{"id":"https://openalex.org/W4312250316","doi":"https://doi.org/10.1109/cvpr52688.2022.00904","title":"Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism","display_name":"Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4312250316","doi":"https://doi.org/10.1109/cvpr52688.2022.00904"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52688.2022.00904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52688.2022.00904","pdf_url":null,"source":{"id":"https://openalex.org/S4363607701","display_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5032049970","display_name":"Binbin Yang","orcid":"https://orcid.org/0000-0002-2143-2836"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Binbin Yang","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013772421","display_name":"Xinchi Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinchi Deng","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006300825","display_name":"Shi Han","orcid":"https://orcid.org/0000-0002-0360-6089"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Han Shi","raw_affiliation_strings":["The Hong Kong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700192","display_name":"Changlin Li","orcid":"https://orcid.org/0000-0002-8486-7482"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Changlin Li","raw_affiliation_strings":["ReLER, AAII, UTS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ReLER, AAII, UTS","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048961496","display_name":"Gengwei Zhang","orcid":"https://orcid.org/0000-0003-1823-502X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gengwei Zhang","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041457457","display_name":"Hang Xu","orcid":"https://orcid.org/0000-0003-3645-8972"},"institutions":[{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Hang Xu","raw_affiliation_strings":["Huawei Noah&#x0027;s Ark Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Noah&#x0027;s Ark Lab","institution_ids":["https://openalex.org/I4210159102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100661278","display_name":"Shen Zhao","orcid":"https://orcid.org/0000-0002-4698-2658"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shen Zhao","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412937","display_name":"Liang Lin","orcid":"https://orcid.org/0000-0003-2248-3755"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Lin","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047878798","display_name":"Xiaodan Liang","orcid":"https://orcid.org/0000-0003-3213-3062"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodan Liang","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5032049970"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":3.9517,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.95045045,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"9245","last_page":"9254"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9976999759674072,"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":0.9948999881744385,"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":0.7326915860176086},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7082222104072571},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6275335550308228},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6034823656082153},{"id":"https://openalex.org/keywords/gating","display_name":"Gating","score":0.6019948720932007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5612267851829529},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4829270541667938},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4749981164932251},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4185038208961487},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33111700415611267},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11820673942565918},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1139814555644989}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7326915860176086},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7082222104072571},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6275335550308228},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6034823656082153},{"id":"https://openalex.org/C194544171","wikidata":"https://www.wikidata.org/wiki/Q21105679","display_name":"Gating","level":2,"score":0.6019948720932007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5612267851829529},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4829270541667938},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4749981164932251},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4185038208961487},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33111700415611267},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11820673942565918},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1139814555644989},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr52688.2022.00904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52688.2022.00904","pdf_url":null,"source":{"id":"https://openalex.org/S4363607701","display_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-118816","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-85141773196&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6209320520","display_name":null,"funder_award_id":"2020AAA0109700","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"}],"funders":[{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":82,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1614298861","https://openalex.org/W1690739335","https://openalex.org/W1821462560","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2060277733","https://openalex.org/W2150066425","https://openalex.org/W2194775991","https://openalex.org/W2560647685","https://openalex.org/W2561238782","https://openalex.org/W2565639579","https://openalex.org/W2592790041","https://openalex.org/W2734314755","https://openalex.org/W2752037867","https://openalex.org/W2806990599","https://openalex.org/W2808439681","https://openalex.org/W2884751099","https://openalex.org/W2896006880","https://openalex.org/W2899771611","https://openalex.org/W2902625698","https://openalex.org/W2941817504","https://openalex.org/W2950014519","https://openalex.org/W2951104886","https://openalex.org/W2951287298","https://openalex.org/W2962833723","https://openalex.org/W2962966271","https://openalex.org/W2963072899","https://openalex.org/W2963351448","https://openalex.org/W2963390791","https://openalex.org/W2963393494","https://openalex.org/W2963588172","https://openalex.org/W2963813679","https://openalex.org/W2978610144","https://openalex.org/W2981748264","https://openalex.org/W2995104385","https://openalex.org/W2996409713","https://openalex.org/W3010833785","https://openalex.org/W3021931813","https://openalex.org/W3034867292","https://openalex.org/W3035071066","https://openalex.org/W3049372737","https://openalex.org/W3081700103","https://openalex.org/W3090558831","https://openalex.org/W3093610498","https://openalex.org/W3096533519","https://openalex.org/W3097816393","https://openalex.org/W3113238341","https://openalex.org/W3126595748","https://openalex.org/W3172752666","https://openalex.org/W3173563887","https://openalex.org/W3176709420","https://openalex.org/W4287814827","https://openalex.org/W4295883599","https://openalex.org/W6620707391","https://openalex.org/W6636510571","https://openalex.org/W6638523607","https://openalex.org/W6639102338","https://openalex.org/W6720711607","https://openalex.org/W6730179637","https://openalex.org/W6730903564","https://openalex.org/W6743912273","https://openalex.org/W6745447533","https://openalex.org/W6745543348","https://openalex.org/W6746266179","https://openalex.org/W6747837551","https://openalex.org/W6751913510","https://openalex.org/W6752515464","https://openalex.org/W6752530194","https://openalex.org/W6753179690","https://openalex.org/W6755526309","https://openalex.org/W6755950020","https://openalex.org/W6756040250","https://openalex.org/W6757384668","https://openalex.org/W6761158446","https://openalex.org/W6762206767","https://openalex.org/W6763000130","https://openalex.org/W6765658784","https://openalex.org/W6771784742","https://openalex.org/W6776188292","https://openalex.org/W6781960889","https://openalex.org/W6784220206"],"related_works":["https://openalex.org/W2031449089","https://openalex.org/W2112596406","https://openalex.org/W2125499229","https://openalex.org/W2072696177","https://openalex.org/W4385304246","https://openalex.org/W2732813147","https://openalex.org/W2143460112","https://openalex.org/W2042906257","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Continual":[0],"learning":[1,195],"is":[2,84,126,139,182],"a":[3,9,18,63,81,130,178],"challenging":[4],"real-world":[5],"problem":[6],"for":[7,55,68,98,148,173],"constructing":[8],"mature":[10],"AI":[11],"system":[12],"when":[13],"data":[14],"are":[15,33,92,220],"provided":[16],"in":[17,24,43,58,116],"streaming":[19],"fashion.":[20],"Despite":[21],"recent":[22],"progress":[23],"continual":[25,30,69,210],"classification,":[26],"the":[27,36,52,144,149,164,174],"researches":[28],"of":[29,41,146,196],"object":[31,70,211],"detection":[32,71,190],"impeded":[34],"by":[35,86,110],"diverse":[37],"sizes":[38],"and":[39,65,128,167,193,208],"numbers":[40],"objects":[42],"each":[44],"image.":[45],"Different":[46],"from":[47],"previous":[48],"works":[49],"that":[50,200],"tune":[51],"whole":[53],"network":[54],"all":[56,87],"tasks,":[57],"this":[59,102,117],"work,":[60],"we":[61],"present":[62],"simple":[64],"flexible":[66],"framework":[67,83],"via":[72],"pRotOtypical":[73],"taSk":[74],"corrElaTion":[75],"guided":[76,134],"gaTing":[77],"mechAnism":[78],"(ROSETTA).":[79],"Concretely,":[80],"unified":[82],"shared":[85],"tasks":[88,198],"while":[89],"task-aware":[90],"gates":[91,147,172],"introduced":[93,140],"to":[94,141,162],"automatically":[95,122],"select":[96],"sub-models":[97],"specific":[99],"tasks.":[100],"In":[101],"way,":[103],"various":[104],"knowledge":[105],"can":[106],"be":[107],"successively":[108],"memorized":[109],"storing":[111],"their":[112],"corresponding":[113],"sub-model":[114],"weights":[115],"system.":[118],"To":[119],"make":[120],"ROSETTA":[121,201],"determine":[123],"which":[124],"experience":[125],"available":[127,221],"useful,":[129],"prototypical":[131],"task":[132,151,176],"correlation":[133,160],"Gating":[135],"Diversity":[136],"Controller":[137],"(GDC)":[138],"adaptively":[142],"adjust":[143],"diversity":[145],"new":[150,175],"based":[152],"on":[153,186,191,205],"class-specific":[154],"prototypes.":[155],"GDC":[156],"module":[157],"computes":[158],"class-to-class":[159],"matrix":[161],"depict":[163],"cross-task":[165],"correlation,":[166],"hereby":[168],"activates":[169],"more":[170],"exclusive":[171],"if":[177],"significant":[179],"domain":[180],"gap":[181],"observed.":[183],"Comprehensive":[184],"experiments":[185],"COCO-VOC,":[187],"KITTI-Kitchen,":[188],"class-incremental":[189],"VOC":[192],"sequential":[194],"four":[197],"show":[199],"yields":[202],"state-of-the-art":[203],"performance":[204],"both":[206],"task-based":[207],"class-based":[209],"detection.":[212],"<sup":[213,216],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[214,217],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[215,218],"Codes":[219],"at:":[222],"https://github.com/dkxocl/ROSSETA.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
