{"id":"https://openalex.org/W4400356061","doi":"https://doi.org/10.1109/access.2024.3423816","title":"Study of YOLOv7 Model Lightweighting Based on Group-Level Pruning","display_name":"Study of YOLOv7 Model Lightweighting Based on Group-Level Pruning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400356061","doi":"https://doi.org/10.1109/access.2024.3423816"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3423816","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3423816","pdf_url":null,"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":null,"license_id":null,"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://doi.org/10.1109/access.2024.3423816","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068297178","display_name":"Xuemei Bai","orcid":"https://orcid.org/0009-0005-7718-2185"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemei Bai","raw_affiliation_strings":["School of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0005-7718-2185","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100583114","display_name":"Hongjin Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjin Shi","raw_affiliation_strings":["School of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106406730","display_name":"Zhijun Wang","orcid":"https://orcid.org/0009-0000-1302-5838"},"institutions":[{"id":"https://openalex.org/I202028630","display_name":"Changchun Normal University","ror":"https://ror.org/00cbhey71","country_code":"CN","type":"education","lineage":["https://openalex.org/I202028630"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijun Wang","raw_affiliation_strings":["High Performance Computing Center, Changchun Normal University, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0000-1302-5838","affiliations":[{"raw_affiliation_string":"High Performance Computing Center, Changchun Normal University, Changchun, China","institution_ids":["https://openalex.org/I202028630"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111250015","display_name":"Hanping Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanping Hu","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103052176","display_name":"Chenjie Zhang","orcid":"https://orcid.org/0009-0006-1493-4383"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenjie Zhang","raw_affiliation_strings":["School of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0006-1493-4383","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"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":0.4375,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60494008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"12","issue":null,"first_page":"96138","last_page":"96149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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":0.9994000196456909,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9639999866485596,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9560999870300293,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7921885251998901},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6316113471984863},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.6158261299133301},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6001320481300354},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5194701552391052},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.495267778635025},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46169933676719666},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45863187313079834},{"id":"https://openalex.org/keywords/garbage","display_name":"Garbage","score":0.43257641792297363},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42184463143348694},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3564663529396057},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34594419598579407},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.10457924008369446}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7921885251998901},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6316113471984863},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.6158261299133301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6001320481300354},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5194701552391052},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.495267778635025},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46169933676719666},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45863187313079834},{"id":"https://openalex.org/C75403996","wikidata":"https://www.wikidata.org/wiki/Q5521979","display_name":"Garbage","level":2,"score":0.43257641792297363},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42184463143348694},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3564663529396057},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34594419598579407},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.10457924008369446},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3423816","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3423816","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:432c08f08e3843f8bfae2118e66e5036","is_oa":true,"landing_page_url":"https://doaj.org/article/432c08f08e3843f8bfae2118e66e5036","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 12, Pp 96138-96149 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3423816","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3423816","pdf_url":null,"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":null,"license_id":null,"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/G8111868358","display_name":null,"funder_award_id":"20240402060GH","funder_id":"https://openalex.org/F4320326696","funder_display_name":"Jiangxi Provincial Department of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320326696","display_name":"Jiangxi Provincial Department of Science and Technology","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1821462560","https://openalex.org/W2161969291","https://openalex.org/W2164598857","https://openalex.org/W2531409750","https://openalex.org/W2566079294","https://openalex.org/W2899793337","https://openalex.org/W2922584705","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963840672","https://openalex.org/W2965862774","https://openalex.org/W2979503749","https://openalex.org/W3092310353","https://openalex.org/W3098000693","https://openalex.org/W4210605464","https://openalex.org/W4381586827","https://openalex.org/W4386076325","https://openalex.org/W4386083031","https://openalex.org/W4392349400","https://openalex.org/W4395026341","https://openalex.org/W6639703010","https://openalex.org/W6682137061","https://openalex.org/W6684563725","https://openalex.org/W6785652829","https://openalex.org/W6854094408"],"related_works":["https://openalex.org/W4315697128","https://openalex.org/W2612848883","https://openalex.org/W3088744871","https://openalex.org/W4382053766","https://openalex.org/W3035541749","https://openalex.org/W2351860712","https://openalex.org/W4366783061","https://openalex.org/W2354724362","https://openalex.org/W4362509302","https://openalex.org/W4322770937"],"abstract_inverted_index":{"With":[0],"the":[1,46,98,105,110,115,123,135,147,153,160,168,179,183],"improvement":[2],"of":[3,48,53,66,125,149,185,202],"urbanization":[4],"and":[5,31,37,51,68,71,144,191,214,218],"living":[6],"standards,":[7],"waste":[8],"disposal":[9],"has":[10],"become":[11],"an":[12],"urgent":[13],"environmental":[14],"problem.":[15],"In":[16],"recent":[17],"years,":[18],"object":[19,38,55,90],"detection":[20,39,56,91],"networks":[21,62],"based":[22,58,93],"on":[23,59,76,94,212],"deep":[24,41,60],"learning":[25,34],"have":[26],"greatly":[27,172],"improved":[28,95],"classification":[29,89],"accuracy":[30],"speed":[32],"by":[33,158,174],"feature":[35,133],"expression":[36],"through":[40],"neural":[42,61],"networks.":[43],"However,":[44],"with":[45,178,199],"increase":[47],"model":[49,136,169],"depth":[50],"number":[52,184],"parameters,":[54],"models":[57],"require":[63],"a":[64,86,200],"lot":[65],"computing":[67],"storage":[69],"resources,":[70],"are":[72,195,222],"difficult":[73],"to":[74,104,122,131,189,197],"deploy":[75],"edge":[77],"devices.":[78],"To":[79],"solve":[80],"this":[81,83,175],"problem,":[82],"paper":[84],"proposes":[85],"lightweight":[87],"garbage":[88],"algorithm":[92],"YOLOv7.":[96,126],"Firstly,":[97],"DW-SPPFCSPC":[99],"module":[100],"is":[101,156,171,187,210],"constructed":[102],"according":[103],"depth-separable":[106],"volume":[107],"product,":[108],"replacing":[109],"original":[111,180],"SPPCSPC":[112],"module.":[113],"Second,":[114],"ECA":[116],"channel":[117,155],"attention":[118,130],"mechanism":[119],"was":[120],"added":[121],"backbone":[124],"By":[127],"paying":[128],"more":[129],"important":[132,140],"channels,":[134],"can":[137],"better":[138],"capture":[139],"information":[141],"in":[142,205],"images":[143],"thus":[145],"improve":[146],"performance":[148],"target":[150],"detection.":[151],"Finally,":[152],"network":[154,161],"pruned":[157],"analyzing":[159],"dependency":[162],"graph.":[163],"Experimental":[164],"results":[165,221],"show":[166],"that":[167],"size":[170],"reduced":[173,188,196],"method.":[176],"Compared":[177],"YOLOv7":[181],"model,":[182],"parameters":[186],"6.05%":[190],"floating-point":[192],"operations":[193],"(FLOPs)":[194],"1/16":[198],"loss":[201],"only":[203],"0.56%":[204],"average":[206],"accuracy.":[207],"The":[208],"method":[209],"tested":[211],"VOC":[213],"H2O":[215],"data":[216],"sets,":[217],"good":[219],"compression":[220],"obtained.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
