{"id":"https://openalex.org/W4206087036","doi":"https://doi.org/10.1109/smc52423.2021.9659080","title":"Boosted Dense Segmentation Networks For Constrained Distributed Systems","display_name":"Boosted Dense Segmentation Networks For Constrained Distributed Systems","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W4206087036","doi":"https://doi.org/10.1109/smc52423.2021.9659080"},"language":"en","primary_location":{"id":"doi:10.1109/smc52423.2021.9659080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc52423.2021.9659080","pdf_url":null,"source":{"id":"https://openalex.org/S4363607761","display_name":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5052175201","display_name":"John Brandon Graham-Knight","orcid":"https://orcid.org/0000-0002-3413-4547"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]},{"id":"https://openalex.org/I2800978909","display_name":"Kelowna General Hospital","ror":"https://ror.org/01j25h453","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I104778310","https://openalex.org/I2800978909"]},{"id":"https://openalex.org/I4405260628","display_name":"University of British Columbia, Okanagan Campus","ror":"https://ror.org/04241wz75","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490","https://openalex.org/I4405260628"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"John Brandon Graham-Knight","raw_affiliation_strings":["University of British Columbia, Kelowna, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of British Columbia, Kelowna, Canada","institution_ids":["https://openalex.org/I2800978909","https://openalex.org/I141945490","https://openalex.org/I4405260628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081914837","display_name":"Abtin Djavadifar","orcid":null},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]},{"id":"https://openalex.org/I4405260628","display_name":"University of British Columbia, Okanagan Campus","ror":"https://ror.org/04241wz75","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490","https://openalex.org/I4405260628"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Abtin Djavadifar","raw_affiliation_strings":["School of Engineering, University of British Columbia, Kelowna, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, University of British Columbia, Kelowna, Canada","institution_ids":["https://openalex.org/I141945490","https://openalex.org/I4405260628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058540009","display_name":"Homayoun Najjaran","orcid":"https://orcid.org/0000-0002-3550-225X"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]},{"id":"https://openalex.org/I4405260628","display_name":"University of British Columbia, Okanagan Campus","ror":"https://ror.org/04241wz75","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490","https://openalex.org/I4405260628"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Homayoun Najjaran","raw_affiliation_strings":["School of Engineering, University of British Columbia, Kelowna, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, University of British Columbia, Kelowna, Canada","institution_ids":["https://openalex.org/I141945490","https://openalex.org/I4405260628"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039324961","display_name":"Patricia Lasserre","orcid":"https://orcid.org/0000-0001-7080-2437"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]},{"id":"https://openalex.org/I2800978909","display_name":"Kelowna General Hospital","ror":"https://ror.org/01j25h453","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I104778310","https://openalex.org/I2800978909"]},{"id":"https://openalex.org/I4405260628","display_name":"University of British Columbia, Okanagan Campus","ror":"https://ror.org/04241wz75","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490","https://openalex.org/I4405260628"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Patricia Lasserre","raw_affiliation_strings":["University of British Columbia, Kelowna, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of British Columbia, Kelowna, Canada","institution_ids":["https://openalex.org/I2800978909","https://openalex.org/I141945490","https://openalex.org/I4405260628"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0656,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3747851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"37","issue":null,"first_page":"3101","last_page":"3107"},"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":0.991100013256073,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9688000082969666,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5774537324905396},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5734122395515442},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.570533037185669},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4944436550140381},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4865226149559021},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.44217610359191895},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3842131495475769},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0998486578464508}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5774537324905396},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5734122395515442},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.570533037185669},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4944436550140381},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4865226149559021},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.44217610359191895},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3842131495475769},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0998486578464508},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc52423.2021.9659080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc52423.2021.9659080","pdf_url":null,"source":{"id":"https://openalex.org/S4363607761","display_name":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":34,"referenced_works":["https://openalex.org/W809122546","https://openalex.org/W1817277359","https://openalex.org/W1901129140","https://openalex.org/W2109255472","https://openalex.org/W2145073242","https://openalex.org/W2151802538","https://openalex.org/W2156387975","https://openalex.org/W2304648132","https://openalex.org/W2464708700","https://openalex.org/W2933796343","https://openalex.org/W2955425717","https://openalex.org/W2963351448","https://openalex.org/W2963881378","https://openalex.org/W2963918968","https://openalex.org/W2964309882","https://openalex.org/W2996102538","https://openalex.org/W3007872010","https://openalex.org/W3014974815","https://openalex.org/W3112701542","https://openalex.org/W3172681723","https://openalex.org/W4248437541","https://openalex.org/W4320930577","https://openalex.org/W6622964371","https://openalex.org/W6638480814","https://openalex.org/W6639824700","https://openalex.org/W6681651645","https://openalex.org/W6682365079","https://openalex.org/W6682889407","https://openalex.org/W6697974390","https://openalex.org/W6746023985","https://openalex.org/W6761292208","https://openalex.org/W6762718338","https://openalex.org/W6771976868","https://openalex.org/W6774758941"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W2043093291","https://openalex.org/W2363545964"],"abstract_inverted_index":{"Deployed":[0],"AI":[1],"applications":[2],"are":[3],"often":[4],"heavily":[5],"con-strained":[6],"in":[7,150,176,224,239],"computational":[8],"resources;":[9],"to":[10,29,61,117,169,191,249],"this":[11],"end,":[12],"a":[13,49,53,63,122,228],"method":[14,181,235],"of":[15,45,55,72,79,86,98,108,131,143,206,216,231],"producing":[16],"miniature,":[17],"well-performing":[18],"neural":[19],"networks":[20],"for":[21],"2D":[22],"image":[23],"segmentation":[24],"is":[25,59,114,149,167,218],"devised":[26],"and":[27,35,47,162,195,227],"applied":[28,116,168],"the":[30,43,73,80,91,99,102,109,118,132,137,144,146,152,170,180,188,196,204,207,211,251],"Severstal":[31,103,138],"Steel":[32],"Defect":[33],"Detection":[34],"Kidney":[36],"Tumor":[37],"Segmentation":[38],"(KiTS19)":[39],"Challenges.":[40],"By":[41],"limiting":[42],"width":[44,161],"U-Net":[46],"employing":[48],"full-domain":[50,208],"activation":[51,209],"function,":[52,210],"network":[54,85,135,160],"aggregated":[56,87],"weak":[57,119],"learners":[58,89],"able":[60],"achieve":[62],"mean":[64,92,123],"F":[65,93,124],"<inf":[66,94,125],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[67,95,126,155],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</inf>":[68,96,127],"score":[69,97,128],"within":[70,129],"93%":[71],"EfficientNetB0":[74],"baseline":[75,100],"using":[76,105],"only":[77,106],"0.5%":[78],"trainable":[81,110],"parameters.":[82,111],"A":[83],"similar":[84],"strong":[88,133],"matches":[90],"on":[101,136,187],"dataset":[104,139,172],"10%":[107],"Gradient":[112],"boosting":[113],"then":[115],"learners,":[120],"achieving":[121],"98%":[130],"learner":[134],"with":[140,173],"approximately":[141],"20%":[142],"FLOPS;":[145],"key":[147],"insight":[148],"constraining":[151],"O(n":[153],"<sup":[154],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[156],")":[157],"relationship":[158],"between":[159],"FLOPS.":[163],"The":[164,234],"same":[165],"approach":[166],"KiTS19":[171],"good":[174],"success":[175],"kidney":[177],"detection.":[178],"Interestingly,":[179],"does":[182],"not":[183],"perform":[184],"as":[185,242],"well":[186],"much":[189],"harder":[190],"isolate":[192],"tumor":[193],"class,":[194],"authors":[197,212],"explore":[198],"some":[199],"possible":[200],"reasons.":[201],"In":[202],"analyzing":[203],"impact":[205],"show":[213],"that":[214],"density":[215],"information":[217],"promoted":[219],"by":[220],"significantly":[221],"reduced":[222],"peaks":[223],"layer":[225],"outputs":[226],"wider":[229],"range":[230],"output":[232],"values.":[233],"has":[236],"significant":[237],"implications":[238],"constrained":[240],"deployments,":[241],"many":[243],"small":[244],"devices":[245],"could":[246],"be":[247],"used":[248],"compute":[250],"overall":[252],"network.":[253]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}