{"id":"https://openalex.org/W2982047774","doi":"https://doi.org/10.1145/3343031.3356074","title":"A Hierarchical Framwork with Improved Loss for Large-scale Multi-modal Video Identification","display_name":"A Hierarchical Framwork with Improved Loss for Large-scale Multi-modal Video Identification","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2982047774","doi":"https://doi.org/10.1145/3343031.3356074","mag":"2982047774"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3356074","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3356074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","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/A5015311773","display_name":"Shichuan Zhang","orcid":"https://orcid.org/0000-0001-7688-6870"},"institutions":[{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shichuan Zhang","raw_affiliation_strings":["Shanghai Advanced Research Institute, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Advanced Research Institute, Shanghai, China","institution_ids":["https://openalex.org/I4210111959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075741019","display_name":"Zengming Tang","orcid":"https://orcid.org/0000-0001-5485-1829"},"institutions":[{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengming Tang","raw_affiliation_strings":["Shanghai Advanced Research Institute, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Advanced Research Institute, Shanghai, China","institution_ids":["https://openalex.org/I4210111959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103062222","display_name":"Hao Pan","orcid":"https://orcid.org/0000-0001-9324-0545"},"institutions":[{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Pan","raw_affiliation_strings":["Shanghai Advanced Research Institute, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Advanced Research Institute, Shanghai, China","institution_ids":["https://openalex.org/I4210111959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064546565","display_name":"Xinyu Wei","orcid":"https://orcid.org/0000-0003-2318-6912"},"institutions":[{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Wei","raw_affiliation_strings":["Shanghai Advanced Research Institute, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Advanced Research Institute, Shanghai, China","institution_ids":["https://openalex.org/I4210111959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108705811","display_name":"Jun Huang","orcid":"https://orcid.org/0000-0003-4939-3880"},"institutions":[{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Huang","raw_affiliation_strings":["Shanghai Advanced Research Institute, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Advanced Research Institute, Shanghai, China","institution_ids":["https://openalex.org/I4210111959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5015311773"],"corresponding_institution_ids":["https://openalex.org/I4210111959"],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4504752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2539","last_page":"2542"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9995999932289124,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9995999932289124,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T11309","display_name":"Music and Audio Processing","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8128226399421692},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.7060325145721436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6707367300987244},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6020448803901672},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5813701748847961},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5811524391174316},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5364131927490234},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5100274682044983},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4724336564540863},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46617555618286133},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4167363941669464},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07166251540184021}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8128226399421692},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.7060325145721436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6707367300987244},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6020448803901672},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5813701748847961},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5811524391174316},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5364131927490234},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5100274682044983},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4724336564540863},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46617555618286133},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4167363941669464},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07166251540184021},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3343031.3356074","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3356074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","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":5,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W2025653905","https://openalex.org/W2619947201","https://openalex.org/W2896339699","https://openalex.org/W2969985801"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W4243305035","https://openalex.org/W1537496349","https://openalex.org/W2379407973","https://openalex.org/W2350267540"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"our":[3,99,111],"solution":[4],"for":[5,89],"iQIYI":[6],"Celebrity":[7],"Video":[8],"Identification":[9],"Challenge.":[10],"After":[11],"analyzing":[12],"the":[13,18,21,33,37,57,64,90,107,115],"iQIYI-VID-2019":[14],"dataset,":[15,65],"we":[16,43,66,83],"find":[17],"distribution":[19],"of":[20,92],"dataset":[22],"is":[23],"very":[24],"unbalanced":[25],"and":[26,36,52,60,70,103,119],"there":[27],"are":[28],"many":[29],"unlabeled":[30],"samples":[31],"in":[32,63],"validation":[34],"set":[35],"test":[38],"set.":[39],"For":[40,56],"these":[41],"challenge,":[42],"propose":[44],"a":[45,68],"hierarchical":[46],"system":[47],"which":[48],"combines":[49],"different":[50],"models":[51],"fuses":[53],"base":[54,93],"classifiers.":[55,94],"false":[58],"detections":[59],"low-quality":[61],"features":[62],"use":[67],"simple":[69],"reasonable":[71],"strategy":[72],"to":[73,78],"fuse":[74],"features.":[75],"In":[76],"order":[77],"detect":[79],"videos":[80],"more":[81],"accurately,":[82],"choose":[84],"an":[85],"improved":[86],"loss":[87],"function":[88],"learning":[91],"Experiment":[95],"results":[96],"show":[97],"that":[98,110],"framework":[100],"performs":[101],"well":[102],"evaluation":[104],"conducted":[105],"by":[106],"organizers":[108],"shows":[109],"final":[112],"result":[113],"gets":[114],"ninth":[116],"place":[117],"online":[118],"mAP":[120],"88.08%.":[121]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}