{"id":"https://openalex.org/W2605229985","doi":"https://doi.org/10.1109/icip.2017.8297021","title":"Towards thinner convolutional neural networks through gradually global pruning","display_name":"Towards thinner convolutional neural networks through gradually global pruning","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2605229985","doi":"https://doi.org/10.1109/icip.2017.8297021","mag":"2605229985"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8297021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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/A5100601073","display_name":"Zhengtao Wang","orcid":"https://orcid.org/0000-0003-2797-4625"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhengtao Wang","raw_affiliation_strings":["School of Electronic Engineering / Center of Robotics, University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering / Center of Robotics, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034427070","display_name":"Ce Zhu","orcid":"https://orcid.org/0000-0001-7607-707X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ce Zhu","raw_affiliation_strings":["School of Electronic Engineering / Center of Robotics, University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering / Center of Robotics, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103014637","display_name":"Zhiqiang Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Xia","raw_affiliation_strings":["School of Electronic Engineering / Center of Robotics, University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering / Center of Robotics, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101834321","display_name":"Qi Guo","orcid":"https://orcid.org/0000-0002-8329-7668"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Guo","raw_affiliation_strings":["School of Electronic Engineering / Center of Robotics, University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering / Center of Robotics, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100610065","display_name":"Yipeng Liu","orcid":"https://orcid.org/0000-0003-2084-8781"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yipeng Liu","raw_affiliation_strings":["School of Electronic Engineering / Center of Robotics, University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering / Center of Robotics, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100601073"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.091,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.42887552,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"28","issue":null,"first_page":"3939","last_page":"3943"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.8624947667121887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7470611333847046},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.7458323240280151},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6220862865447998},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6011099815368652},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5901337265968323},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5487627387046814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5323636531829834},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.49546921253204346},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.44782957434654236},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42361730337142944},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.41172653436660767},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35335978865623474},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1912478506565094}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8624947667121887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7470611333847046},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.7458323240280151},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6220862865447998},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6011099815368652},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5901337265968323},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5487627387046814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5323636531829834},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.49546921253204346},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.44782957434654236},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42361730337142944},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.41172653436660767},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35335978865623474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1912478506565094},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8297021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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":40,"referenced_works":["https://openalex.org/W28170644","https://openalex.org/W1686810756","https://openalex.org/W1724438581","https://openalex.org/W1798945469","https://openalex.org/W1902041153","https://openalex.org/W2114766824","https://openalex.org/W2123469553","https://openalex.org/W2125389748","https://openalex.org/W2161591461","https://openalex.org/W2163605009","https://openalex.org/W2167215970","https://openalex.org/W2172166488","https://openalex.org/W2193413348","https://openalex.org/W2194775991","https://openalex.org/W2276892413","https://openalex.org/W2300242332","https://openalex.org/W2319920447","https://openalex.org/W2405920868","https://openalex.org/W2555421572","https://openalex.org/W2560017826","https://openalex.org/W2950248853","https://openalex.org/W2952432176","https://openalex.org/W2952899695","https://openalex.org/W2962965870","https://openalex.org/W2962988160","https://openalex.org/W2963674932","https://openalex.org/W4302088125","https://openalex.org/W6601157357","https://openalex.org/W6637373629","https://openalex.org/W6637709462","https://openalex.org/W6638060716","https://openalex.org/W6677103964","https://openalex.org/W6683826617","https://openalex.org/W6684191040","https://openalex.org/W6684563725","https://openalex.org/W6685405536","https://openalex.org/W6685627644","https://openalex.org/W6687483927","https://openalex.org/W6687566353","https://openalex.org/W6698200048"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W4377865163","https://openalex.org/W3193857078","https://openalex.org/W2888956734"],"abstract_inverted_index":{"Deep":[0],"network":[1,133],"pruning":[2,26,30,53,61,102],"is":[3,117],"an":[4],"effective":[5,119],"method":[6,83],"to":[7,21,84,94],"reduce":[8],"the":[9,38,76,86,90,96,107,111],"storage":[10],"and":[11,35,40,70,116],"computation":[12],"cost":[13],"of":[14,66,92],"deep":[15,121],"neural":[16],"networks":[17],"when":[18],"applying":[19],"them":[20],"resource-limited":[22],"devices.":[23],"Among":[24],"many":[25],"granularities,":[27],"neuron":[28,56],"level":[29,57],"will":[31],"remove":[32],"redundant":[33],"neurons":[34,67,93],"filters":[36],"in":[37,42,75,88,109,113,131],"model":[39],"result":[41],"thinner":[43,129],"networks.":[44,122],"In":[45,59],"this":[46],"paper,":[47],"we":[48],"propose":[49,80],"a":[50,63,81,128,135],"gradually":[51],"global":[52],"scheme":[54,97,105,124],"for":[55,120],"pruning.":[58],"each":[60,114],"step,":[62],"small":[64],"percent":[65],"were":[68],"selected":[69],"dropped":[71],"across":[72],"all":[73],"layers":[74],"model.":[77],"We":[78],"also":[79],"simple":[82],"eliminate":[85],"biases":[87],"evaluating":[89],"importance":[91],"make":[95],"feasible.":[98],"Compared":[99],"with":[100],"layer-wise":[101],"scheme,":[103],"our":[104],"avoid":[106],"difficulty":[108],"determining":[110],"redundancy":[112],"layer":[115],"more":[118],"Our":[123],"would":[125],"automatically":[126],"find":[127],"sub-network":[130],"original":[132],"under":[134],"given":[136],"performance.":[137]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
