乐胖代购免代理版

{"id":"https://openalex.org/W4318239878","doi":"https://doi.org/10.48550/arxiv.2301.10540","title":"Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN","display_name":"Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4318239878","doi":"https://doi.org/10.48550/arxiv.2301.10540"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2301.10540","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":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2301.10540","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009973807","display_name":"David M. Knigge","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Knigge, David M.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084474296","display_name":"David W. Romero","orcid":"https://orcid.org/0000-0001-5446-1070"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Romero, David W.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025386668","display_name":"Albert Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gu, Albert","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002625178","display_name":"Efstratios Gavves","orcid":"https://orcid.org/0000-0001-8947-1332"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gavves, Efstratios","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000647841","display_name":"Erik J. Bekkers","orcid":"https://orcid.org/0000-0003-4418-2160"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bekkers, Erik J.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004385039","display_name":"Jakub M. Tomczak","orcid":"https://orcid.org/0000-0001-8634-694X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tomczak, Jakub M.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044217809","display_name":"Mark Hoogendoorn","orcid":"https://orcid.org/0000-0003-3356-3574"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hoogendoorn, Mark","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5087851185","display_name":"Jan\u2010Jakob Sonke","orcid":"https://orcid.org/0000-0001-5155-5274"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sonke, Jan-Jakob","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.762268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":84,"max":87},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9986,"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":0.9986,"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":0.9941,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9931,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.80449927},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.6298355}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.81164366},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.80449927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7608048},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6470016},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.6298355},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5306346},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.50482494},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48291016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45899087},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3778888},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36694083},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17984444},{"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2301.10540","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":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2301.10540","pdf_url":"http://arxiv.org/pdf/2301.10540","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2301.10540","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2301.10540","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":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4381094582","https://openalex.org/W2369625323","https://openalex.org/W2364579609","https://openalex.org/W2353528968","https://openalex.org/W2201908702","https://openalex.org/W2045049461","https://openalex.org/W2032776242","https://openalex.org/W1978893398","https://openalex.org/W1977906818","https://openalex.org/W1522139108"],"abstract_inverted_index":{"Performant":[0],"Convolutional":[1,40],"Neural":[2,41],"Network":[3,42],"(CNN)":[4],"architectures":[5,84],"must":[6],"be":[7],"tailored":[8],"to":[9,14,48],"specific":[10],"tasks":[11,103,127],"in":[12],"order":[13],"consider":[15],"the":[16,22,30,38,79,92,99,122],"length,":[17],"resolution,":[18,53],"and":[19,55,76,88,111,119],"dimensionality":[20,54],"of":[21,51,81,94],"input":[23],"data.":[24,115],"In":[25],"this":[26],"work,":[27],"we":[28],"tackle":[29],"need":[31,80],"for":[32,85,102],"problem-specific":[33],"CNN":[34,46,83],"architectures.":[35],"We":[36,90],"present":[37],"Continuous":[39],"(CCNN):":[43],"a":[44],"single":[45],"able":[47],"process":[49],"data":[50],"arbitrary":[52],"length":[56],"without":[57],"any":[58],"structural":[59],"changes.":[60],"Its":[61],"key":[62],"component":[63],"are":[64],"its":[65],"continuous":[66],"convolutional":[67],"kernels":[68],"which":[69],"model":[70],"long-range":[71],"dependencies":[72],"at":[73],"every":[74],"layer,":[75],"thus":[77],"remove":[78],"current":[82,123],"task-dependent":[86],"downsampling":[87],"depths.":[89],"showcase":[91],"generality":[93],"our":[95],"method":[96],"by":[97],"using":[98],"same":[100],"architecture":[101],"on":[104],"sequential":[105],"($1{\\rm":[106],"D}$),":[107],"visual":[108],"($2{\\rm":[109],"D}$)":[110,114],"point-cloud":[112],"($3{\\rm":[113],"Our":[116],"CCNN":[117],"matches":[118],"often":[120],"outperforms":[121],"state-of-the-art":[124],"across":[125],"all":[126],"considered.":[128]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4318239878","counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2025-01-07T02:49:08.070667","created_date":"2023-01-27"}