{"id":"https://openalex.org/W4372266833","doi":"https://doi.org/10.1109/icassp49357.2023.10095439","title":"IoU-Aware Multi-Expert Cascade Network Via Dynamic Ensemble for Long-Tailed Object Detection","display_name":"IoU-Aware Multi-Expert Cascade Network Via Dynamic Ensemble for Long-Tailed Object Detection","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372266833","doi":"https://doi.org/10.1109/icassp49357.2023.10095439"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095439","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5022911737","display_name":"Wan-Cyuan Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086453","display_name":"Institute of Political Science, Academia Sinica","ror":"https://ror.org/001agqs13","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086453","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Wan-Cyuan Fan","raw_affiliation_strings":["Institute of Information Science,Academia Sinica","Graduate Institute of Communication Engineering, National Taiwan University","Academia Sinica, Institute of Information Science"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science,Academia Sinica","institution_ids":["https://openalex.org/I4210086453","https://openalex.org/I4210098366"]},{"raw_affiliation_string":"Graduate Institute of Communication Engineering, National Taiwan University","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Academia Sinica, Institute of Information Science","institution_ids":["https://openalex.org/I4210098366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103209629","display_name":"Cheng-Yao Hong","orcid":"https://orcid.org/0000-0001-8804-4582"},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I4210086453","display_name":"Institute of Political Science, Academia Sinica","ror":"https://ror.org/001agqs13","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086453","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Yao Hong","raw_affiliation_strings":["Institute of Information Science,Academia Sinica","Academia Sinica, Institute of Information Science"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science,Academia Sinica","institution_ids":["https://openalex.org/I4210086453","https://openalex.org/I4210098366"]},{"raw_affiliation_string":"Academia Sinica, Institute of Information Science","institution_ids":["https://openalex.org/I4210098366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100844705","display_name":"Yen\u2010Chi Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086453","display_name":"Institute of Political Science, Academia Sinica","ror":"https://ror.org/001agqs13","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086453","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]},{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yen-Chi Hsu","raw_affiliation_strings":["Institute of Information Science,Academia Sinica","Graduate Institute of Computer Science & Information Engineering, National Taiwan University","Academia Sinica, Institute of Information Science"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science,Academia Sinica","institution_ids":["https://openalex.org/I4210086453","https://openalex.org/I4210098366"]},{"raw_affiliation_string":"Graduate Institute of Computer Science & Information Engineering, National Taiwan University","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Academia Sinica, Institute of Information Science","institution_ids":["https://openalex.org/I4210098366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043386280","display_name":"Tyng-Luh Liu","orcid":"https://orcid.org/0000-0002-8366-5213"},"institutions":[{"id":"https://openalex.org/I4210086453","display_name":"Institute of Political Science, Academia Sinica","ror":"https://ror.org/001agqs13","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086453","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tyng-Luh Liu","raw_affiliation_strings":["Institute of Information Science,Academia Sinica","Academia Sinica, Institute of Information Science"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science,Academia Sinica","institution_ids":["https://openalex.org/I4210086453","https://openalex.org/I4210098366"]},{"raw_affiliation_string":"Academia Sinica, Institute of Information Science","institution_ids":["https://openalex.org/I4210098366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022911737"],"corresponding_institution_ids":["https://openalex.org/I16733864","https://openalex.org/I4210086453","https://openalex.org/I4210098366"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03675428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9988999962806702,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9969000220298767,"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":0.8376411199569702},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6764625310897827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.671708881855011},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6380563974380493},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.564365565776825},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5505724549293518},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5338159203529358},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.5277419686317444},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.48861414194107056},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4688872992992401},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4418456256389618},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4330022931098938},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3636954426765442}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8376411199569702},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6764625310897827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.671708881855011},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6380563974380493},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.564365565776825},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5505724549293518},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5338159203529358},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.5277419686317444},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.48861414194107056},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4688872992992401},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4418456256389618},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4330022931098938},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3636954426765442},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095439","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2102605133","https://openalex.org/W2194775991","https://openalex.org/W2570343428","https://openalex.org/W2798836702","https://openalex.org/W2948672349","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963849369","https://openalex.org/W2964241181","https://openalex.org/W2995197345","https://openalex.org/W3034601242","https://openalex.org/W3034933032","https://openalex.org/W3035054804","https://openalex.org/W3035552357","https://openalex.org/W3104182862","https://openalex.org/W3106250896","https://openalex.org/W3176659256","https://openalex.org/W3182635745","https://openalex.org/W4288088157","https://openalex.org/W4293584584","https://openalex.org/W4312577413","https://openalex.org/W4312877479","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6639102338","https://openalex.org/W6750227808","https://openalex.org/W6768920361","https://openalex.org/W6769368817","https://openalex.org/W6782287982","https://openalex.org/W6783399553","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"Object":[0],"detection":[1,163,184],"over":[2,179],"a":[3,26,116,133],"long-tailed":[4,69,112,159],"large-scale":[5],"dataset":[6,164],"is":[7],"practical,":[8],"challenging,":[9],"and":[10,150,185],"comprehensively":[11],"under-explored.":[12],"Recently":[13],"proposed":[14,168],"methods":[15],"mainly":[16],"focus":[17],"on":[18,78,156,182],"eliminating":[19],"the":[20,34,37,43,66,79,87,95,99,111,123,129,157,167,173],"imbalanced":[21],"classification":[22,96],"problem.":[23],"However,":[24],"only":[25],"few":[27],"attempts":[28],"have":[29],"been":[30],"made":[31],"to":[32,145],"consider":[33],"quality":[35],"of":[36,45,59,81,102,125,175],"predicted":[38,100],"bounding":[39,60,76,103],"boxes.":[40],"Inspired":[41],"by":[42],"observation":[44],"existing":[46],"Cascade":[47,118],"architecture,":[48],"\"detectors":[49],"with":[50],"specific":[51],"IoU":[52],"thresholds":[53],"excel":[54],"at":[55,142],"different":[56,107],"label":[57],"frequencies":[58],"boxes,\"":[61],"this":[62],"paper":[63],"first":[64],"pinpoints":[65],"issue":[67],"in":[68,110,128],"distribution.":[70,113],"A":[71],"detector":[72],"may":[73],"predict":[74],"inaccurate":[75],"boxes":[77,104],"categories":[80,109],"fewer":[82],"training":[83,130],"data":[84],"such":[85],"that":[86,121,166],"corresponding":[88],"extracted":[89],"visual":[90],"features":[91],"could":[92],"further":[93],"degrade":[94],"accuracy.":[97],"Thus,":[98],"accuracy":[101],"becomes":[105],"substantially":[106],"among":[108],"We":[114],"introduce":[115],"Multi-Expert":[117],"(MEC)":[119],"framework":[120,170],"readjusts":[122],"weight":[124],"each":[126],"category":[127],"process":[131],"via":[132],"multi-expert":[134],"loss.":[135],"Furthermore,":[136],"we":[137],"leverage":[138],"dynamic":[139],"ensemble":[140],"mechanisms":[141],"inference":[143],"time":[144],"fully":[146],"utilize":[147],"expert":[148],"detectors":[149,178],"achieve":[151],"better":[152],"performance.":[153],"Extensive":[154],"experiments":[155],"recent":[158],"large":[160],"vocabulary":[161],"object":[162,183],"show":[165],"MEC":[169],"significantly":[171],"improves":[172],"performance":[174],"most":[176],"widely-used":[177],"various":[180],"backbones":[181],"instance":[186],"segmentation":[187],"tasks.":[188]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
