{"id":"https://openalex.org/W4402980546","doi":"https://doi.org/10.1109/icme57554.2024.10688042","title":"Slow-Fast Adaptation for Source-Free Object Detection","display_name":"Slow-Fast Adaptation for Source-Free Object Detection","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402980546","doi":"https://doi.org/10.1109/icme57554.2024.10688042"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10688042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10688042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5010577514","display_name":"Luojun Lin","orcid":"https://orcid.org/0000-0002-1141-2487"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luojun Lin","raw_affiliation_strings":["Fuzhou University,College of Computer and Data Science,Fuzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuzhou University,College of Computer and Data Science,Fuzhou,China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101602809","display_name":"Qipeng Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qipeng Liu","raw_affiliation_strings":["Fuzhou University,College of Computer and Data Science,Fuzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuzhou University,College of Computer and Data Science,Fuzhou,China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049974611","display_name":"Xiangwei Zheng","orcid":"https://orcid.org/0000-0003-4873-4567"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangwei Zheng","raw_affiliation_strings":["Fuzhou University,College of Computer and Data Science,Fuzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuzhou University,College of Computer and Data Science,Fuzhou,China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056015359","display_name":"Zheng Lin","orcid":"https://orcid.org/0000-0001-5242-716X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Lin","raw_affiliation_strings":["Tsinghua University,Department of Computer Science and Technology,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Computer Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9585999846458435,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9585999846458435,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9442999958992004,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9362999796867371,"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":0.7223966121673584},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6320967674255371},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.05972358584403992},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.05821642279624939}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7223966121673584},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6320967674255371},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.05972358584403992},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.05821642279624939}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10688042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10688042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2115579991","https://openalex.org/W2340897893","https://openalex.org/W2748021867","https://openalex.org/W2884367402","https://openalex.org/W2963730616","https://openalex.org/W2964115968","https://openalex.org/W2968634921","https://openalex.org/W2969583814","https://openalex.org/W2979548969","https://openalex.org/W2990740643","https://openalex.org/W3010381534","https://openalex.org/W3132342572","https://openalex.org/W3160505424","https://openalex.org/W3174017534","https://openalex.org/W3203098462","https://openalex.org/W3216209923","https://openalex.org/W4284708713","https://openalex.org/W4308233888","https://openalex.org/W4312502508","https://openalex.org/W4312713178","https://openalex.org/W4382468624","https://openalex.org/W4386066721","https://openalex.org/W4386160012","https://openalex.org/W4387968087","https://openalex.org/W4390872490","https://openalex.org/W4390873163"],"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/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Unsupervised":[0],"Domain":[1],"Adaptive":[2],"Object":[3,56],"Detection":[4,57],"(DAOD)":[5],"task":[6,59],"can":[7,144,160,214],"relax":[8],"the":[9,39,51,79,89,93,97,103,162,170,205,246,252],"domain":[10,41,75],"shift":[11],"problem":[12,118],"between":[13],"source":[14,25,40,69],"and":[15,26,123,148,167,197,210,219,236],"target":[16,28,74],"domains,":[17],"which":[18,46,188,244],"requires":[19],"to":[20,33,65,120,169,202],"train":[21],"models":[22,105,213],"on":[23,85,225,251],"labeled":[24],"unlabeled":[27,73],"domains":[29],"jointly.":[30],"However,":[31,110],"due":[32,119],"limitations":[34],"of":[35,78,102,164,172,248],"data":[36,42],"privacy":[37],"protection,":[38],"is":[43,96,130],"usually":[44],"inaccessible,":[45],"poses":[47],"significant":[48],"challenges":[49],"for":[50,134,153],"DAOD":[52,239],"task.":[53,254],"Hence,":[54],"Source-Free":[55],"(SFOD)":[58],"has":[60],"been":[61],"developed":[62],"that":[63,230],"aims":[64],"fine-tune":[66],"a":[67,115,125,140,156,181,194,198],"pre-trained":[68],"model":[70,95,150],"with":[71],"only":[72],"data.":[76],"Most":[77],"existing":[80],"SFOD":[81,183,253],"methods":[82,112,240],"are":[83],"based":[84],"pseudo":[86],"labeling":[87],"using":[88],"student-teacher":[90],"framework,":[91],"where":[92],"teacher":[94,192,200,212],"Exponential":[98],"Moving":[99],"Average":[100],"(EMA)":[101],"student":[104,206],"in":[106,241],"different":[107,135,191],"time":[108],"steps.":[109],"these":[111],"always":[113],"exist":[114],"knowledge":[116,146,165],"bias":[117,166],"class":[121],"imbalance,":[122],"therefore,":[124],"fixed":[126],"EMA":[127,142,158],"update":[128],"rate":[129,143,159],"no":[131],"longer":[132],"suitable":[133],"classes.":[136],"For":[137],"high-quality":[138],"classes,":[139,155],"fast":[141,157,199,211],"accelerate":[145,161],"updating":[147],"promote":[149],"convergence,":[151],"while":[152],"low-quality":[154],"accumulation":[163],"lead":[168],"collapse":[171],"such":[173],"categories.":[174],"To":[175],"solve":[176],"this":[177],"problem,":[178],"we":[179],"propose":[180],"novel":[182],"method":[184,232,250],"called":[185],"Slow-Fast":[186],"Adaptation":[187],"develops":[189],"two":[190],"models,":[193],"slow":[195,209],"teacher,":[196],"model,":[201],"jointly":[203],"guide":[204],"training.":[207],"The":[208,223],"provide":[215],"richer":[216],"supervision":[217],"information":[218],"complement":[220],"each":[221],"other.":[222],"experiments":[224],"four":[226],"benchmark":[227],"datasets":[228],"show":[229],"our":[231,249],"achieves":[233],"state-of-the-art":[234],"results":[235],"even":[237],"outperforms":[238],"some":[242],"cases,":[243],"demonstrate":[245],"effectiveness":[247]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
