{"id":"https://openalex.org/W3197607112","doi":"https://doi.org/10.1109/tsp52935.2021.9522653","title":"YOLODrone: Improved YOLO Architecture for Object Detection in Drone Images","display_name":"YOLODrone: Improved YOLO Architecture for Object Detection in Drone Images","publication_year":2021,"publication_date":"2021-07-26","ids":{"openalex":"https://openalex.org/W3197607112","doi":"https://doi.org/10.1109/tsp52935.2021.9522653","mag":"3197607112"},"language":"en","primary_location":{"id":"doi:10.1109/tsp52935.2021.9522653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp52935.2021.9522653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","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/A5091111436","display_name":"\u00d6yk\u00fc \u015eahin","orcid":null},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Oyku Sahin","raw_affiliation_strings":["Ozer Lab, Bilkent University"],"affiliations":[{"raw_affiliation_string":"Ozer Lab, Bilkent University","institution_ids":["https://openalex.org/I168864056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033116884","display_name":"Sedat \u00d6zer","orcid":"https://orcid.org/0000-0002-2069-3807"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Sedat Ozer","raw_affiliation_strings":["Ozer Lab, Bilkent University"],"affiliations":[{"raw_affiliation_string":"Ozer Lab, Bilkent University","institution_ids":["https://openalex.org/I168864056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091111436"],"corresponding_institution_ids":["https://openalex.org/I168864056"],"apc_list":null,"apc_paid":null,"fwci":3.9726,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.95099183,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"361","last_page":"365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9890000224113464,"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/T11133","display_name":"UAV Applications and Optimization","score":0.9801999926567078,"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/drone","display_name":"Drone","score":0.9053307175636292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8408558368682861},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.784650981426239},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7807129621505737},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7397322654724121},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5934300422668457},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5782942175865173},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.497651606798172},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.488784521818161},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.4753408432006836},{"id":"https://openalex.org/keywords/viola\u2013jones-object-detection-framework","display_name":"Viola\u2013Jones object detection framework","score":0.4704412817955017},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4497343599796295},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.41949954628944397},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.410236120223999},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35091260075569153},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3248674273490906},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.23530223965644836},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1340937614440918},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.1309851109981537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12523621320724487},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0976492166519165},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06182810664176941}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.9053307175636292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8408558368682861},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.784650981426239},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7807129621505737},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7397322654724121},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5934300422668457},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5782942175865173},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.497651606798172},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.488784521818161},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.4753408432006836},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.4704412817955017},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4497343599796295},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.41949954628944397},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.410236120223999},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35091260075569153},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3248674273490906},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.23530223965644836},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1340937614440918},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.1309851109981537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12523621320724487},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0976492166519165},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06182810664176941},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp52935.2021.9522653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp52935.2021.9522653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.bilkent.edu.tr:11693/77149","is_oa":false,"landing_page_url":"http://hdl.handle.net/11693/77149","pdf_url":null,"source":{"id":"https://openalex.org/S4306400079","display_name":"Bilkent University Institutional Repository (Bilkent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I168864056","host_organization_name":"Bilkent University","host_organization_lineage":["https://openalex.org/I168864056"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Telecommunications and Signal Processing (TSP)","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1836844700","https://openalex.org/W2102605133","https://openalex.org/W2120419212","https://openalex.org/W2296151615","https://openalex.org/W2570343428","https://openalex.org/W2613718673","https://openalex.org/W2755088640","https://openalex.org/W2788930825","https://openalex.org/W2796347433","https://openalex.org/W2892072988","https://openalex.org/W2905553758","https://openalex.org/W2913012218","https://openalex.org/W2937443896","https://openalex.org/W2962749812","https://openalex.org/W2962970995","https://openalex.org/W2963037989","https://openalex.org/W2963456480","https://openalex.org/W2981193399","https://openalex.org/W2989604896","https://openalex.org/W3018757597","https://openalex.org/W3104353633","https://openalex.org/W3106250896","https://openalex.org/W3124372372","https://openalex.org/W3159876672","https://openalex.org/W3163770228","https://openalex.org/W4293584584","https://openalex.org/W4297670610","https://openalex.org/W6620707391","https://openalex.org/W6628973269","https://openalex.org/W6631782140","https://openalex.org/W6744271739","https://openalex.org/W6748130322","https://openalex.org/W6750227808","https://openalex.org/W6759051463","https://openalex.org/W6777046832","https://openalex.org/W6785652829","https://openalex.org/W6787189914"],"related_works":["https://openalex.org/W3204852000","https://openalex.org/W2903682969","https://openalex.org/W2080594779","https://openalex.org/W4231619935","https://openalex.org/W2096901180","https://openalex.org/W3217578509","https://openalex.org/W2364171767","https://openalex.org/W2765813512","https://openalex.org/W4387272257","https://openalex.org/W2131115545"],"abstract_inverted_index":{"Recent":[0],"advances":[1,27],"in":[2,28,39,65,74,99,104,111,136],"robotics":[3],"and":[4,102,107,113,119,146],"computer":[5,40],"vision":[6],"fields":[7],"yield":[8],"emerging":[9],"new":[10],"applications":[11],"for":[12,81,133],"camera":[13],"equipped":[14],"drones.":[15],"One":[16],"such":[17],"application":[18],"is":[19,60],"aerial-based":[20],"object":[21,32,43,57,93],"detection.":[22],"However,":[23],"despite":[24],"the":[25,29,56,71,85,96,109,117,120],"recent":[26],"relevant":[30],"literature,":[31],"detection":[33,44,58,72],"remains":[34],"as":[35],"a":[36,61],"challenging":[37,63],"task":[38,73],"vision.":[41],"Existing":[42],"algorithms":[45],"demonstrate":[46],"even":[47],"lower":[48],"performance":[49],"on":[50,143],"drone":[51,89,105,137],"(or":[52],"aerial)":[53],"images":[54],"since":[55],"problem":[59,64],"more":[62],"aerial":[66,121],"images,":[67,106],"when":[68,150],"compared":[69,151],"to":[70,152],"ground-taken":[75],"images.":[76,122,138],"There":[77],"are":[78],"many":[79],"reasons":[80],"that":[82],"including:":[83],"(i)":[84],"lack":[86],"of":[87],"large":[88,92],"datasets":[90],"with":[91],"variance,":[94],"(ii)":[95],"larger":[97],"variance":[98],"both":[100],"scale":[101],"orientation":[103],"(iii)":[108],"difference":[110],"shape":[112],"texture":[114],"features":[115],"between":[116],"ground":[118],"In":[123],"this":[124],"paper,":[125],"we":[126],"introduce":[127],"an":[128],"improved":[129,148],"YOLO":[130],"algorithm:":[131],"YOLODrone":[132],"detecting":[134],"objects":[135],"We":[139],"evaluate":[140],"our":[141],"algorithm":[142],"VisDrone2019":[144],"dataset":[145],"report":[147],"results":[149],"YOLOv3":[153],"algorithm.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-26T06:05:38.182114","created_date":"2025-10-10T00:00:00"}
