{"id":"https://openalex.org/W2907465611","doi":"https://doi.org/10.1109/sips.2018.8598453","title":"Filter-based Deep-Compression with Global Average Pooling for Convolutional Networks","display_name":"Filter-based Deep-Compression with Global Average Pooling for Convolutional Networks","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2907465611","doi":"https://doi.org/10.1109/sips.2018.8598453","mag":"2907465611"},"language":"en","primary_location":{"id":"doi:10.1109/sips.2018.8598453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips.2018.8598453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Workshop on Signal Processing Systems (SiPS)","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/A5024344427","display_name":"Ting-Yun Hsiao","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ting-Yun Hsiao","raw_affiliation_strings":["National Tsing-Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing-Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061085316","display_name":"Yung-Chang Chang","orcid":"https://orcid.org/0000-0003-4107-7787"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yung-Chang Chang","raw_affiliation_strings":["National Tsing-Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing-Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016723773","display_name":"Ching\u2010Te Chiu","orcid":"https://orcid.org/0000-0003-2818-1125"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Te Chiu","raw_affiliation_strings":["National Tsing-Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing-Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.636,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.7550049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"abs 1510 149","issue":null,"first_page":"247","last_page":"251"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9965999722480774,"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/pooling","display_name":"Pooling","score":0.8122696280479431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7701389193534851},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6955986022949219},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6639545559883118},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6415359973907471},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5865163803100586},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5683056116104126},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.44979217648506165},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4497513473033905},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.4334961473941803},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.42932936549186707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4019484519958496},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3383941054344177},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.25185322761535645},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.08988520503044128}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8122696280479431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7701389193534851},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6955986022949219},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6639545559883118},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6415359973907471},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5865163803100586},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5683056116104126},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44979217648506165},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4497513473033905},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.4334961473941803},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.42932936549186707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4019484519958496},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3383941054344177},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.25185322761535645},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.08988520503044128},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","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/sips.2018.8598453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips.2018.8598453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Workshop on Signal Processing Systems (SiPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1799366690","https://openalex.org/W1841592590","https://openalex.org/W2117539524","https://openalex.org/W2155893237","https://openalex.org/W2167215970","https://openalex.org/W2172166488","https://openalex.org/W2233116163","https://openalex.org/W2294543795","https://openalex.org/W2495425901","https://openalex.org/W2612616507","https://openalex.org/W2754084392","https://openalex.org/W2950248853","https://openalex.org/W2962965870","https://openalex.org/W2962988160","https://openalex.org/W2963374099","https://openalex.org/W2963674932","https://openalex.org/W2964233199","https://openalex.org/W2964299589","https://openalex.org/W6637373629","https://openalex.org/W6638444622","https://openalex.org/W6638783484","https://openalex.org/W6684563725","https://openalex.org/W6685405536","https://openalex.org/W6685627644","https://openalex.org/W6696912008","https://openalex.org/W6723181079","https://openalex.org/W6726275242"],"related_works":["https://openalex.org/W2768628697","https://openalex.org/W1973200086","https://openalex.org/W1965503293","https://openalex.org/W2388481516","https://openalex.org/W2088378984","https://openalex.org/W2356662348","https://openalex.org/W2386366915","https://openalex.org/W4220868150","https://openalex.org/W2141840609","https://openalex.org/W2352008669"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2,8],"are":[3,25,86],"powerful,":[4],"but":[5],"using":[6],"these":[7],"is":[9,40],"both":[10],"memory":[11,89],"and":[12,19,54,122,147,155],"time":[13,45],"consuming":[14],"for":[15],"their":[16],"numerous":[17],"parameters":[18],"large":[20],"amounts":[21],"of":[22,36,44,51,71,150,163],"computation.":[23],"There":[24],"many":[26,61],"studies":[27,62],"in":[28,141],"compressing":[29,38],"the":[30,33,37,47,56,59,69,83,93,97,104,115,119,124,129,153,160],"models.":[31,57],"On":[32,58],"parameter-level,":[34],"one":[35],"methods":[39],"to":[41,65,80,110,118],"spend":[42],"lots":[43],"performing":[46,123],"iterative":[48],"process":[49],"consisting":[50],"pruning":[52,102],"weights":[53],"fine-tuning":[55],"bit-level,":[60],"use":[63],"quantization":[64],"cut":[66],"down":[67],"on":[68,82,103,128,152],"number":[70],"need":[72],"bits.":[73],"Hence,":[74],"we":[75,134],"propose":[76],"an":[77],"efficient":[78],"strategy":[79],"compress":[81,92],"layers":[84],"which":[85],"computation":[87],"or":[88],"consuming.":[90],"We":[91],"model":[94,131],"by":[95],"adding":[96],"global":[98],"average":[99],"pooling,":[100],"iteratively":[101],"filters":[105],"with":[106,144,159],"proposed":[107],"order-deciding":[108],"scheme":[109],"prune":[111],"more":[112],"efficiently,":[113],"applying":[114],"truncated":[116],"SVD":[117],"fully-connected":[120],"layer,":[121],"two-stage":[125],"quantization.":[126],"Experiments":[127],"VGG16":[130],"show":[132],"that":[133],"can":[135],"reach":[136],"a":[137],"60.9\u00d7":[138],"compression":[139],"ratio":[140],"off-line":[142],"storage":[143],"about":[145],"0.848%":[146],"0.1378%":[148],"loss":[149],"accuracy":[151],"top-1":[154],"top-5":[156],"classification":[157],"results":[158],"validation":[161],"dataset":[162],"ILSVRC2012.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}