https://openalex.org/W2999426717","https://openalex.org/W3089941986","https://openalex.org/W3121504768","https://openalex.org/W3128992469","https://openalex.org/W4295292688","https://openalex.org/W4302374929","https://openalex.org/W6620707391","https://openalex.org/W6717367658","https://openalex.org/W6717697761","https://openalex.org/W6720057410","https://openalex.org/W6734265508","https://openalex.org/W6736057607","https://openalex.org/W6739653404","https://openalex.org/W6739696289","https://openalex.org/W6740472315","https://openalex.org/W6742260704","https://openalex.org/W6743811873","https://openalex.org/W6747959232","https://openalex.org/W6748481559","https://openalex.org/W6754033419","https://openalex.org/W6758168472","https://openalex.org/W6772296262","https://openalex.org/W6775657223"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2087343574","https://openalex.org/W1522196789"],"abstract_inverted_index":{"The":[0],"task":[1],"of":[2,15,87,103,122,135,150,163,180],"video":[3,34],"object":[4,35,166],"segmentation":[5,36,123,152],"is":[6,92,111,139],"a":[7,107,132],"fundamental":[8],"but":[9],"challenging":[10],"problem":[11],"in":[12,23,106,125],"the":[13,45,71,100,118,143,147,151,161,178,192],"field":[14],"computer":[16],"vision.":[17],"To":[18],"deal":[19],"with":[20,186],"large":[21],"variations":[22],"target":[24],"objects":[25],"and":[26,67,82,120,168],"background":[27],"clutter,":[28],"we":[29],"propose":[30],"an":[31,50],"online":[32,51,148,156],"adaptive":[33,52],"(VOS)":[37],"framework,":[38],"named":[39],"Meta-VOS,":[40],"that":[41],"learns":[42],"to":[43,93,113,116,141,191],"adapt":[44],"target-specific":[46],"segmentation.":[47],"Meta-VOS":[48,183],"builds":[49],"learning":[53,73],"process":[54],"by":[55],"exploiting":[56],"cumulative":[57],"expertise":[58],"after":[59],"searching":[60],"for":[61,146],"confidence":[62],"patterns":[63,97,159],"across":[64],"different":[65],"videos/frames,":[66],"then":[68],"dynamically":[69],"improves":[70],"model":[72],"from":[74],"two":[75],"aspects:":[76],"Meta-seg":[77,83,109,133,144],"learner":[78,110,145],"(i.e.,":[79,85],"module":[80],"updating)":[81],"criterion":[84,134],"rule":[86],"expertise).":[88],"As":[89],"our":[90,181],"goal":[91],"rapidly":[94],"determine":[95],"which":[96,138],"best":[98],"represent":[99],"essential":[101],"characteristics":[102],"specific":[104],"targets":[105],"video,":[108],"introduced":[112],"adaptively":[114],"learn":[115],"update":[117,157],"parameters":[119],"hyperparameters":[121],"network":[124],"very":[126],"few":[127],"gradient":[128],"descent":[129],"steps.":[130],"Furthermore,":[131],"learned":[136,169],"expertise,":[137],"constructed":[140],"evaluate":[142],"adaptation":[149],"network,":[153],"can":[154],"confidently":[155],"positive/negative":[158],"under":[160],"guidance":[162],"motion":[164],"cues,":[165],"appearances":[167],"knowledge.":[170],"Comprehensive":[171],"evaluations":[172],"on":[173],"several":[174],"benchmark":[175],"datasets":[176],"demonstrate":[177],"superiority":[179],"proposed":[182],"when":[184],"compared":[185],"other":[187],"state-of-the-art":[188],"methods":[189],"applied":[190],"VOS":[193],"problem.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
