{"id":"https://openalex.org/W4387885644","doi":"https://doi.org/10.1109/tvcg.2023.3326577","title":"OW-Adapter: Human-Assisted Open-World Object Detection with a Few Examples","display_name":"OW-Adapter: Human-Assisted Open-World Object Detection with a Few Examples","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387885644","doi":"https://doi.org/10.1109/tvcg.2023.3326577","pmid":"https://pubmed.ncbi.nlm.nih.gov/37871071"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2023.3326577","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2023.3326577","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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 Visualization and Computer Graphics","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/A5026193206","display_name":"Suphanut Jamonnak","orcid":"https://orcid.org/0000-0003-4707-8529"},"institutions":[{"id":"https://openalex.org/I4210120115","display_name":"Robert Bosch (United States)","ror":"https://ror.org/02venad53","country_code":"US","type":"company","lineage":["https://openalex.org/I4210120115","https://openalex.org/I889804353"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Suphanut Jamonnak","raw_affiliation_strings":["Bosch Research North America, USA"],"affiliations":[{"raw_affiliation_string":"Bosch Research North America, USA","institution_ids":["https://openalex.org/I4210120115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103168454","display_name":"Jiajing Guo","orcid":"https://orcid.org/0000-0002-7977-7511"},"institutions":[{"id":"https://openalex.org/I4210120115","display_name":"Robert Bosch (United States)","ror":"https://ror.org/02venad53","country_code":"US","type":"company","lineage":["https://openalex.org/I4210120115","https://openalex.org/I889804353"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiajing Guo","raw_affiliation_strings":["Bosch Research North America, USA"],"affiliations":[{"raw_affiliation_string":"Bosch Research North America, USA","institution_ids":["https://openalex.org/I4210120115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091314206","display_name":"Wenbin He","orcid":"https://orcid.org/0000-0002-5376-5803"},"institutions":[{"id":"https://openalex.org/I4210120115","display_name":"Robert Bosch (United States)","ror":"https://ror.org/02venad53","country_code":"US","type":"company","lineage":["https://openalex.org/I4210120115","https://openalex.org/I889804353"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenbin He","raw_affiliation_strings":["Bosch Research North America, USA"],"affiliations":[{"raw_affiliation_string":"Bosch Research North America, USA","institution_ids":["https://openalex.org/I4210120115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103084682","display_name":"Liang Gou","orcid":"https://orcid.org/0009-0006-9138-3351"},"institutions":[{"id":"https://openalex.org/I4210120115","display_name":"Robert Bosch (United States)","ror":"https://ror.org/02venad53","country_code":"US","type":"company","lineage":["https://openalex.org/I4210120115","https://openalex.org/I889804353"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Gou","raw_affiliation_strings":["Bosch Research North America, USA"],"affiliations":[{"raw_affiliation_string":"Bosch Research North America, USA","institution_ids":["https://openalex.org/I4210120115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103725392","display_name":"Liu Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120115","display_name":"Robert Bosch (United States)","ror":"https://ror.org/02venad53","country_code":"US","type":"company","lineage":["https://openalex.org/I4210120115","https://openalex.org/I889804353"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liu Ren","raw_affiliation_strings":["Bosch Research North America, USA"],"affiliations":[{"raw_affiliation_string":"Bosch Research North America, USA","institution_ids":["https://openalex.org/I4210120115"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026193206"],"corresponding_institution_ids":["https://openalex.org/I4210120115"],"apc_list":null,"apc_paid":null,"fwci":0.6149,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70144347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"30","issue":"1","first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9980000257492065,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9951000213623047,"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/computer-science","display_name":"Computer science","score":0.8247886896133423},{"id":"https://openalex.org/keywords/adapter","display_name":"Adapter (computing)","score":0.7714215517044067},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6605719327926636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6530166864395142},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6441927552223206},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5901159644126892},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5840802788734436},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5007469654083252},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42672330141067505},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40189045667648315},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3606269359588623},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3573504686355591},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.11080381274223328}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8247886896133423},{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.7714215517044067},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6605719327926636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6530166864395142},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6441927552223206},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5901159644126892},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5840802788734436},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5007469654083252},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42672330141067505},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40189045667648315},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3606269359588623},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3573504686355591},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.11080381274223328},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2023.3326577","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2023.3326577","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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 Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:37871071","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37871071","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 visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1032927584","https://openalex.org/W1499399937","https://openalex.org/W1677182931","https://openalex.org/W1682403713","https://openalex.org/W1861492603","https://openalex.org/W1897729025","https://openalex.org/W1917989004","https://openalex.org/W1973803644","https://openalex.org/W1992492534","https://openalex.org/W2007241592","https://openalex.org/W2033074184","https://openalex.org/W2060277733","https://openalex.org/W2071830810","https://openalex.org/W2095345875","https://openalex.org/W2108598243","https://openalex.org/W2119880843","https://openalex.org/W2137130182","https://openalex.org/W2222445509","https://openalex.org/W2343061342","https://openalex.org/W2607223307","https://openalex.org/W2618530766","https://openalex.org/W2751746637","https://openalex.org/W2752194699","https://openalex.org/W2752257308","https://openalex.org/W2752332392","https://openalex.org/W2886614482","https://openalex.org/W2888723145","https://openalex.org/W2892051885","https://openalex.org/W2900545151","https://openalex.org/W2904509905","https://openalex.org/W2904982178","https://openalex.org/W2920292591","https://openalex.org/W2962933664","https://openalex.org/W2963123635","https://openalex.org/W2963149653","https://openalex.org/W2964200170","https://openalex.org/W2966559104","https://openalex.org/W2972458663","https://openalex.org/W2973221207","https://openalex.org/W2992843368","https://openalex.org/W3005984470","https://openalex.org/W3009436130","https://openalex.org/W3035224069","https://openalex.org/W3035513921","https://openalex.org/W3035574168","https://openalex.org/W3089028909","https://openalex.org/W3094617751","https://openalex.org/W3118244215","https://openalex.org/W3138516171","https://openalex.org/W3164124914","https://openalex.org/W3176709420","https://openalex.org/W3176716813","https://openalex.org/W3186479087","https://openalex.org/W3202567403","https://openalex.org/W3204047821","https://openalex.org/W3204925778","https://openalex.org/W3217535672","https://openalex.org/W4200283487","https://openalex.org/W4281956361","https://openalex.org/W4283269716","https://openalex.org/W4297460532","https://openalex.org/W4297811634","https://openalex.org/W4313018996","https://openalex.org/W4313150877","https://openalex.org/W4387831758","https://openalex.org/W6620707391","https://openalex.org/W6748816842","https://openalex.org/W6752760542","https://openalex.org/W6758101687","https://openalex.org/W6791353385","https://openalex.org/W6797080668","https://openalex.org/W6809665764","https://openalex.org/W6810738896"],"related_works":["https://openalex.org/W2133028525","https://openalex.org/W4306381730","https://openalex.org/W4229060448","https://openalex.org/W2981692913","https://openalex.org/W3184035966","https://openalex.org/W3044188621","https://openalex.org/W2160602540","https://openalex.org/W2485605994","https://openalex.org/W2971551846","https://openalex.org/W4387272257"],"abstract_inverted_index":{"Open-world":[0],"object":[1,18,23,109,171],"detection":[2],"(OWOD)":[3],"is":[4,118],"an":[5,103],"emerging":[6],"computer":[7],"vision":[8],"problem":[9],"that":[10,179],"involves":[11],"not":[12,73],"only":[13],"the":[14,44,113,145,157,187,199],"identification":[15],"of":[16,159,166,189],"predefined":[17],"classes,":[19],"like":[20],"what":[21],"general":[22,77,108,149,191],"detectors":[24,110,150,192],"do,":[25],"but":[26],"also":[27],"detects":[28],"new":[29],"unknown":[30,84,125,141,153,195],"objects":[31,196],"simultaneously.":[32,204],"Recently,":[33],"several":[34,51],"end-to-end":[35],"deep":[36],"learning":[37],"models":[38],"have":[39],"been":[40],"proposed":[41],"to":[42,105,111,120,137,151,193],"address":[43],"OWOD":[45,114],"problem.":[46,115],"However,":[47],"these":[48,90],"approaches":[49],"face":[50],"challenges:":[52],"a)":[53],"significant":[54],"changes":[55],"in":[56],"both":[57],"network":[58],"architecture":[59],"and":[60,123,143,173,197],"training":[61],"procedure":[62],"are":[63,67,86],"required;":[64],"b)":[65],"they":[66],"trained":[68],"from":[69],"scratch,":[70],"which":[71],"can":[72,185],"leverage":[74],"existing":[75],"pre-trained":[76,107,148,190],"detectors;":[78],"c)":[79],"costly":[80],"annotations":[81],"for":[82],"all":[83],"classes":[85,142,203],"needed.":[87],"To":[88],"overcome":[89],"challenges,":[91],"we":[92,132],"present":[93],"a":[94,134,180],"visual":[95],"analytic":[96],"framework":[97,161],"called":[98],"OW-Adapter.":[99],"It":[100],"acts":[101],"as":[102],"adaptor":[104,184],"enable":[106],"handle":[112],"Specifically,":[116],"OW-Adapter":[117],"designed":[119],"identify,":[121],"summarize,":[122],"annotate":[124],"examples":[126],"with":[127],"minimal":[128],"human":[129],"effort.":[130],"Moreover,":[131],"introduce":[133],"lightweight":[135],"classifier":[136,146],"learn":[138],"newly":[139],"annotated":[140],"plug":[144],"into":[147],"detect":[152,194],"objects.":[154],"We":[155],"demonstrate":[156],"effectiveness":[158],"our":[160],"through":[162],"two":[163],"case":[164],"studies":[165,177],"different":[167],"domains,":[168],"including":[169],"common":[170],"recognition":[172],"autonomous":[174],"driving.":[175],"The":[176],"show":[178],"simple":[181],"yet":[182],"powerful":[183],"extend":[186],"capability":[188],"improve":[198],"performance":[200],"on":[201],"known":[202]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
