{"id":"https://openalex.org/W4386365967","doi":"https://doi.org/10.18293/seke2023-114","title":"BDC-FR: Faster R-CNN with Balanced Domain Classifier for Cross-Domain Object Detection (S)","display_name":"BDC-FR: Faster R-CNN with Balanced Domain Classifier for Cross-Domain Object Detection (S)","publication_year":2023,"publication_date":"2023-07-01","ids":{"openalex":"https://openalex.org/W4386365967","doi":"https://doi.org/10.18293/seke2023-114"},"language":"en","primary_location":{"id":"doi:10.18293/seke2023-114","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2023-114","pdf_url":"https://doi.org/10.18293/seke2023-114","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.18293/seke2023-114","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101091652","display_name":"Shouhong Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouhong Wan","raw_affiliation_strings":["School of Computer Science and Technology University of Science and Technology of China Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology University of Science and Technology of China Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101523703","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0003-0689-903X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":["School of Computer Science and Technology University of Science and Technology of China Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology University of Science and Technology of China Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087025546","display_name":"Peiquan Jin","orcid":"https://orcid.org/0000-0002-3871-0548"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiquan Jin","raw_affiliation_strings":["School of Computer Science and Technology University of Science and Technology of China Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology University of Science and Technology of China Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052468363","display_name":"Xuebin Yang","orcid":"https://orcid.org/0000-0002-0144-2826"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuebin Yang","raw_affiliation_strings":["School of Computer Science and Technology University of Science and Technology of China Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology University of Science and Technology of China Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052468363"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10742598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2023","issue":null,"first_page":"697","last_page":"700"},"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":0.9991000294685364,"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":0.9991000294685364,"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":0.9988999962806702,"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":0.9952999949455261,"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/classifier","display_name":"Classifier (UML)","score":0.8550993204116821},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.73482346534729},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.668329119682312},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6281726360321045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6180393695831299},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5200221538543701},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5136639475822449},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.41304081678390503},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38547971844673157},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16341492533683777}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.8550993204116821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73482346534729},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.668329119682312},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6281726360321045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6180393695831299},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5200221538543701},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5136639475822449},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41304081678390503},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38547971844673157},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16341492533683777},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"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/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18293/seke2023-114","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2023-114","pdf_url":"https://doi.org/10.18293/seke2023-114","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18293/seke2023-114","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2023-114","pdf_url":"https://doi.org/10.18293/seke2023-114","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3319194785","display_name":null,"funder_award_id":"2208085MF157","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386365967.pdf","grobid_xml":"https://content.openalex.org/works/W4386365967.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1882958252","https://openalex.org/W2115579991","https://openalex.org/W2340897893","https://openalex.org/W2528963632","https://openalex.org/W2613718673","https://openalex.org/W2748021867","https://openalex.org/W2905357333","https://openalex.org/W2963730616","https://openalex.org/W2964115968","https://openalex.org/W2966798122","https://openalex.org/W2968634921","https://openalex.org/W3006800054","https://openalex.org/W3010456692","https://openalex.org/W3012101827","https://openalex.org/W3012880124","https://openalex.org/W3035616052","https://openalex.org/W3035673985","https://openalex.org/W3135497965","https://openalex.org/W3166409449","https://openalex.org/W3180426564","https://openalex.org/W4221163994","https://openalex.org/W4313160378","https://openalex.org/W4320013936","https://openalex.org/W6677174981","https://openalex.org/W6749414244"],"related_works":["https://openalex.org/W3080655457","https://openalex.org/W4389474468","https://openalex.org/W3166286441","https://openalex.org/W3214142563","https://openalex.org/W2945706271","https://openalex.org/W4387435415","https://openalex.org/W3136267388","https://openalex.org/W3186065094","https://openalex.org/W4287263085","https://openalex.org/W3093803318"],"abstract_inverted_index":{"Object":[0],"detectors":[1],"trained":[2],"with":[3,15,131],"massive":[4],"labeled":[5],"data":[6,16],"often":[7],"suffer":[8],"performance":[9,146],"degradation":[10],"in":[11,26,43,46],"some":[12],"particular":[13],"scenarios":[14],"distribution":[17],"gap.":[18],"Domain":[19,133],"classifier":[20,66,79],"is":[21],"a":[22,62,123],"commonly":[23],"used":[24],"method":[25],"the":[27,34,77,81,87,101,116,145,148],"existing":[28],"domain":[29,35,65,72,78],"adaptation":[30],"algorithms":[31],"to":[32,52,105],"alleviate":[33],"discrepancy.":[36],"However,":[37],"it":[38],"has":[39],"problems":[40],"of":[41,147],"instability":[42],"training,":[44],"difficulty":[45],"obtaining":[47],"optimal":[48],"solutions":[49],"and":[50,80,111],"converging":[51],"an":[53,93,106],"equilibrium":[54,85,107],"point.":[55],"To":[56],"tackle":[57],"this":[58],"issue,":[59],"we":[60,91,121],"propose":[61,92,122],"novel":[63],"balanced":[64],"(BDC),":[67],"which":[68,99],"not":[69],"only":[70],"eliminates":[71],"discrepancy":[73],"but":[74],"also":[75],"makes":[76,100],"feature":[82],"extractor":[83],"maintain":[84],"during":[86],"adversarial":[88],"learning.":[89],"Furthermore,":[90],"appropriate":[94],"learning":[95],"rate":[96],"adjustment":[97],"strategy,":[98],"detection":[102,126,151],"model":[103,127],"converge":[104],"point":[108],"more":[109,112],"stably":[110],"rapidly.":[113],"Based":[114],"on":[115],"domain-invariant":[117],"region":[118],"proposal":[119],"network,":[120],"cross-domain":[124,149],"object":[125,150],"called":[128],"Faster":[129],"R-CNN":[130],"Balanced":[132],"Classifier":[134],"(BDC-FR).":[135],"The":[136],"experimental":[137],"results":[138],"show":[139],"that":[140],"BDC-FR":[141],"can":[142],"effectively":[143],"improve":[144],"model.":[152]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
