{"id":"https://openalex.org/W2982065462","doi":"https://doi.org/10.1109/wacv45572.2020.9093358","title":"Progressive Domain Adaptation for Object Detection","display_name":"Progressive Domain Adaptation for Object Detection","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W2982065462","doi":"https://doi.org/10.1109/wacv45572.2020.9093358","mag":"2982065462"},"language":"en","primary_location":{"id":"doi:10.1109/wacv45572.2020.9093358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/1910.11319v1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017971565","display_name":"Han-Kai Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Han-Kai Hsu","raw_affiliation_strings":["University of California, Merced","University of California Merced"],"affiliations":[{"raw_affiliation_string":"University of California, Merced","institution_ids":["https://openalex.org/I156087764"]},{"raw_affiliation_string":"University of California Merced","institution_ids":["https://openalex.org/I156087764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101059709","display_name":"Chun-Han Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chun-Han Yao","raw_affiliation_strings":["University of California, Merced","University of California Merced"],"affiliations":[{"raw_affiliation_string":"University of California, Merced","institution_ids":["https://openalex.org/I156087764"]},{"raw_affiliation_string":"University of California Merced","institution_ids":["https://openalex.org/I156087764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112904753","display_name":"Yi\u2010Hsuan Tsai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107353","display_name":"NEC (United States)","ror":"https://ror.org/01v791m31","country_code":"US","type":"company","lineage":["https://openalex.org/I118347220","https://openalex.org/I4210107353"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi-Hsuan Tsai","raw_affiliation_strings":["NEC Laboratories America"],"affiliations":[{"raw_affiliation_string":"NEC Laboratories America","institution_ids":["https://openalex.org/I4210107353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064935846","display_name":"Wei-Chih Hung","orcid":null},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei-Chih Hung","raw_affiliation_strings":["University of California, Merced","University of California Merced"],"affiliations":[{"raw_affiliation_string":"University of California, Merced","institution_ids":["https://openalex.org/I156087764"]},{"raw_affiliation_string":"University of California Merced","institution_ids":["https://openalex.org/I156087764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090586839","display_name":"Hung-Yu Tseng","orcid":null},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hung-Yu Tseng","raw_affiliation_strings":["University of California, Merced","University of California Merced"],"affiliations":[{"raw_affiliation_string":"University of California, Merced","institution_ids":["https://openalex.org/I156087764"]},{"raw_affiliation_string":"University of California Merced","institution_ids":["https://openalex.org/I156087764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101827826","display_name":"Maneesh Singh","orcid":"https://orcid.org/0000-0003-0901-3388"},"institutions":[{"id":"https://openalex.org/I4210112936","display_name":"Verisk Analytics (United States)","ror":"https://ror.org/01xdzbt45","country_code":"US","type":"company","lineage":["https://openalex.org/I4210112936"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maneesh Singh","raw_affiliation_strings":["Verisk Analytics"],"affiliations":[{"raw_affiliation_string":"Verisk Analytics","institution_ids":["https://openalex.org/I4210112936"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418319","display_name":"Ming\u2013Hsuan Yang","orcid":"https://orcid.org/0000-0003-4848-2304"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming-Hsuan Yang","raw_affiliation_strings":["University of California, Merced","University of California Merced"],"affiliations":[{"raw_affiliation_string":"University of California, Merced","institution_ids":["https://openalex.org/I156087764"]},{"raw_affiliation_string":"University of California Merced","institution_ids":["https://openalex.org/I156087764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5017971565"],"corresponding_institution_ids":["https://openalex.org/I156087764"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00756214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"738","last_page":"746"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9991000294685364,"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"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8109961748123169},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.7749583125114441},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.7610549926757812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6795162558555603},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6371930837631226},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6216940879821777},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5628232955932617},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5555279850959778},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5353636741638184},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5075787305831909},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.497099906206131},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.4681093394756317},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4484883248806},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44750767946243286},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4472436308860779},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.44657084345817566},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3344194293022156},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08649840950965881},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.061983704566955566}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8109961748123169},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.7749583125114441},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.7610549926757812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6795162558555603},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6371930837631226},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6216940879821777},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5628232955932617},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5555279850959778},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5353636741638184},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5075787305831909},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.497099906206131},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.4681093394756317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4484883248806},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44750767946243286},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4472436308860779},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.44657084345817566},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3344194293022156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08649840950965881},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.061983704566955566},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wacv45572.2020.9093358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"mag:2982065462","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1910.11319v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"mag:2982065462","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1910.11319v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1565327149","https://openalex.org/W2088049833","https://openalex.org/W2108598243","https://openalex.org/W2115699968","https://openalex.org/W2128053425","https://openalex.org/W2150066425","https://openalex.org/W2159291411","https://openalex.org/W2187089797","https://openalex.org/W2340897893","https://openalex.org/W2511131004","https://openalex.org/W2562192638","https://openalex.org/W2570343428","https://openalex.org/W2584009249","https://openalex.org/W2593768305","https://openalex.org/W2748021867","https://openalex.org/W2796347433","https://openalex.org/W2799352588","https://openalex.org/W2894931878","https://openalex.org/W2910424828","https://openalex.org/W2955889502","https://openalex.org/W2962793481","https://openalex.org/W2962808524","https://openalex.org/W2962823940","https://openalex.org/W2962835968","https://openalex.org/W2963037989","https://openalex.org/W2963107255","https://openalex.org/W2963826681","https://openalex.org/W2964115968","https://openalex.org/W2964278684","https://openalex.org/W2964288524","https://openalex.org/W2969583814","https://openalex.org/W2981429991","https://openalex.org/W3106250896","https://openalex.org/W6633949838","https://openalex.org/W6637373629","https://openalex.org/W6637618735","https://openalex.org/W6639480849","https://openalex.org/W6677245018","https://openalex.org/W6683633756","https://openalex.org/W6713955831","https://openalex.org/W6720111944","https://openalex.org/W6725448924","https://openalex.org/W6730623217","https://openalex.org/W6746282794","https://openalex.org/W6750227808","https://openalex.org/W6750418324","https://openalex.org/W6750749703","https://openalex.org/W6754935415","https://openalex.org/W6757734556","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W3010381534","https://openalex.org/W2984776865","https://openalex.org/W3004569520","https://openalex.org/W3129504552","https://openalex.org/W2972158108","https://openalex.org/W3089877496","https://openalex.org/W3197481218","https://openalex.org/W3192323003","https://openalex.org/W2964314879","https://openalex.org/W3034765384","https://openalex.org/W3172438089","https://openalex.org/W3007227736","https://openalex.org/W2962970380","https://openalex.org/W2982593143","https://openalex.org/W3000097396","https://openalex.org/W3107946752","https://openalex.org/W2953816217","https://openalex.org/W3199732964","https://openalex.org/W2330762779","https://openalex.org/W2971764038"],"abstract_inverted_index":{"Recent":[0],"deep":[1],"learning":[2,119],"methods":[3],"for":[4],"object":[5],"detection":[6],"rely":[7],"on":[8,32,162],"a":[9,35,41,53,61,129],"large":[10,54],"amount":[11],"of":[12,159],"bounding":[13],"box":[14],"annotations.":[15],"Collecting":[16],"these":[17],"annotations":[18],"is":[19,96,133],"laborious":[20],"and":[21,70,87],"costly,":[22],"yet":[23],"supervised":[24],"models":[25],"do":[26],"not":[27],"generalize":[28],"well":[29],"when":[30],"testing":[31,50],"images":[33,102],"from":[34],"different":[36],"distribution.":[37],"Domain":[38],"adaptation":[39,60,91],"provides":[40],"solution":[42],"by":[43,98],"adapting":[44],"existing":[45],"labels":[46],"to":[47,66,78,103,120,135],"the":[48,80,100,105,108,113,124,142,154,160,163],"target":[49,109,164],"data.":[51],"However,":[52],"gap":[55,82],"between":[56],"domains":[57],"could":[58],"make":[59],"challenging":[62],"task,":[63],"which":[64],"leads":[65],"unstable":[67],"training":[68],"processes":[69],"sub-optimal":[71],"results.":[72],"In":[73,127],"this":[74],"paper,":[75],"we":[76,116],"propose":[77],"bridge":[79],"domain":[81,86,95],"with":[83,137],"an":[84],"intermediate":[85,94,143],"progressively":[88],"solve":[89],"easier":[90],"subtasks.":[92],"This":[93],"constructed":[97],"translating":[99],"source":[101],"mimic":[104],"ones":[106],"in":[107,141,157],"domain.":[110,144,165],"To":[111],"tackle":[112],"domain-shift":[114],"problem,":[115],"adopt":[117],"adversarial":[118],"align":[121],"distributions":[122],"at":[123],"feature":[125],"level.":[126],"addition,":[128],"weighted":[130],"task":[131],"loss":[132],"applied":[134],"deal":[136],"unbalanced":[138],"image":[139],"quality":[140],"Experimental":[145],"results":[146],"show":[147],"that":[148],"our":[149],"method":[150,156],"performs":[151],"favorably":[152],"against":[153],"state-of-the-art":[155],"terms":[158],"performance":[161]},"counts_by_year":[],"updated_date":"2026-01-10T23:39:48.068659","created_date":"2025-10-10T00:00:00"}
