{"id":"https://openalex.org/W7160270521","doi":"https://doi.org/10.1109/wacv61042.2026.00646","title":"RealDroneVision: Dataset and Architecture Advancements for Small-Object Drone Detection","display_name":"RealDroneVision: Dataset and Architecture Advancements for Small-Object Drone Detection","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7160270521","doi":"https://doi.org/10.1109/wacv61042.2026.00646"},"language":null,"primary_location":{"id":"doi:10.1109/wacv61042.2026.00646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","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/A5054967675","display_name":"Arun Kumar Sivapuram","orcid":"https://orcid.org/0000-0002-2702-856X"},"institutions":[{"id":"https://openalex.org/I4210109292","display_name":"Indian Institute of Technology Tirupati","ror":"https://ror.org/01xtkxh20","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arun Kumar Sivapuram","raw_affiliation_strings":["Indian Institute of Technology,Tirupati,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Tirupati,India","institution_ids":["https://openalex.org/I4210109292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135391131","display_name":"Pranav R T Peddinti","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131147","display_name":"SRM University","ror":"https://ror.org/037skf023","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018","https://openalex.org/I4210131147"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pranav R T Peddinti","raw_affiliation_strings":["SRM University,AP,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SRM University,AP,India","institution_ids":["https://openalex.org/I4210131147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001938849","display_name":"Harish Puppala","orcid":"https://orcid.org/0000-0001-5112-2890"},"institutions":[{"id":"https://openalex.org/I4210131147","display_name":"SRM University","ror":"https://ror.org/037skf023","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018","https://openalex.org/I4210131147"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harish Puppala","raw_affiliation_strings":["SRM University,AP,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SRM University,AP,India","institution_ids":["https://openalex.org/I4210131147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072998548","display_name":"Komuravelli Prashanth","orcid":"https://orcid.org/0000-0001-5131-2774"},"institutions":[{"id":"https://openalex.org/I2801997238","display_name":"Rayat Shikshan Sanstha","ror":"https://ror.org/034ffw198","country_code":"IN","type":"education","lineage":["https://openalex.org/I2801997238"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Komuravelli Prashanth","raw_affiliation_strings":["Deepraksha Lab,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deepraksha Lab,India","institution_ids":["https://openalex.org/I2801997238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114147538","display_name":"Jaladi Sri Harsha","orcid":null},"institutions":[{"id":"https://openalex.org/I2801997238","display_name":"Rayat Shikshan Sanstha","ror":"https://ror.org/034ffw198","country_code":"IN","type":"education","lineage":["https://openalex.org/I2801997238"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jaladi Sri Harsha","raw_affiliation_strings":["Deepraksha Lab,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deepraksha Lab,India","institution_ids":["https://openalex.org/I2801997238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135298640","display_name":"Rama Krishna Sai Gorthi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109292","display_name":"Indian Institute of Technology Tirupati","ror":"https://ror.org/01xtkxh20","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rama Krishna Sai Gorthi","raw_affiliation_strings":["Indian Institute of Technology,Tirupati,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Tirupati,India","institution_ids":["https://openalex.org/I4210109292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.86729257,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6687","last_page":"6695"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.7386000156402588,"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/T11133","display_name":"UAV Applications and Optimization","score":0.7386000156402588,"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":0.09179999679327011,"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/T11489","display_name":"Air Traffic Management and Optimization","score":0.01269999984651804,"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":0.5741999745368958},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4496999979019165},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.29789999127388},{"id":"https://openalex.org/keywords/systems-architecture","display_name":"Systems architecture","score":0.29280000925064087},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.29190000891685486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5975000262260437},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.5741999745368958},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4496999979019165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3919999897480011},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.29280000925064087},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25850000977516174},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2475000023841858},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.24390000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv61042.2026.00646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2905406437","https://openalex.org/W2963677869","https://openalex.org/W2968243907","https://openalex.org/W3038211455","https://openalex.org/W3089809257","https://openalex.org/W3122820767","https://openalex.org/W3127753524","https://openalex.org/W3210343736","https://openalex.org/W3214549945","https://openalex.org/W4210488105","https://openalex.org/W4221059414","https://openalex.org/W4225523617","https://openalex.org/W4281487654","https://openalex.org/W4313639548","https://openalex.org/W4383535210","https://openalex.org/W4385801363","https://openalex.org/W4391407237","https://openalex.org/W4392013638","https://openalex.org/W4392940021","https://openalex.org/W4402716047","https://openalex.org/W4403844164","https://openalex.org/W4405138752","https://openalex.org/W4406463231","https://openalex.org/W4409261778","https://openalex.org/W4409262355"],"related_works":[],"abstract_inverted_index":{"Drones":[0],"are":[1],"increasingly":[2],"used":[3],"in":[4],"civilian":[5],"and":[6,21,45,79,118,134,145],"defense":[7],"domains,":[8],"but":[9],"reliable":[10],"detection":[11,54,125,170],"remains":[12],"challenging":[13],"due":[14],"to":[15,31,74],"their":[16],"small":[17],"size,":[18],"fast":[19],"motion,":[20],"diverse":[22],"environments.":[23],"Existing":[24],"datasets,":[25],"such":[26],"as":[27,162],"synthetic":[28],"benchmarks,":[29],"fail":[30],"capture":[32],"real-world":[33,52,168],"variability.":[34],"We":[35],"introduce":[36],"RealDroneVision,":[37],"a":[38,50,61,72,101,163],"unified":[39],"contribution":[40],"that":[41,137],"advances":[42],"both":[43],"dataset":[44,55],"methodology.":[46],"First,":[47],"we":[48,92],"curate":[49],"large-scale":[51],"drone":[53,169],"comprising":[56],"173,023":[57],"images,":[58],"constructed":[59],"via":[60],"semi-automatic":[62],"pipeline":[63],"inspired":[64],"by":[65],"self-annotated":[66],"labeling":[67],"from":[68],"videos,":[69],"enhanced":[70],"with":[71,87],"human-in-the-loop":[73],"iteratively":[75],"reduce":[76],"false":[77,80],"positives":[78],"negatives.":[81],"This":[82],"approach":[83],"yields":[84],"high-quality":[85],"annotations":[86],"reduced":[88],"manual":[89],"effort.":[90],"Second,":[91],"propose":[93],"the":[94],"Nano":[95],"Object":[96],"Vision":[97],"Attention":[98],"(NOVA)":[99],"module,":[100],"drop-in":[102],"replacement":[103],"for":[104,166],"YOLOv8\u2019s":[105],"C2f":[106],"block.":[107],"By":[108],"combining":[109],"depthwise":[110],"separable":[111],"convolutions,":[112],"scale-aware":[113],"dilated":[114],"branches,":[115],"lightweight":[116,152],"mixing,":[117],"coordinate-aware":[119],"attention,":[120],"our":[121],"design":[122],"improves":[123],"small-object":[124],"while":[126,148],"remaining":[127],"computationally":[128],"efficient.":[129],"Extensive":[130],"benchmarks":[131],"against":[132],"YOLOv8m/l":[133],"YOLOv9c/e":[135],"demonstrate":[136],"YOLOv8-NOVA":[138],"dominates":[139],"across":[140],"precision":[141],"(0.912),":[142],"recall":[143],"(0.870),":[144],"mAP@50":[146],"(0.920)":[147],"being":[149],"significantly":[150],"more":[151],"(2.3M":[153],"params,":[154],"5":[155],"MB":[156],"weights).":[157],"These":[158],"results":[159],"establish":[160],"RealDroneVision":[161],"strong":[164],"foundation":[165],"advancing":[167],"research.":[171]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-06T00:00:00"}
