{"id":"https://openalex.org/W2985190011","doi":"https://doi.org/10.1109/mmsp.2019.8901733","title":"Summary Embedded Deep Learning Object Detection Model Competition","display_name":"Summary Embedded Deep Learning Object Detection Model Competition","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2985190011","doi":"https://doi.org/10.1109/mmsp.2019.8901733","mag":"2985190011"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2019.8901733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2019.8901733","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 21st International Workshop on Multimedia Signal Processing (MMSP)","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/A5022312926","display_name":"Jiun-In Guo","orcid":"https://orcid.org/0000-0003-0402-2621"},"institutions":[{"id":"https://openalex.org/I4210149422","display_name":"Pervasive Artificial Intelligence Research Labs","ror":"https://ror.org/05qjw7v53","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210149422"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jiun-In Guo","raw_affiliation_strings":["Pervasive Artificial Intelligence Research Labs (PAIR Labs)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pervasive Artificial Intelligence Research Labs (PAIR Labs)","institution_ids":["https://openalex.org/I4210149422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007783236","display_name":"Chia\u2013Chi Tsai","orcid":"https://orcid.org/0000-0002-2318-6376"},"institutions":[{"id":"https://openalex.org/I4210149422","display_name":"Pervasive Artificial Intelligence Research Labs","ror":"https://ror.org/05qjw7v53","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210149422"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Chi Tsai","raw_affiliation_strings":["Pervasive Artificial Intelligence Research Labs (PAIR Labs)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pervasive Artificial Intelligence Research Labs (PAIR Labs)","institution_ids":["https://openalex.org/I4210149422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074738463","display_name":"Yong-Hsiang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149422","display_name":"Pervasive Artificial Intelligence Research Labs","ror":"https://ror.org/05qjw7v53","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210149422"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yong-Hsiang Yang","raw_affiliation_strings":["Pervasive Artificial Intelligence Research Labs (PAIR Labs)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pervasive Artificial Intelligence Research Labs (PAIR Labs)","institution_ids":["https://openalex.org/I4210149422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059947547","display_name":"Hung-Wei Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149422","display_name":"Pervasive Artificial Intelligence Research Labs","ror":"https://ror.org/05qjw7v53","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210149422"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hung-Wei Lin","raw_affiliation_strings":["Pervasive Artificial Intelligence Research Labs (PAIR Labs)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pervasive Artificial Intelligence Research Labs (PAIR Labs)","institution_ids":["https://openalex.org/I4210149422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040715208","display_name":"Bo-Xun Wu","orcid":"https://orcid.org/0009-0008-4456-658X"},"institutions":[{"id":"https://openalex.org/I4210149422","display_name":"Pervasive Artificial Intelligence Research Labs","ror":"https://ror.org/05qjw7v53","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210149422"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bo-Xun Wu","raw_affiliation_strings":["Pervasive Artificial Intelligence Research Labs (PAIR Labs)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pervasive Artificial Intelligence Research Labs (PAIR Labs)","institution_ids":["https://openalex.org/I4210149422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051310616","display_name":"Ted T. Kuo","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ted T. Kuo","raw_affiliation_strings":["Institute of Intelligent Systems College of Artificial Intelligence and Green Energy, National Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Systems College of Artificial Intelligence and Green Energy, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053878740","display_name":"Li-Jen Wang","orcid":"https://orcid.org/0000-0002-2263-4835"},"institutions":[{"id":"https://openalex.org/I4210149422","display_name":"Pervasive Artificial Intelligence Research Labs","ror":"https://ror.org/05qjw7v53","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210149422"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Li-Jen Wang","raw_affiliation_strings":["Pervasive Artificial Intelligence Research Labs (PAIR Labs)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pervasive Artificial Intelligence Research Labs (PAIR Labs)","institution_ids":["https://openalex.org/I4210149422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3051,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.61810509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9907000064849854,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9807999730110168,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/contest","display_name":"CONTEST","score":0.9117076396942139},{"id":"https://openalex.org/keywords/champion","display_name":"Champion","score":0.8457369208335876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6666771769523621},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.6655453443527222},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6295746564865112},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.6203761100769043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6052489280700684},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5478576421737671},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4678882658481598},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.43406885862350464},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32034626603126526},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20621025562286377},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.16186624765396118}],"concepts":[{"id":"https://openalex.org/C2777582232","wikidata":"https://www.wikidata.org/wiki/Q5013414","display_name":"CONTEST","level":2,"score":0.9117076396942139},{"id":"https://openalex.org/C2780465443","wikidata":"https://www.wikidata.org/wiki/Q852061","display_name":"Champion","level":2,"score":0.8457369208335876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6666771769523621},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.6655453443527222},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6295746564865112},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.6203761100769043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6052489280700684},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5478576421737671},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4678882658481598},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.43406885862350464},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32034626603126526},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20621025562286377},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.16186624765396118},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2019.8901733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2019.8901733","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 21st International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2612445135","https://openalex.org/W2899607431","https://openalex.org/W2950141105","https://openalex.org/W2953106684","https://openalex.org/W2963351448","https://openalex.org/W2964241181","https://openalex.org/W3106250896","https://openalex.org/W4288325606","https://openalex.org/W4297775537","https://openalex.org/W6620707391","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4214884552","https://openalex.org/W2946214509","https://openalex.org/W1527316992","https://openalex.org/W2606108738","https://openalex.org/W4286740636","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W3034745255","https://openalex.org/W4254103348"],"abstract_inverted_index":{"The":[0],"embedded":[1,33],"deep":[2],"learning":[3],"object":[4,14],"detection":[5,15],"model":[6,117],"competition":[7,78,95],"in":[8,19,29,107],"IEEE":[9],"MMSP2019":[10],"focuses":[11],"on":[12],"the":[13,83,93,112,119,127,130,133],"for":[16,43,49,64,68,123],"sensing":[17],"technology":[18],"autonomous":[20],"driving":[21],"vehicles,":[22],"which":[23,59,132],"aims":[24],"at":[25],"detecting":[26],"small":[27],"objects":[28],"worse":[30],"conditions":[31],"through":[32,55],"systems.":[34],"We":[35,51],"provide":[36],"a":[37],"dataset":[38],"with":[39],"89,002":[40],"annotated":[41,47],"images":[42,48],"training":[44],"and":[45,66,79,96,125],"1,500":[46],"validation.":[50],"test":[52],"participants'":[53],"models":[54,102],"6,000":[56],"testing":[57],"images,":[58],"are":[60,71,89],"separated":[61],"into":[62],"3,000":[63,67],"qualification":[65],"finals.":[69],"There":[70],"87":[72],"teams":[73,81,91,98],"of":[74,129],"participants":[75],"registered":[76],"this":[77],"14":[80],"submitted":[82],"team":[84,136],"composition.":[85],"At":[86,111],"last":[87],"there":[88],"nine":[90],"entering":[92],"final":[94,101],"five":[97],"submitting":[99],"their":[100],"that":[103],"can":[104],"be":[105],"realized":[106],"NVIDIA":[108],"Jetson":[109],"TX-2.":[110],"end,":[113],"only":[114],"one":[115],"team's":[116],"passed":[118],"target":[120],"accuracy":[121],"requirement":[122],"grading":[124],"became":[126],"champion":[128],"contest,":[131],"winner":[134],"is":[135],"R.JD.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}