{"id":"https://openalex.org/W4386168935","doi":"https://doi.org/10.3233/aic-230046","title":"Dynamic finegrained structured pruning sensitive to filter texture distribution","display_name":"Dynamic finegrained structured pruning sensitive to filter texture distribution","publication_year":2023,"publication_date":"2023-08-25","ids":{"openalex":"https://openalex.org/W4386168935","doi":"https://doi.org/10.3233/aic-230046"},"language":"en","primary_location":{"id":"doi:10.3233/aic-230046","is_oa":false,"landing_page_url":"https://doi.org/10.3233/aic-230046","pdf_url":null,"source":{"id":"https://openalex.org/S176303223","display_name":"AI Communications","issn_l":"0921-7126","issn":["0921-7126","1875-8452"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AI Communications","raw_type":"journal-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/A5040090528","display_name":"Ping Li","orcid":"https://orcid.org/0000-0003-1622-3607"},"institutions":[{"id":"https://openalex.org/I4210135052","display_name":"Hunan Entry-Exit Inspection and Quarantine Bureau","ror":"https://ror.org/03ty5px05","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210135052"]},{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Li","raw_affiliation_strings":["Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation, Hunan, China","School of Computer and Communication Engineering, Changsha University of Science and Technology, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation, Hunan, China","institution_ids":["https://openalex.org/I4210135052"]},{"raw_affiliation_string":"School of Computer and Communication Engineering, Changsha University of Science and Technology, Hunan, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100780553","display_name":"Yuzhe Wang","orcid":"https://orcid.org/0009-0006-3398-8512"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuzhe Wang","raw_affiliation_strings":["School of Computer and Communication Engineering, Changsha University of Science and Technology, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, Changsha University of Science and Technology, Hunan, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101886946","display_name":"Cong Wu","orcid":"https://orcid.org/0000-0003-1360-1617"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Wu","raw_affiliation_strings":["School of Computer and Communication Engineering, Changsha University of Science and Technology, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, Changsha University of Science and Technology, Hunan, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028854598","display_name":"Xiatao Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiatao Kang","raw_affiliation_strings":["School of Computer and Communication Engineering, Changsha University of Science and Technology, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, Changsha University of Science and Technology, Hunan, China","institution_ids":["https://openalex.org/I56934997"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100780553"],"corresponding_institution_ids":["https://openalex.org/I56934997"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09288684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"4","first_page":"311","last_page":"323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9980000257492065,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.993399977684021,"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/pruning","display_name":"Pruning","score":0.8634536266326904},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8165934085845947},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6229985952377319},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5680521726608276},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5384009480476379},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5319716334342957},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4245799779891968},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41489583253860474},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3436185121536255},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1366502344608307},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13540425896644592}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8634536266326904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8165934085845947},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6229985952377319},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5680521726608276},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5384009480476379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5319716334342957},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4245799779891968},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41489583253860474},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3436185121536255},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1366502344608307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13540425896644592},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/aic-230046","is_oa":false,"landing_page_url":"https://doi.org/10.3233/aic-230046","pdf_url":null,"source":{"id":"https://openalex.org/S176303223","display_name":"AI Communications","issn_l":"0921-7126","issn":["0921-7126","1875-8452"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AI Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.4099999964237213,"display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W566555209","https://openalex.org/W2138019504","https://openalex.org/W2143612262","https://openalex.org/W2183341477","https://openalex.org/W2285660444","https://openalex.org/W2618530766","https://openalex.org/W2736953746","https://openalex.org/W2886851211","https://openalex.org/W2924515500","https://openalex.org/W2928560789","https://openalex.org/W2962851801","https://openalex.org/W2963145730","https://openalex.org/W2963382930","https://openalex.org/W2964233199","https://openalex.org/W2978081181","https://openalex.org/W2981609437","https://openalex.org/W2997768846","https://openalex.org/W3034513523","https://openalex.org/W3035467254","https://openalex.org/W6783948878"],"related_works":["https://openalex.org/W2373300491","https://openalex.org/W1212596013","https://openalex.org/W2378744544","https://openalex.org/W2594301978","https://openalex.org/W2379704676","https://openalex.org/W4206442282","https://openalex.org/W2384505857","https://openalex.org/W2355171581","https://openalex.org/W4229439743","https://openalex.org/W2185258871"],"abstract_inverted_index":{"Pruning":[0],"of":[1,15,22,30,38,49,59,103,111,113,117,184,192],"neural":[2],"networks":[3],"is":[4,53,68,186,247],"undoubtedly":[5],"a":[6,27,36,44,95,126,143,151,168,175,178,200],"popular":[7],"approach":[8],"to":[9,41,69,75,78,83,87,141,158,196,210,215,238],"cope":[10],"with":[11,167,233,241],"the":[12,23,50,63,84,101,104,109,114,133,160,182,190,197,203,227],"current":[13],"compression":[14,71],"large-scale,":[16],"high-cost":[17],"network":[18,85,198],"models.":[19],"However,":[20],"most":[21],"existing":[24],"methods":[25,72,208],"require":[26],"high":[28],"level":[29],"human-regulated":[31],"pruning":[32,46,244],"criteria,":[33],"which":[34,223],"requires":[35],"lot":[37],"human":[39],"effort":[40],"figure":[42],"out":[43],"reasonable":[45],"strength.":[47],"One":[48],"main":[51,66],"reasons":[52],"that":[54,73,99,130,172],"there":[55],"are":[56],"different":[57],"levels":[58],"sensitivity":[60,110,135],"distribution":[61,77,98,140,212],"in":[62,156,181,236],"network.":[64,105,162],"Our":[65],"goal":[67],"discover":[70],"adapt":[74],"this":[76,91,118,138],"avoid":[79],"deep":[80],"architectural":[81],"damage":[82],"due":[86],"unnecessary":[88],"pruning.":[89],"In":[90,202],"paper,":[92],"we":[93,123,148],"propose":[94],"filter":[96,166,173],"texture":[97,139,211],"affects":[100],"training":[102],"We":[106],"also":[107],"analyze":[108,132],"each":[112,165],"diverse":[115],"states":[116],"distribution.":[119],"To":[120],"do":[121],"so,":[122],"first":[124],"use":[125],"multidimensional":[127],"penalty":[128],"method":[129],"can":[131],"potential":[134],"based":[136],"on":[137,226],"obtain":[142],"pruning-friendly":[144],"sparse":[145,161],"environment.":[146],"Then,":[147],"set":[149],"up":[150],"lightweight":[152],"dynamic":[153],"threshold":[154,170],"container":[155],"order":[157,237],"prune":[159],"By":[163],"providing":[164],"suitable":[169],"for":[171],"at":[174,249],"low":[176],"cost,":[177],"massive":[179],"reduction":[180],"number":[183],"parameters":[185],"achieved":[187],"without":[188],"affecting":[189],"contribution":[191],"certain":[193],"pruning-sensitive":[194],"layers":[195],"as":[199],"whole.":[201],"final":[204],"experiments,":[205],"our":[206],"two":[207],"adapted":[209],"were":[213,224],"applied":[214],"ResNet":[216],"Deep":[217],"Neural":[218],"Network":[219],"(DNN)":[220],"and":[221,230],"VGG-16,":[222],"deployed":[225],"classical":[228],"CIFAR-10/100":[229],"ImageNet":[231],"datasets":[232],"excellent":[234],"results":[235],"facilitate":[239],"comparison":[240],"good":[242],"cutting-edge":[243],"methods.":[245],"Code":[246],"available":[248],"https://github.com/wangyuzhe27/CDP-and-DTC.":[250]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}