{"id":"https://openalex.org/W2963973518","doi":"https://doi.org/10.1109/icip.2018.8451355","title":"Fd-Mobilenet: Improved Mobilenet with a Fast Downsampling Strategy","display_name":"Fd-Mobilenet: Improved Mobilenet with a Fast Downsampling Strategy","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2963973518","doi":"https://doi.org/10.1109/icip.2018.8451355","mag":"2963973518"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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/A5100695329","display_name":"Zheng Qin","orcid":"https://orcid.org/0000-0003-4373-4111"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Qin","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050642628","display_name":"Zhaoning Zhang","orcid":"https://orcid.org/0000-0001-7518-1385"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoning Zhang","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101602104","display_name":"Xiaotao Chen","orcid":"https://orcid.org/0009-0003-8024-1356"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaotao Chen","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102003608","display_name":"Changjian Wang","orcid":"https://orcid.org/0000-0002-1160-0365"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changjian Wang","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101645557","display_name":"Yuxing Peng","orcid":"https://orcid.org/0000-0002-8223-5588"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxing Peng","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":114,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1363","last_page":"1367"},"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":0.9944000244140625,"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":0.988099992275238,"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/upsampling","display_name":"Upsampling","score":0.8945201635360718},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8247692584991455},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.6993322372436523},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5946236848831177},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.558343231678009},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5562957525253296},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5157978534698486},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.48147904872894287},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.4426631033420563},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.342983603477478},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3363068103790283},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33524948358535767},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3223263919353485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25022798776626587},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08028817176818848}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.8945201635360718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8247692584991455},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.6993322372436523},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5946236848831177},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.558343231678009},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5562957525253296},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5157978534698486},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.48147904872894287},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.4426631033420563},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.342983603477478},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3363068103790283},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33524948358535767},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3223263919353485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25022798776626587},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08028817176818848},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W587794757","https://openalex.org/W639708223","https://openalex.org/W753012316","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1903029394","https://openalex.org/W1996901117","https://openalex.org/W2031489346","https://openalex.org/W2104636679","https://openalex.org/W2117539524","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2279098554","https://openalex.org/W2319920447","https://openalex.org/W2412782625","https://openalex.org/W2511730936","https://openalex.org/W2531409750","https://openalex.org/W2549139847","https://openalex.org/W2570343428","https://openalex.org/W2612445135","https://openalex.org/W2613718673","https://openalex.org/W2950967261","https://openalex.org/W2962851801","https://openalex.org/W2963125010","https://openalex.org/W2963150697","https://openalex.org/W2963163009","https://openalex.org/W2963363373","https://openalex.org/W2963446712","https://openalex.org/W2963674932","https://openalex.org/W3106250896","https://openalex.org/W4297775537","https://openalex.org/W6617368339","https://openalex.org/W6620707391","https://openalex.org/W6622239757","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6684191040","https://openalex.org/W6695314431","https://openalex.org/W6700264148","https://openalex.org/W6715287400","https://openalex.org/W6728184133","https://openalex.org/W6731892127","https://openalex.org/W6749781174","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W1855765675","https://openalex.org/W3046859795","https://openalex.org/W1505902692","https://openalex.org/W111037196","https://openalex.org/W3092613710"],"abstract_inverted_index":{"We":[0],"present":[1],"Fast-Downsampling":[2],"MobileNet":[3,96],"(FD-MobileNet),":[4],"an":[5,133],"efficient":[6],"and":[7,67,76,86,97,119,145],"accurate":[8],"network":[9],"for":[10,107],"very":[11],"limited":[12],"computational":[13,59,105],"budgets":[14],"(e.g.,":[15],"10-140":[16],"MFLOPs).":[17],"Our":[18],"key":[19],"idea":[20],"is":[21,74],"applying":[22],"a":[23,127],"fast":[24,78],"downsampling":[25,37],"strategy":[26],"to":[27],"Mobile":[28,143],"Net":[29,93,137,144,149],"framework.":[30],"In":[31],"FD-Mobile":[32,92,136],"Net,":[33],"we":[34],"perform":[35],"32\u00d7":[36],"within":[38],"12":[39,130],"layers,":[40],"only":[41],"half":[42],"the":[43,46,58,64,114,122,151],"layers":[44],"in":[45],"original":[47],"MobileNet.":[48],"This":[49],"design":[50],"brings":[51],"three":[52],"advantages:":[53],"(i)":[54],"It":[55,62,73],"remarkably":[56],"reduces":[57],"cost.":[60],"(ii)":[61],"increases":[63],"information":[65],"capacity":[66],"achieves":[68,98,138],"significant":[69],"performance":[70],"improvements.":[71],"(iii)":[72],"engineering-friendly":[75],"provides":[77],"actual":[79],"inference":[80,140],"speed.":[81],"Experiments":[82],"on":[83,113,121],"ILSVRC":[84,115],"2012":[85,116],"PASCAL":[87],"VOC":[88,123],"datasets":[89],"demonstrate":[90],"that":[91],"consistently":[94],"outperforms":[95],"comparable":[99],"results":[100],"with":[101],"ShufflieNet":[102],"under":[103,126,150],"different":[104],"budgets,":[106],"instance,":[108],"surpassing":[109],"Mobile-Net":[110],"by":[111],"5.5%":[112],"top-l":[117],"accuracy":[118],"8.3%":[120],"2007":[124],"mAP":[125],"complexity":[128],"of":[129],"MFLOPs.":[131],"On":[132],"ARM-based":[134],"device,":[135],"1.11\u00d7":[139],"speedup":[141],"over":[142,147],"1.82\u00d7":[146],"Shufflie":[148],"same":[152],"complexity.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
