{"id":"https://openalex.org/W3120151902","doi":"https://doi.org/10.1145/3436369.3437415","title":"PruneFaceDet","display_name":"PruneFaceDet","publication_year":2020,"publication_date":"2020-10-30","ids":{"openalex":"https://openalex.org/W3120151902","doi":"https://doi.org/10.1145/3436369.3437415","mag":"3120151902"},"language":"en","primary_location":{"id":"doi:10.1145/3436369.3437415","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3436369.3437415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102312306","display_name":"Jingsheng Lin","orcid":"https://orcid.org/0009-0000-7736-5137"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I2801556517","display_name":"Ruijin Hospital","ror":"https://ror.org/01hv94n30","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801556517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingsheng Lin","raw_affiliation_strings":["Ruijin Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ruijin Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930","https://openalex.org/I2801556517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112527895","display_name":"Xu Zhao","orcid":"https://orcid.org/0000-0001-5888-8872"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhao","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071580737","display_name":"Nanfei Jiang","orcid":"https://orcid.org/0000-0002-1771-4101"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanfei Jiang","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China and School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China and School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058420913","display_name":"Jinqiao Wang","orcid":"https://orcid.org/0000-0002-9118-2780"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinqiao Wang","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China and School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China and School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"181","last_page":"186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":1.0,"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/T11448","display_name":"Face recognition and analysis","score":1.0,"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/T10057","display_name":"Face and Expression Recognition","score":0.9975000023841858,"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/T10828","display_name":"Biometric Identification and Security","score":0.9973999857902527,"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":0.8338936567306519},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.752972424030304},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.662314772605896},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.608695387840271},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5372884273529053},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5266333222389221},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5089461803436279},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.4719259738922119},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.4240444004535675},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41197535395622253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40443235635757446},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.38534122705459595},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3327144980430603},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.31637051701545715},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2939516603946686},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.2141701579093933},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08657762408256531},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07586705684661865}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8338936567306519},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.752972424030304},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.662314772605896},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.608695387840271},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5372884273529053},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5266333222389221},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5089461803436279},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4719259738922119},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.4240444004535675},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41197535395622253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40443235635757446},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.38534122705459595},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3327144980430603},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.31637051701545715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2939516603946686},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2141701579093933},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08657762408256531},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07586705684661865},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3436369.3437415","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3436369.3437415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1677182931","https://openalex.org/W1821462560","https://openalex.org/W1836465849","https://openalex.org/W2233116163","https://openalex.org/W2300242332","https://openalex.org/W2341528187","https://openalex.org/W2515385951","https://openalex.org/W2554931888","https://openalex.org/W2604998962","https://openalex.org/W2612445135","https://openalex.org/W2737121650","https://openalex.org/W2748428003","https://openalex.org/W2749491063","https://openalex.org/W2766028522","https://openalex.org/W2769044225","https://openalex.org/W2777406049","https://openalex.org/W2787178869","https://openalex.org/W2790025297","https://openalex.org/W2799404913","https://openalex.org/W2884561390","https://openalex.org/W2889877887","https://openalex.org/W2928560789","https://openalex.org/W2944788111","https://openalex.org/W2962851801","https://openalex.org/W2963145730","https://openalex.org/W2963346150","https://openalex.org/W2963363373","https://openalex.org/W2963566548","https://openalex.org/W2978832950","https://openalex.org/W2982157312","https://openalex.org/W3080865364","https://openalex.org/W3101998545","https://openalex.org/W4246399668","https://openalex.org/W4297196174","https://openalex.org/W6685225665","https://openalex.org/W6742348326","https://openalex.org/W6750227808","https://openalex.org/W6761337537","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W3092292339","https://openalex.org/W2336272890","https://openalex.org/W4308999381","https://openalex.org/W3183843611","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4308999963","https://openalex.org/W4312081214","https://openalex.org/W325114128","https://openalex.org/W4292794827"],"abstract_inverted_index":{"Face":[0],"detection":[1,74,139],"is":[2,27],"the":[3,31,48,52,66,71,80,91,98,114,117,121,126,131,167,172,175],"basic":[4],"step":[5],"of":[6,51,93,108,154,182],"many":[7],"face-analysis":[8],"tasks.":[9],"In":[10,59],"practice,":[11],"face":[12,32,73,81,138,177],"detectors":[13,33,54],"usually":[14,40],"run":[15],"on":[16,42,104,135,189],"mobile":[17],"devices":[18],"with":[19,101,120,185],"limited":[20],"memory":[21],"and":[22,84,116,143,157],"computing":[23,155],"resources.":[24],"Therefore,":[25],"it":[26],"important":[28],"to":[29,64,70],"keep":[30],"lightweight.":[34],"To":[35,89],"this":[36,60],"end,":[37],"current":[38],"methods":[39],"focus":[41],"directly":[43],"design":[44],"lightweight":[45,53,72],"detectors.":[46],"Nevertheless,":[47],"resource":[49],"consumption":[50],"could":[55,162],"be":[56],"further":[57,78],"suppressed.":[58],"paper,":[61],"we":[62,96,112],"propose":[63],"apply":[65,130],"network":[67,99],"pruning":[68,133],"method":[69],"network,":[75],"which":[76,149],"can":[77],"reduce":[79],"detector's":[82],"parameters":[83],"floating":[85],"point":[86],"operations":[87,156],"(FLOPs).":[88],"identify":[90],"channels":[92],"less":[94],"importance,":[95],"perform":[97],"training":[100],"sparsity":[102,127],"regularization":[103],"channel":[105],"scaling":[106,123],"factors":[107,124],"each":[109],"layer.":[110],"Then,":[111],"remove":[113],"connections":[115],"corresponding":[118],"weights":[119],"near-zero":[122],"after":[125],"training.":[128],"We":[129],"proposed":[132,173],"pipeline":[134],"a":[136,145,151],"state-of-the-art":[137],"method,":[140,174],"EagleEye":[141,176],"[5],":[142],"get":[144],"shrunken":[146,160],"EalgeEye":[147],"model":[148,161],"has":[150],"reduced":[152],"number":[153],"parameters.":[158],"The":[159],"achieve":[163,179],"comparable":[164],"accuracy":[165,187],"as":[166],"unpruned":[168],"model.":[169],"By":[170],"using":[171],"detector":[178],"57.2%":[180],"reduction":[181],"parameter":[183],"size":[184],"2%":[186],"loss":[188],"WiderFace":[190],"dataset.":[191]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2021-01-18T00:00:00"}
