{"id":"https://openalex.org/W2894860288","doi":"https://doi.org/10.1145/3243394.3243692","title":"Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by Selective Tile Processing","display_name":"Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by Selective Tile Processing","publication_year":2018,"publication_date":"2018-09-03","ids":{"openalex":"https://openalex.org/W2894860288","doi":"https://doi.org/10.1145/3243394.3243692","mag":"2894860288"},"language":"en","primary_location":{"id":"doi:10.1145/3243394.3243692","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3243394.3243692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Distributed Smart Cameras","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1911.06073","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055271431","display_name":"George Plastiras","orcid":null},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":true,"raw_author_name":"George Plastiras","raw_affiliation_strings":["Department of Electrical and Computer Engineering, KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085843780","display_name":"Christos Kyrkou","orcid":"https://orcid.org/0000-0002-7926-7642"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Christos Kyrkou","raw_affiliation_strings":["KIOS Research and Innovation Center of Excellence, University of Cyprus Nicosia, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KIOS Research and Innovation Center of Excellence, University of Cyprus Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041366767","display_name":"Theocharis Theocharides","orcid":"https://orcid.org/0000-0001-7222-9152"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Theocharis Theocharides","raw_affiliation_strings":["Department of Electrical and Computer Engineering, KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055271431"],"corresponding_institution_ids":["https://openalex.org/I34771391"],"apc_list":null,"apc_paid":null,"fwci":54.7323,"has_fulltext":false,"cited_by_count":75,"citation_normalized_percentile":{"value":0.99685661,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8342494964599609},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7480978965759277},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.7235885858535767},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6968616247177124},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6776217222213745},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6495616436004639},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6487593650817871},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47323736548423767},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.44355639815330505},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.438632071018219},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43218135833740234},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.396357923746109},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2401893436908722}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8342494964599609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7480978965759277},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.7235885858535767},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6968616247177124},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6776217222213745},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6495616436004639},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6487593650817871},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47323736548423767},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.44355639815330505},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.438632071018219},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43218135833740234},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.396357923746109},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2401893436908722},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3243394.3243692","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3243394.3243692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Distributed Smart Cameras","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1911.06073","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.06073","pdf_url":"https://arxiv.org/pdf/1911.06073","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":"pmh:oai:zenodo.org:2566760","is_oa":true,"landing_page_url":"https://zenodo.org/record/2566760","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1911.06073","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.06073","pdf_url":"https://arxiv.org/pdf/1911.06073","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":[],"awards":[{"id":"https://openalex.org/G1509369295","display_name":null,"funder_award_id":"783299","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G152985013","display_name":"KIOS Research and Innovation Centre of Excellence","funder_award_id":"739551","funder_id":"https://openalex.org/F4320337665","funder_display_name":"H2020 Spreading Excellence and Widening Participation"},{"id":"https://openalex.org/G2428888754","display_name":null,"funder_award_id":"739551","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320337665","display_name":"H2020 Spreading Excellence and Widening Participation","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2427443770","https://openalex.org/W2582523608","https://openalex.org/W2612449331","https://openalex.org/W2624848721","https://openalex.org/W2743564616","https://openalex.org/W2757644909","https://openalex.org/W2795321791","https://openalex.org/W4245856257","https://openalex.org/W4249882833"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W2949096641","https://openalex.org/W2969228573","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W2963690996","https://openalex.org/W4254103348"],"abstract_inverted_index":{"Many":[0],"applications":[1],"utilizing":[2],"Unmanned":[3],"Aerial":[4],"Vehicles":[5],"(UAVs)":[6],"require":[7],"the":[8,16,43,54,89,102,107,110,120,146,164,185,203],"use":[9,33],"of":[10,50,109,112,145,155,166],"computer":[11],"vision":[12],"algorithms":[13,40],"to":[14,32,46,72,88,94,137,152,179,192],"analyze":[15],"information":[17,156],"captured":[18],"from":[19,119],"their":[20],"on-board":[21],"camera.":[22],"Recent":[23],"advances":[24],"in":[25,143],"deep":[26],"learning":[27],"have":[28],"made":[29],"it":[30,70],"possible":[31],"single-shot":[34],"Convolutional":[35],"Neural":[36],"Network":[37],"(CNN)":[38],"detection":[39,186],"that":[41,159,173,194],"process":[42,180,197],"input":[44,122],"image":[45,65,123,200],"detect":[47,73],"various":[48],"objects":[49,92,111,141],"interest.":[51],"To":[52],"keep":[53,153],"computational":[55],"demands":[56],"low":[57],"these":[58],"neural":[59,129],"networks":[60],"typically":[61],"operate":[62],"on":[63,139],"small":[64,74],"sizes":[66],"which,":[67],"however,":[68],"makes":[69,202],"difficult":[71],"objects.":[75],"This":[76,98],"is":[77],"further":[78],"emphasized":[79],"when":[80,105],"considering":[81],"UAVs":[82],"equipped":[83],"with":[84],"cameras":[85],"where":[86],"due":[87],"viewing":[90],"range,":[91],"tend":[93],"appear":[95],"relatively":[96],"small.":[97],"paper":[99],"therefore,":[100],"explores":[101],"trade-offs":[103],"involved":[104],"maintaining":[106,189],"resolution":[108],"interest":[113],"by":[114,174],"extracting":[115],"smaller":[116],"patches":[117],"(tiles)":[118],"larger":[121],"and":[124,148,169,196],"processing":[125],"them":[126],"using":[127],"a":[128,149,198],"network.":[130],"Specifically,":[131],"we":[132,171,181],"introduce":[133],"an":[134],"attention":[135],"mechanism":[136,151],"focus":[138],"detecting":[140],"only":[142],"some":[144],"tiles":[147,158,178],"memory":[150],"track":[154],"for":[157,207],"are":[160],"not":[161],"processed.":[162],"Through":[163],"analysis":[165],"different":[167],"methods":[168],"experiments":[170],"show":[172],"carefully":[175],"selecting":[176],"which":[177,201],"can":[182],"considerably":[183],"improve":[184],"accuracy":[187],"while":[188],"comparable":[190],"performance":[191],"CNNs":[193],"resize":[195],"single":[199],"proposed":[204],"approach":[205],"suitable":[206],"UAV":[208],"applications.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":7}],"updated_date":"2026-05-23T08:51:43.019350","created_date":"2025-10-10T00:00:00"}