{"id":"https://openalex.org/W4402754211","doi":"https://doi.org/10.1109/cvpr52733.2024.02204","title":"What, How, and When Should Object Detectors Update in Continually Changing Test Domains?","display_name":"What, How, and When Should Object Detectors Update in Continually Changing Test Domains?","publication_year":2024,"publication_date":"2024-06-16","ids":{"openalex":"https://openalex.org/W4402754211","doi":"https://doi.org/10.1109/cvpr52733.2024.02204"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52733.2024.02204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.02204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5103134818","display_name":"Jayeon Yoo","orcid":"https://orcid.org/0000-0002-8461-2260"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jayeon Yoo","raw_affiliation_strings":["Seoul National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108989730","display_name":"D.T. Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongkwan Lee","raw_affiliation_strings":["Seoul National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001948765","display_name":"Inseop Chung","orcid":"https://orcid.org/0000-0002-7701-6639"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Inseop Chung","raw_affiliation_strings":["Seoul National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454683","display_name":"Donghyun Kim","orcid":"https://orcid.org/0000-0002-7132-4454"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Donghyun Kim","raw_affiliation_strings":["Korea University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084897975","display_name":"Nojun Kwak","orcid":"https://orcid.org/0000-0002-1792-0327"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Nojun Kwak","raw_affiliation_strings":["Seoul National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1873,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89121115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"23354","last_page":"23363"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9977999925613403,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9959999918937683,"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":0.6528701782226562},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.6181730628013611},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.527116596698761},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46470963954925537},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3016936480998993},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09770876169204712},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09267255663871765}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6528701782226562},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.6181730628013611},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.527116596698761},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46470963954925537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3016936480998993},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09770876169204712},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09267255663871765},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52733.2024.02204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.02204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3217863112","display_name":null,"funder_award_id":"2021-0-01343,2022-0-00320,2019-0-00079","funder_id":"https://openalex.org/F4320319144","funder_display_name":"Indian Institute of Technology, Patna"},{"id":"https://openalex.org/G6023180618","display_name":null,"funder_award_id":"2021R1A2C3006659","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320319144","display_name":"Indian Institute of Technology, Patna","ror":"https://ror.org/01ft5vz71"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W2115579991","https://openalex.org/W2194775991","https://openalex.org/W2299668505","https://openalex.org/W2565639579","https://openalex.org/W2964277612","https://openalex.org/W2981705647","https://openalex.org/W2990069979","https://openalex.org/W2990138404","https://openalex.org/W2998545307","https://openalex.org/W3001197829","https://openalex.org/W3040572086","https://openalex.org/W3119543788","https://openalex.org/W3138516171","https://openalex.org/W3166409449","https://openalex.org/W3168867926","https://openalex.org/W3172507542","https://openalex.org/W3174017534","https://openalex.org/W3206798603","https://openalex.org/W3214432945","https://openalex.org/W3214575451","https://openalex.org/W3215113235","https://openalex.org/W4282005462","https://openalex.org/W4283066310","https://openalex.org/W4288281368","https://openalex.org/W4288404646","https://openalex.org/W4309955397","https://openalex.org/W4312665716","https://openalex.org/W4312816048","https://openalex.org/W4312897837","https://openalex.org/W4313025443","https://openalex.org/W4319300052","https://openalex.org/W4319300892","https://openalex.org/W4320458256","https://openalex.org/W4320559463","https://openalex.org/W4321649533","https://openalex.org/W4322616269","https://openalex.org/W4362510058","https://openalex.org/W4385245566","https://openalex.org/W4386065721","https://openalex.org/W4386076649","https://openalex.org/W6638667902","https://openalex.org/W6757555829","https://openalex.org/W6766313662","https://openalex.org/W6773005947","https://openalex.org/W6780178746","https://openalex.org/W6780666095","https://openalex.org/W6788125050","https://openalex.org/W6792707004","https://openalex.org/W6803227292","https://openalex.org/W6803247036","https://openalex.org/W6804111167","https://openalex.org/W6811147225","https://openalex.org/W6838010319","https://openalex.org/W6838701581","https://openalex.org/W6840679589","https://openalex.org/W6848846715","https://openalex.org/W6849665487","https://openalex.org/W6849917780","https://openalex.org/W6850568775","https://openalex.org/W6851641870","https://openalex.org/W6858005800"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2366906938","https://openalex.org/W4396696052","https://openalex.org/W2382290278"],"abstract_inverted_index":{"It":[0],"is":[1,177,184,228],"a":[2,16,86,153],"well-known":[3],"fact":[4],"that":[5],"the":[6,31,47,103,115,130,175,190],"performance":[7],"of":[8,49,102,203],"deep":[9],"learning":[10],"models":[11],"deteriorates":[12],"when":[13,112,174,181],"they":[14],"encounter":[15],"distribution":[17],"shift":[18],"at":[19,230],"test":[20,36,97,140,191],"time.":[21],"Test-time":[22],"adaptation":[23,183],"(TTA)":[24],"algorithms":[25],"have":[26],"been":[27],"proposed":[28],"to":[29,62,72,74,105,108,113,138,164,187,205],"adapt":[30,137],"model":[32,64,104,176],"online":[33,88],"while":[34,128,218],"inferring":[35],"data.":[37],"However,":[38],"existing":[39],"research":[40],"predominantly":[41],"focuses":[42],"on":[43,197],"classification":[44,54],"tasks":[45],"through":[46],"optimization":[48],"batch":[50],"normalization":[51],"layers":[52],"or":[53,180,223],"heads,":[55],"but":[56],"this":[57,82],"approach":[58,90,194],"limits":[59],"its":[60],"applicability":[61],"various":[63],"architectures":[65],"like":[66],"Transformers":[67],"and":[68,111,120,124,146,155,207,215],"makes":[69],"it":[70],"challenging":[71],"apply":[73],"other":[75],"tasks,":[76],"such":[77],"as":[78],"object":[79,92,162],"detection.":[80],"In":[81],"paper,":[83],"we":[84,134,151,169],"propose":[85],"novel":[87],"adaption":[89],"for":[91,161,211],"detection":[93,163],"in":[94,142,189,209],"continually":[95],"changing":[96],"domains,":[98],"considering":[99],"which":[100],"part":[101],"update,":[106],"how":[107],"update":[109],"it,":[110],"perform":[114],"update.":[116],"By":[117],"introducing":[118],"architecture-agnostic":[119],"lightweight":[121],"adaptor":[122],"modules":[123],"only":[125],"updating":[126],"these":[127],"leaving":[129],"pre-trained":[131],"backbone":[132],"unchanged,":[133],"can":[135],"rapidly":[136],"new":[139],"domains":[141],"an":[143],"efficient":[144],"way":[145],"prevent":[147],"catastrophic":[148],"forgetting.":[149],"Furthermore,":[150],"present":[152],"practical":[154],"straightforward":[156],"class-wise":[157],"feature":[158],"aligning":[159],"method":[160],"resolve":[165],"domain":[166],"shifts.":[167],"Additionally,":[168],"enhance":[170],"efficiency":[171],"by":[172],"determining":[173],"sufficiently":[178],"adapted":[179],"additional":[182],"needed":[185],"due":[186],"changes":[188],"distribution.":[192],"Our":[193],"surpasses":[195],"baselines":[196],"widely":[198],"used":[199],"benchmarks,":[200],"achieving":[201],"improvements":[202],"up":[204],"4.9%p":[206],"7.9%p":[208],"mAP":[210],"COCO":[212],"\u2192":[213],"COCO-corrupted":[214],"SHIFT,":[216],"respectively,":[217],"maintaining":[219],"about":[220],"20":[221],"FPS":[222],"higher.":[224],"The":[225],"implementation":[226],"code":[227],"available":[229],"https://github.com/natureyoo/ContinualTTA_ObjectDetection.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}