{"id":"https://openalex.org/W3007868728","doi":"https://doi.org/10.1109/icpr48806.2021.9412452","title":"Progressive Gradient Pruning for Classification, Detection and Domain Adaptation","display_name":"Progressive Gradient Pruning for Classification, Detection and Domain Adaptation","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3007868728","doi":"https://doi.org/10.1109/icpr48806.2021.9412452","mag":"3007868728"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1906.08746","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046794574","display_name":"Le Thanh Nguyen-Meidine","orcid":"https://orcid.org/0000-0002-5850-7213"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Le Thanh Nguyen-Meidine","raw_affiliation_strings":["Laboratoire d'imagerie, de vision et d'intelligence artificielle (LIVIA), Eacute;cole de technologie sup\u00e9rieure, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Laboratoire d'imagerie, de vision et d'intelligence artificielle (LIVIA), Eacute;cole de technologie sup\u00e9rieure, Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006937759","display_name":"\u00c9ric Granger","orcid":"https://orcid.org/0000-0001-6116-7945"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Eric Granger","raw_affiliation_strings":["Laboratoire d'imagerie, de vision et d'intelligence artificielle (LIVIA), Eacute;cole de technologie sup\u00e9rieure, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Laboratoire d'imagerie, de vision et d'intelligence artificielle (LIVIA), Eacute;cole de technologie sup\u00e9rieure, Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112974058","display_name":"Madhu Kiran","orcid":null},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Madhu Kiran","raw_affiliation_strings":["Laboratoire d'imagerie, de vision et d'intelligence artificielle (LIVIA), Eacute;cole de technologie sup\u00e9rieure, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Laboratoire d'imagerie, de vision et d'intelligence artificielle (LIVIA), Eacute;cole de technologie sup\u00e9rieure, Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039660800","display_name":"Marco Pedersoli","orcid":"https://orcid.org/0000-0002-7601-8640"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Marco Pedersoli","raw_affiliation_strings":["Laboratoire d'imagerie, de vision et d'intelligence artificielle (LIVIA), Eacute;cole de technologie sup\u00e9rieure, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Laboratoire d'imagerie, de vision et d'intelligence artificielle (LIVIA), Eacute;cole de technologie sup\u00e9rieure, Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032176624","display_name":"Louis-Antoine Blais-Morin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158879","display_name":"Genetec (Canada)","ror":"https://ror.org/05gk8hj18","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210158879"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Louis-Antoine Blais-Morin","raw_affiliation_strings":["Genetec Inc., Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Genetec Inc., Montreal, Canada","institution_ids":["https://openalex.org/I4210158879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5046794574"],"corresponding_institution_ids":["https://openalex.org/I9736820"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00335483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"abs 1607 3250","issue":null,"first_page":"2795","last_page":"2802"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9990000128746033,"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":0.8602654933929443},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7993217706680298},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6816311478614807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6583621501922607},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6474928855895996},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.45639440417289734},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.450427383184433},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4177645742893219},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40909332036972046},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24844637513160706},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.21377408504486084}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8602654933929443},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7993217706680298},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6816311478614807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6583621501922607},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6474928855895996},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.45639440417289734},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.450427383184433},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4177645742893219},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40909332036972046},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24844637513160706},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.21377408504486084},{"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":5,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1906.08746","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.08746","pdf_url":"https://arxiv.org/pdf/1906.08746","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3007868728","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1906.08746v4","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:espace2.etsmtl.ca:23041","is_oa":false,"landing_page_url":"https://espace2.etsmtl.ca/id/eprint/23041/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Compte rendu de conf\u00e9rence"},{"id":"doi:10.48550/arxiv.1906.08746","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1906.08746","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1906.08746","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.08746","pdf_url":"https://arxiv.org/pdf/1906.08746","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3007868728.pdf","grobid_xml":"https://content.openalex.org/works/W3007868728.grobid-xml"},"referenced_works_count":81,"referenced_works":["https://openalex.org/W1690739335","https://openalex.org/W1821462560","https://openalex.org/W1882958252","https://openalex.org/W1935978687","https://openalex.org/W1996901117","https://openalex.org/W2114766824","https://openalex.org/W2181101938","https://openalex.org/W2260663238","https://openalex.org/W2300242332","https://openalex.org/W2407521645","https://openalex.org/W2463507112","https://openalex.org/W2495425901","https://openalex.org/W2511730936","https://openalex.org/W2513419314","https://openalex.org/W2553910756","https://openalex.org/W2554931888","https://openalex.org/W2557728737","https://openalex.org/W2586654419","https://openalex.org/W2593768305","https://openalex.org/W2605135468","https://openalex.org/W2612445135","https://openalex.org/W2618530766","https://openalex.org/W2701719801","https://openalex.org/W2737121650","https://openalex.org/W2796347433","https://openalex.org/W2798170643","https://openalex.org/W2808168148","https://openalex.org/W2888421240","https://openalex.org/W2898360562","https://openalex.org/W2899771611","https://openalex.org/W2901719623","https://openalex.org/W2903396356","https://openalex.org/W2928560789","https://openalex.org/W2949650786","https://openalex.org/W2949987290","https://openalex.org/W2950967261","https://openalex.org/W2951168573","https://openalex.org/W2951283768","https://openalex.org/W2951583185","https://openalex.org/W2951670162","https://openalex.org/W2952999519","https://openalex.org/W2953106684","https://openalex.org/W2953390309","https://openalex.org/W2962835968","https://openalex.org/W2962851801","https://openalex.org/W2962965870","https://openalex.org/W2963048316","https://openalex.org/W2963094099","https://openalex.org/W2963125010","https://openalex.org/W2963225922","https://openalex.org/W2963363373","https://openalex.org/W2963674932","https://openalex.org/W2963896595","https://openalex.org/W2964133305","https://openalex.org/W2964152344","https://openalex.org/W2964228333","https://openalex.org/W2964233199","https://openalex.org/W2964299589","https://openalex.org/W2965862774","https://openalex.org/W2970500560","https://openalex.org/W3106250896","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6639480849","https://openalex.org/W6640289440","https://openalex.org/W6679667936","https://openalex.org/W6683633756","https://openalex.org/W6685891324","https://openalex.org/W6687483927","https://openalex.org/W6692521979","https://openalex.org/W6698200048","https://openalex.org/W6723181079","https://openalex.org/W6725543821","https://openalex.org/W6726275242","https://openalex.org/W6729763630","https://openalex.org/W6730382033","https://openalex.org/W6734062232","https://openalex.org/W6739717535","https://openalex.org/W6745670897","https://openalex.org/W6750227808","https://openalex.org/W6755034786"],"related_works":["https://openalex.org/W3161404688","https://openalex.org/W2897295818","https://openalex.org/W2785253905","https://openalex.org/W3162086651","https://openalex.org/W3128068819","https://openalex.org/W3081179222","https://openalex.org/W2883111419","https://openalex.org/W3189206705","https://openalex.org/W2998790376","https://openalex.org/W2945345024","https://openalex.org/W2989754506","https://openalex.org/W3195200310","https://openalex.org/W2806406640","https://openalex.org/W3015359939","https://openalex.org/W2799197246","https://openalex.org/W3176213365","https://openalex.org/W3200637211","https://openalex.org/W3008447163","https://openalex.org/W2905975100","https://openalex.org/W3080492436"],"abstract_inverted_index":{"Although":[0],"deep":[1],"neural":[2],"networks":[3,22],"(NNs)":[4],"have":[5,41],"achieved":[6],"state-of-the-art":[7,187],"accuracy":[8,176],"in":[9,125],"many":[10],"visual":[11],"recognition":[12],"tasks,":[13],"the":[14,47,85,123,142],"growing":[15],"computational":[16],"complexity":[17,182],"and":[18,34,49,61,132,136,161,177,180,185],"energy":[19],"consumption":[20],"of":[21,51],"remains":[23],"an":[24],"issue,":[25],"especially":[26],"for":[27,46,100,156],"applications":[28],"on":[29,115,153,194],"platforms":[30],"with":[31],"limited":[32],"resources":[33],"requiring":[35],"real-time":[36],"processing.":[37],"Filter":[38],"pruning":[39,103,111,134,189],"techniques":[40,57],"recently":[42],"shown":[43],"promising":[44],"results":[45,147],"compression":[48],"acceleration":[50],"convolutional":[52],"NNs":[53],"(CNNs).":[54],"However,":[55],"these":[56],"involve":[58],"numerous":[59],"steps":[60],"complex":[62],"optimisations":[63],"because":[64],"some":[65],"only":[66],"prune":[67,73],"after":[68,149],"training":[69,150],"CNNs,":[70],"while":[71],"others":[72],"from":[74],"scratch":[75],"during":[76,104,141],"training,":[77],"by":[78,83],"integrating":[79],"sparsity":[80],"constraints":[81],"or":[82],"modifying":[84],"loss":[86],"function.":[87],"In":[88,106],"this":[89],"paper,":[90],"we":[91],"introduce":[92],"a":[93,116,129,171],"new":[94,130],"Progressive":[95],"Gradient":[96],"Pruning":[97],"(PGP)":[98],"technique":[99,168],"iterative":[101],"filter":[102,118,126,188],"training.":[105],"contrast":[107],"to":[108],"previous":[109],"progressive":[110],"techniques,":[112],"it":[113],"relies":[114],"novel":[117],"selection":[119],"criterion":[120],"that":[121,165],"measures":[122],"change":[124],"weights,":[127],"uses":[128],"hard":[131],"soft":[133],"strategy,":[135],"effectively":[137],"adapts":[138],"momentum":[139],"tensors":[140],"backward":[143],"propagation":[144],"pass.":[145],"Experimental":[146],"obtained":[148],"various":[151],"CNNs":[152],"benchmark":[154],"datasets":[155],"image":[157],"classification,":[158],"object":[159],"detection":[160],"domain":[162],"adaptation":[163],"indicate":[164],"our":[166],"PGP":[167],"can":[169],"achieve":[170],"better":[172],"trade-off":[173],"between":[174],"classification":[175],"network":[178],"(time":[179],"memory)":[181],"than":[183],"PSFP":[184],"other":[186],"techniques.":[190],"Code":[191],"is":[192],"available":[193],"GitHub":[195],"link:":[196],"https://github.com/Anon6627/Pruning-PGP.":[197]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}
