{"id":"https://openalex.org/W3122382602","doi":"https://doi.org/10.1109/access.2021.3051504","title":"Progressive Kernel Pruning Based on the Information Mapping Sparse Index for CNN Compression","display_name":"Progressive Kernel Pruning Based on the Information Mapping Sparse Index for CNN Compression","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3122382602","doi":"https://doi.org/10.1109/access.2021.3051504","mag":"3122382602"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3051504","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3051504","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09321463.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09321463.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003032886","display_name":"Jihong Zhu","orcid":"https://orcid.org/0000-0001-9666-0772"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihong Zhu","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9666-0772","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080063067","display_name":"Yang Zhao","orcid":"https://orcid.org/0000-0003-2066-1992"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhao","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2066-1992","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048699364","display_name":"Jihong Pei","orcid":"https://orcid.org/0000-0002-0759-9568"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihong Pei","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0759-9568","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7762,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.72621409,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"10974","last_page":"10987"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9968000054359436,"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/T12676","display_name":"Machine Learning and ELM","score":0.9902999997138977,"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":0.8128558397293091},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7735041975975037},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7072455883026123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5091051459312439},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4508131444454193},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27959680557250977}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8128558397293091},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7735041975975037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7072455883026123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5091051459312439},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4508131444454193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27959680557250977},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3051504","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3051504","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09321463.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d931dee906cd414fa8fdb12e9e0780c0","is_oa":true,"landing_page_url":"https://doaj.org/article/d931dee906cd414fa8fdb12e9e0780c0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 10974-10987 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3051504","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3051504","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09321463.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2856990048","display_name":"\u5fc3\u810f\u8fd0\u52a8\u6a21\u578b\u4f30\u8ba1\u4e2d\u7684\u6df1\u5ea6\u5b66\u4e60\u5f62\u72b6\u5339\u914d\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61871269","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3638491687","display_name":"\u7c7b\u7a7a\u95f4\u591a\u5c42\u6b21\u7279\u5f81\u9a71\u52a8\u7684\u4f4e\u5206\u8fa8\u7387\u56fe\u50cf\u76ee\u6807\u8bc6\u522b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62071303","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6380130853","display_name":null,"funder_award_id":"2019A1515011861","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3122382602.pdf","grobid_xml":"https://content.openalex.org/works/W3122382602.grobid-xml"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W566555209","https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W2108598243","https://openalex.org/W2119144962","https://openalex.org/W2125389748","https://openalex.org/W2194775991","https://openalex.org/W2285660444","https://openalex.org/W2339473870","https://openalex.org/W2515385951","https://openalex.org/W2554242204","https://openalex.org/W2555182955","https://openalex.org/W2619096655","https://openalex.org/W2771655537","https://openalex.org/W2807830168","https://openalex.org/W2807961551","https://openalex.org/W2808168148","https://openalex.org/W2891999520","https://openalex.org/W2892278989","https://openalex.org/W2899771611","https://openalex.org/W2924515500","https://openalex.org/W2928560789","https://openalex.org/W2952088488","https://openalex.org/W2952164265","https://openalex.org/W2952746978","https://openalex.org/W2962851801","https://openalex.org/W2962965870","https://openalex.org/W2963000224","https://openalex.org/W2963037989","https://openalex.org/W2963063317","https://openalex.org/W2963094099","https://openalex.org/W2963145730","https://openalex.org/W2963163009","https://openalex.org/W2963223345","https://openalex.org/W2963363373","https://openalex.org/W2963382930","https://openalex.org/W2963674932","https://openalex.org/W2963828549","https://openalex.org/W2964023041","https://openalex.org/W2964233199","https://openalex.org/W2964299589","https://openalex.org/W2964622438","https://openalex.org/W2966256598","https://openalex.org/W2970860468","https://openalex.org/W2970958999","https://openalex.org/W2976540144","https://openalex.org/W2991849637","https://openalex.org/W2997768846","https://openalex.org/W3000865935","https://openalex.org/W3024605841","https://openalex.org/W3038830718","https://openalex.org/W3100837220","https://openalex.org/W3106250896","https://openalex.org/W3118608800","https://openalex.org/W4233428539","https://openalex.org/W4300081896","https://openalex.org/W6637373629","https://openalex.org/W6677103964","https://openalex.org/W6677580257","https://openalex.org/W6678583879","https://openalex.org/W6703780166","https://openalex.org/W6725543821","https://openalex.org/W6726275242","https://openalex.org/W6729623471","https://openalex.org/W6732814185","https://openalex.org/W6733877748","https://openalex.org/W6738642365","https://openalex.org/W6745499552","https://openalex.org/W6754706836","https://openalex.org/W6754938779","https://openalex.org/W6755034786","https://openalex.org/W6762450006","https://openalex.org/W6767584280","https://openalex.org/W6772652401","https://openalex.org/W6785652829","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Network":[0],"pruning":[1,27,45,92,97,132,167,183,200,228,246],"can":[2,168],"effectively":[3],"reduce":[4],"a":[5,42,81,254],"model's":[6],"capacity":[7],"and":[8,68,137,187,211,259,268,278],"computational":[9],"load,":[10],"thereby":[11],"making":[12],"model":[13,31,49,79,176,192,221,237,252],"deployment":[14],"in":[15,65,73,184,201,234],"mobile":[16],"devices":[17],"less":[18],"difficult":[19],"than":[20,271],"that":[21,174,215,240,288],"without":[22],"pruning.":[23],"To":[24],"improve":[25],"the":[26,30,34,53,63,66,71,74,78,95,102,113,117,122,128,133,141,143,146,160,172,175,185,191,202,209,218,224,236,272,279,290],"rate":[28],"of":[29,116,124,135,163,171,257,263,289],"while":[32],"maintaining":[33],"kernel's":[35],"feature":[36],"extraction":[37],"ability,":[38],"this":[39,99],"paper":[40,100],"designs":[41],"progressive":[43,90,226],"kernel":[44,91,96,119,166,182,199,227],"method":[46,60,229],"for":[47],"CNN":[48,220],"compression":[50,83,222,232,238,255],"based":[51],"on":[52,208,248],"proposed":[54],"information":[55,103,125,156],"mapping":[56,104,114,148],"sparsity":[57],"index.":[58],"This":[59],"first":[61],"prunes":[62,70],"kernels":[64,72,134,144],"filter":[67],"then":[69],"convolution":[75,118,129],"layer":[76,203],"when":[77,181,198],"reaches":[80],"certain":[82],"ratio.":[84],"The":[85,205],"whole":[86],"process":[87],"is":[88,109,177],"called":[89],"(PKP).":[93],"For":[94],"process,":[98],"defines":[101],"sparse":[105],"index":[106],"(IMSI),":[107],"which":[108,265],"used":[110],"to":[111,121,140,152,179,217,287],"measure":[112],"ability":[115],"related":[120],"amount":[123],"transferred":[126],"by":[127,283],"operation.":[130],"When":[131],"filters":[136],"layers,":[138],"according":[139],"IMSI,":[142],"with":[145,159,250],"strongest":[147],"abilities":[149],"are":[150,241,266],"retained":[151],"transfer":[153],"as":[154,157],"much":[155],"possible":[158],"least":[161],"number":[162],"kernels.":[164],"Progressive":[165],"make":[169],"use":[170],"characteristic":[173],"easy":[178],"optimize":[180],"filter,":[186],"it":[188],"avoids":[189],"having":[190],"easily":[193],"fall":[194],"into":[195],"local":[196],"optima":[197],"directly.":[204],"experimental":[206],"results":[207,274],"CIFAR-10/100":[210],"ImageNet":[212],"datasets":[213],"show":[214],"compared":[216],"existing":[219],"methods,":[223],"IMSI-based":[225],"exhibits":[230],"better":[231],"performance":[233],"processing":[235],"tasks":[239],"currently":[242],"popular.":[243],"In":[244],"particular,":[245],"VGG-16":[247],"CIFAR-10":[249],"our":[251],"achieves":[253],"ratio":[256,262],"80.8x":[258],"an":[260],"acceleration":[261],"14.8\u00d7,":[264],"5.8\u00d7":[267],"4.2\u00d7":[269],"higher":[270],"best":[273],"at":[275],"present,":[276],"respectively,":[277],"classification":[280],"accuracy":[281],"decreases":[282],"only":[284],"0.59%":[285],"relative":[286],"baseline.":[291]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}