乐胖代购免代理版

{"id":"https://openalex.org/W2982190091","doi":"https://doi.org/10.1109/iccv.2019.00803","title":"ELF: Embedded Localisation of Features in Pre-Trained CNN","display_name":"ELF: Embedded Localisation of Features in Pre-Trained CNN","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2982190091","doi":"https://doi.org/10.1109/iccv.2019.00803","mag":"2982190091"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2019.00803","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"2021 IEEE/CVF International Conference on Computer Vision (ICCV)","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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/1907.03261","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014832240","display_name":"Assia Benbihi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Assia Benbihi","raw_affiliation_strings":["UMI2958 GeorgiaTech-CNRS Centrale Sup\u00e9lec, Universit\u00e9 Paris-Saclay, Metz, France"],"affiliations":[{"raw_affiliation_string":"UMI2958 GeorgiaTech-CNRS Centrale Sup\u00e9lec, Universit\u00e9 Paris-Saclay, Metz, France","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I277688954","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110482875","display_name":"Matthieu Geist","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113520","display_name":"Brain (Germany)","ror":"https://ror.org/01gamcy45","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210113520"]},{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Matthieu Geist","raw_affiliation_strings":["Google Research Brain Team"],"affiliations":[{"raw_affiliation_string":"Google Research Brain Team","institution_ids":["https://openalex.org/I4210113520","https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045309524","display_name":"C\u00e9dric Pradalier","orcid":"https://orcid.org/0000-0002-1746-2733"},"institutions":[],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Cedric Pradalier","raw_affiliation_strings":["Universite Paris, Metz, France"],"affiliations":[{"raw_affiliation_string":"Universite Paris, Metz, France","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.999829,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"7939","last_page":"7948"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9999,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9999,"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":0.9998,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9992,"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/robustness","display_name":"Robustness","score":0.785241},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6134629},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.47107401},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature Matching","score":0.41759896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7999643},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.785241},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7801004},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6491367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.645281},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6134629},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.56244123},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5011711},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.47107401},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.41759896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11053243},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2019.00803","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"2021 IEEE/CVF International Conference on Computer Vision (ICCV)","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":null,"is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://hal.science/hal-02573067","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":["Centre National de la Recherche Scientifique"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://hal.archives-ouvertes.fr/hal-02573067","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":["Centre National de la Recherche Scientifique"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.03261","pdf_url":"http://arxiv.org/pdf/1907.03261","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.1907.03261","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":"http://arxiv.org/abs/1907.03261","pdf_url":"http://arxiv.org/pdf/1907.03261","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},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.7,"display_name":"Decent work and economic growth"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":49,"referenced_works":["https://openalex.org/W1491719799","https://openalex.org/W1496395994","https://openalex.org/W1532362218","https://openalex.org/W1677409904","https://openalex.org/W1686810756","https://openalex.org/W1849277567","https://openalex.org/W1861492603","https://openalex.org/W1869500417","https://openalex.org/W1915485278","https://openalex.org/W1929856797","https://openalex.org/W1945298332","https://openalex.org/W1955055330","https://openalex.org/W1980911747","https://openalex.org/W2083970667","https://openalex.org/W2108598243","https://openalex.org/W2115362620","https://openalex.org/W2117228865","https://openalex.org/W2123045220","https://openalex.org/W2124404372","https://openalex.org/W2128237624","https://openalex.org/W2151103935","https://openalex.org/W2163605009","https://openalex.org/W2177274842","https://openalex.org/W2250384498","https://openalex.org/W2320444803","https://openalex.org/W2402144811","https://openalex.org/W2435623039","https://openalex.org/W2471962767","https://openalex.org/W2475287302","https://openalex.org/W2531409750","https://openalex.org/W2556970001","https://openalex.org/W2594633041","https://openalex.org/W2607603241","https://openalex.org/W2612112834","https://openalex.org/W2626639386","https://openalex.org/W2804394440","https://openalex.org/W2913429812","https://openalex.org/W2950974964","https://openalex.org/W2953384591","https://openalex.org/W2962851944","https://openalex.org/W2962858109","https://openalex.org/W2963210849","https://openalex.org/W2963382180","https://openalex.org/W2963537932","https://openalex.org/W2963748588","https://openalex.org/W2964157791","https://openalex.org/W3043075211","https://openalex.org/W349087979","https://openalex.org/W4293861706"],"related_works":["https://openalex.org/W4246278799","https://openalex.org/W3188646203","https://openalex.org/W3106568383","https://openalex.org/W2909957174","https://openalex.org/W2375684291","https://openalex.org/W2354676191","https://openalex.org/W2123144113","https://openalex.org/W2105527480","https://openalex.org/W1996690921","https://openalex.org/W136674370"],"abstract_inverted_index":{"This":[0,52,69,125],"paper":[1],"introduces":[2],"a":[3,13,30,50,71,115,156,160],"novel":[4,126],"feature":[5,43,61,164,179],"detector":[6,127],"based":[7],"only":[8],"on":[9,16,77,131,147,159],"information":[10,53,166],"embedded":[11],"inside":[12],"CNN":[14,32,157,174],"trained":[15,31,158,177],"standard":[17,133,161],"tasks":[18],"(e.g.":[19],"classification).":[20],"While":[21],"previous":[22],"works":[23],"already":[24],"show":[25,37,154],"that":[26,155,167],"the":[27,42,46,57,60,66,101,106,120,123,132,173],"features":[28],"of":[29,59,122],"are":[33,104],"suitable":[34],"descriptors,":[35],"we":[36],"here":[38],"how":[39,96,99],"to":[40,48,65,82],"extract":[41],"locations":[44],"from":[45,56],"network":[47],"build":[49],"detector.":[51],"is":[54,112,168,175],"computed":[55],"gradient":[58],"map":[62,73],"with":[63,74,105,114],"respect":[64],"input":[67],"image.":[68],"provides":[70],"saliency":[72],"local":[75],"maxima":[76],"relevant":[78,170],"keypoint":[79],"locations.":[80],"Contrary":[81],"recent":[83],"CNN-based":[84],"detectors,":[85],"this":[86],"method":[87],"requires":[88],"neither":[89],"supervised":[90],"training":[91],"nor":[92],"finetuning.":[93],"We":[94],"evaluate":[95],"repeatable":[97],"and":[98,108,144,149],"matchable":[100],"detected":[102],"keypoints":[103],"repeatability":[107],"matching":[109],"scores.":[110],"Matchability":[111],"measured":[113],"simple":[116],"descriptor":[117],"introduced":[118],"for":[119,178],"sake":[121],"evaluation.":[124],"reaches":[128],"similar":[129],"performances":[130],"evaluation":[134],"HPatches":[135],"dataset,":[136],"as":[137,139,169,171],"well":[138],"comparable":[140],"robustness":[141],"against":[142],"illumination":[143],"viewpoint":[145],"changes":[146],"Webcam":[148],"photo-tourism":[150],"images.":[151],"These":[152],"results":[153],"task":[162],"embeds":[163],"location":[165],"when":[172],"specifically":[176],"detection.":[180]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2982190091","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5}],"updated_date":"2024-12-20T13:17:48.973171","created_date":"2019-11-01"}