{"id":"https://openalex.org/W3209499715","doi":"https://doi.org/10.1109/tip.2022.3227503","title":"AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling","display_name":"AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling","publication_year":2022,"publication_date":"2022-12-12","ids":{"openalex":"https://openalex.org/W3209499715","doi":"https://doi.org/10.1109/tip.2022.3227503","mag":"3209499715","pmid":"https://pubmed.ncbi.nlm.nih.gov/37015362"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2022.3227503","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tip.2022.3227503","pdf_url":"https://ieeexplore.ieee.org/ielx7/83/9991910/09982650.pdf","source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/83/9991910/09982650.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046369742","display_name":"Alexandros Stergiou","orcid":"https://orcid.org/0000-0003-4706-4231"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]},{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB","NL"],"is_corresponding":false,"raw_author_name":"Alexandros Stergiou","raw_affiliation_strings":["Utrecht University, Utrecht, The Netherlands","Department of Computer Science, University of Bristol, Bristol, U.K"],"raw_orcid":"https://orcid.org/0000-0003-4706-4231","affiliations":[{"raw_affiliation_string":"Utrecht University, Utrecht, The Netherlands","institution_ids":["https://openalex.org/I193662353"]},{"raw_affiliation_string":"Department of Computer Science, University of Bristol, Bristol, U.K","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087762753","display_name":"Ronald Poppe","orcid":"https://orcid.org/0000-0002-0843-7878"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ronald Poppe","raw_affiliation_strings":["Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-0843-7878","affiliations":[{"raw_affiliation_string":"Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands","institution_ids":["https://openalex.org/I193662353"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.0904,"has_fulltext":true,"cited_by_count":108,"citation_normalized_percentile":{"value":0.98716388,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"32","issue":null,"first_page":"251","last_page":"266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9966999888420105,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9965000152587891,"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/pooling","display_name":"Pooling","score":0.8703839778900146},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.8040595054626465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8006839156150818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6293715834617615},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5864759087562561},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5482738614082336},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.510312020778656},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4699034094810486},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4618609845638275},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4400297999382019},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.43903157114982605},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43076273798942566},{"id":"https://openalex.org/keywords/quadtree","display_name":"Quadtree","score":0.4137054681777954},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2785140872001648},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24901309609413147},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1322309374809265}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8703839778900146},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.8040595054626465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8006839156150818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6293715834617615},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5864759087562561},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5482738614082336},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.510312020778656},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4699034094810486},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4618609845638275},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4400297999382019},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.43903157114982605},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43076273798942566},{"id":"https://openalex.org/C151416825","wikidata":"https://www.wikidata.org/wiki/Q934791","display_name":"Quadtree","level":2,"score":0.4137054681777954},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2785140872001648},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24901309609413147},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1322309374809265},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tip.2022.3227503","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tip.2022.3227503","pdf_url":"https://ieeexplore.ieee.org/ielx7/83/9991910/09982650.pdf","source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:37015362","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37015362","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:165450","is_oa":true,"landing_page_url":"https://biblio.vub.ac.be/vubir/(70223389-c6d8-43bc-9bbd-c18b6f6e6645).html","pdf_url":"https://biblio.vub.ac.be/vubirfiles/105741523/93262466.pdf","source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"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":"article"},{"id":"pmh:oai:research-information.bris.ac.uk:publications/99d0cb16-dbbf-46cf-89c9-c5b731379ac7","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2111.00772","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:uu:oai:dspace.library.uu.nl:1874/426882","is_oa":true,"landing_page_url":"https://dspace.library.uu.nl/handle/1874/426882","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Image Processing, 32, 251. IEEE","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/tip.2022.3227503","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tip.2022.3227503","pdf_url":"https://ieeexplore.ieee.org/ielx7/83/9991910/09982650.pdf","source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Image Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"},{"id":"https://openalex.org/F4320334893","display_name":"Stichting voor de Technische Wetenschappen","ror":"https://ror.org/057tq3593"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3209499715.pdf","grobid_xml":"https://content.openalex.org/works/W3209499715.grobid-xml"},"referenced_works_count":113,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W54257720","https://openalex.org/W195533127","https://openalex.org/W1607519983","https://openalex.org/W1624854622","https://openalex.org/W1625255723","https://openalex.org/W1840106123","https://openalex.org/W1861492603","https://openalex.org/W1930824406","https://openalex.org/W1987869189","https://openalex.org/W2010981316","https://openalex.org/W2027922120","https://openalex.org/W2040513229","https://openalex.org/W2046033161","https://openalex.org/W2056884786","https://openalex.org/W2074797641","https://openalex.org/W2097018403","https://openalex.org/W2097117768","https://openalex.org/W2109586214","https://openalex.org/W2117539524","https://openalex.org/W2117951582","https://openalex.org/W2121808626","https://openalex.org/W2121927366","https://openalex.org/W2127707215","https://openalex.org/W2133665775","https://openalex.org/W2147169375","https://openalex.org/W2147253850","https://openalex.org/W2149194912","https://openalex.org/W2161336914","https://openalex.org/W2162915993","https://openalex.org/W2162931300","https://openalex.org/W2183341477","https://openalex.org/W2187089797","https://openalex.org/W2192954843","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2549139847","https://openalex.org/W2559156603","https://openalex.org/W2559597482","https://openalex.org/W2563705555","https://openalex.org/W2565639579","https://openalex.org/W2592939477","https://openalex.org/W2611775752","https://openalex.org/W2616247523","https://openalex.org/W2741137940","https://openalex.org/W2752782242","https://openalex.org/W2769654144","https://openalex.org/W2866634454","https://openalex.org/W2884585870","https://openalex.org/W2904829482","https://openalex.org/W2949258649","https://openalex.org/W2954930822","https://openalex.org/W2961193895","https://openalex.org/W2962785568","https://openalex.org/W2963150697","https://openalex.org/W2963155035","https://openalex.org/W2963268050","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W2963470893","https://openalex.org/W2963524571","https://openalex.org/W2963574257","https://openalex.org/W2963814095","https://openalex.org/W2963881378","https://openalex.org/W2963919294","https://openalex.org/W2964012402","https://openalex.org/W2964137095","https://openalex.org/W2969812797","https://openalex.org/W2984287396","https://openalex.org/W2986833982","https://openalex.org/W2987852271","https://openalex.org/W2990503944","https://openalex.org/W2994508843","https://openalex.org/W2997150500","https://openalex.org/W3000120212","https://openalex.org/W3013529009","https://openalex.org/W3015793166","https://openalex.org/W3031546776","https://openalex.org/W3034921716","https://openalex.org/W3035104321","https://openalex.org/W3036559109","https://openalex.org/W3096739052","https://openalex.org/W3101659800","https://openalex.org/W3102015846","https://openalex.org/W3102564565","https://openalex.org/W3107184287","https://openalex.org/W3110612869","https://openalex.org/W3133316322","https://openalex.org/W3148625633","https://openalex.org/W3168286621","https://openalex.org/W3175928291","https://openalex.org/W3179253672","https://openalex.org/W3199667134","https://openalex.org/W3202075396","https://openalex.org/W3202783400","https://openalex.org/W4214604401","https://openalex.org/W4214626557","https://openalex.org/W4229940379","https://openalex.org/W4246193833","https://openalex.org/W4246727630","https://openalex.org/W4249736682","https://openalex.org/W4312769131","https://openalex.org/W6600983433","https://openalex.org/W6607976765","https://openalex.org/W6636262234","https://openalex.org/W6636494156","https://openalex.org/W6639736908","https://openalex.org/W6683965311","https://openalex.org/W6688902765","https://openalex.org/W6764873646","https://openalex.org/W6765307894","https://openalex.org/W6776290648","https://openalex.org/W6790971106"],"related_works":["https://openalex.org/W2559156603","https://openalex.org/W4300832495","https://openalex.org/W2987852271","https://openalex.org/W4287394948","https://openalex.org/W3149642877","https://openalex.org/W2967990525","https://openalex.org/W2949066288","https://openalex.org/W3119356360","https://openalex.org/W2022849497","https://openalex.org/W3215923428"],"abstract_inverted_index":{"Pooling":[0],"layers":[1],"are":[2,78],"essential":[3],"building":[4],"blocks":[5],"of":[6,20,71,74,83,96,101,114],"convolutional":[7,22],"neural":[8],"networks":[9],"(CNNs),":[10],"to":[11,27,122,133],"reduce":[12],"computational":[13,183],"overhead":[14],"and":[15,42,59,87,105,108,147,150,176,184],"increase":[16],"the":[17,34,81,84,88,94,126],"receptive":[18],"fields":[19],"proceeding":[21],"operations.":[23],"Their":[24],"goal":[25],"is":[26,116],"produce":[28],"downsampled":[29],"volumes":[30],"that":[31,77,168],"closely":[32],"resemble":[33],"input":[35],"volume":[36],"while,":[37],"ideally,":[38],"also":[39,130],"being":[40],"computationally":[41],"memory":[43,185],"efficient.":[44],"Meeting":[45],"both":[46],"these":[47],"requirements":[48],"remains":[49],"a":[50,68,99,158,180],"challenge.":[51],"To":[52],"this":[53,139],"end,":[54],"we":[55,155],"propose":[56],"an":[57],"adaptive":[58],"exponentially":[60],"weighted":[61],"pooling":[62,75,124],"method:":[63],"adaPool.":[64],"Our":[65,165],"method":[66,140],"learns":[67],"regional-specific":[69],"fusion":[70],"two":[72],"sets":[73],"kernels":[76],"based":[79],"on":[80,98,145],"exponent":[82],"Dice-S\u00f8rensen":[85],"coefficient":[86],"exponential":[89],"maximum,":[90],"respectively.":[91],"AdaPool":[92],"improves":[93],"preservation":[95],"detail":[97],"range":[100],"tasks":[102,175],"including":[103],"image":[104,146],"video":[106,148,163],"classification":[107],"object":[109],"detection.":[110],"A":[111],"key":[112],"property":[113],"adaPool":[115,169],"its":[117],"bidirectional":[118],"nature.":[119],"In":[120],"contrast":[121],"common":[123],"methods,":[125],"learned":[127],"weights":[128],"can":[129],"be":[131],"used":[132],"upsample":[134],"activation":[135],"maps.":[136],"We":[137,142],"term":[138],"adaUnPool.":[141],"evaluate":[143],"adaUnPool":[144],"super-resolution":[149],"frame":[151],"interpolation.":[152],"For":[153],"benchmarking,":[154],"introduce":[156],"Inter4K,":[157],"novel":[159],"high-quality,":[160],"high":[161],"frame-rate":[162],"dataset.":[164],"experiments":[166],"demonstrate":[167],"systematically":[170],"achieves":[171],"better":[172],"results":[173],"across":[174],"backbones,":[177],"while":[178],"introducing":[179],"minor":[181],"additional":[182],"overhead.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":44},{"year":2024,"cited_by_count":34},{"year":2023,"cited_by_count":15}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}