{"id":"https://openalex.org/W7150792144","doi":"https://doi.org/10.48550/arxiv.2604.02966","title":"Visual Prototype Conditioned Focal Region Generation for UAV-Based Object Detection","display_name":"Visual Prototype Conditioned Focal Region Generation for UAV-Based Object Detection","publication_year":2026,"publication_date":"2026-04-03","ids":{"openalex":"https://openalex.org/W7150792144","doi":"https://doi.org/10.48550/arxiv.2604.02966"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.02966","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.02966","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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.02966","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133020674","display_name":"Wenhao Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li, Wenhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055868932","display_name":"Zimeng Wu","orcid":"https://orcid.org/0009-0005-2653-1402"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Zimeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133015540","display_name":"Yu Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Yu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039781970","display_name":"Zehua Fu","orcid":"https://orcid.org/0000-0002-3639-4406"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Zehua","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133021933","display_name":"Jiaxin Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Jiaxin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5133020674"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.5892999768257141,"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":0.5892999768257141,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.09239999949932098,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.027799999341368675,"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/object-detection","display_name":"Object detection","score":0.7512999773025513},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7398999929428101},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6281999945640564},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.6104999780654907},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4602999985218048},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4316999912261963},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.39649999141693115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7774999737739563},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7512999773025513},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7398999929428101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7056999802589417},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6811000108718872},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6281999945640564},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.6104999780654907},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4602999985218048},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4316999912261963},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.39649999141693115},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.32659998536109924},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.3237000107765198},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3167000114917755},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.30489999055862427},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.27970001101493835},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.02966","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.02966","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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.02966","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.02966","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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Unmanned":[0],"aerial":[1],"vehicle":[2],"(UAV)":[3],"based":[4,38],"object":[5,76,103],"detection":[6,32],"is":[7,113,157],"a":[8,68,81,106,124],"critical":[9],"but":[10],"challenging":[11],"task,":[12],"when":[13,149],"applied":[14],"in":[15,30,120],"dynamically":[16],"changing":[17],"scenarios":[18],"with":[19,123,151],"limited":[20],"annotated":[21],"training":[22],"data.":[23],"Layout-to-image":[24],"generation":[25,71],"approaches":[26],"have":[27],"proved":[28],"effective":[29],"promoting":[31],"accuracy":[33,148],"by":[34],"synthesizing":[35],"labeled":[36],"images":[37],"on":[39],"diffusion":[40],"models.":[41],"However,":[42],"they":[43],"suffer":[44],"from":[45],"frequently":[46],"producing":[47],"artifacts,":[48],"especially":[49],"near":[50],"layout":[51],"boundaries":[52],"of":[53],"tiny":[54],"objects,":[55],"thus":[56],"substantially":[57],"limiting":[58],"their":[59],"performance.":[60],"To":[61],"address":[62],"these":[63],"issues,":[64],"we":[65],"propose":[66],"UAVGen,":[67],"novel":[69],"layout-to-image":[70],"framework":[72],"tailored":[73],"for":[74,92,101],"UAV-based":[75],"detection.":[77],"Specifically,":[78],"UAVGen":[79],"designs":[80],"Visual":[82],"Prototype":[83],"Conditioned":[84],"Diffusion":[85],"Model":[86],"(VPC-DM)":[87],"that":[88,138],"constructs":[89],"representative":[90],"instances":[91],"each":[93],"class":[94],"and":[95,131,145],"integrates":[96],"them":[97],"into":[98],"latent":[99],"embeddings":[100],"high-fidelity":[102],"generation.":[104],"Moreover,":[105],"Focal":[107],"Region":[108],"Enhanced":[109],"Data":[110],"Pipeline":[111],"(FRE-DP)":[112],"introduced":[114],"to":[115,127],"emphasize":[116],"object-concentrated":[117],"foreground":[118],"regions":[119],"synthesis,":[121],"combined":[122],"label":[125],"refinement":[126],"correct":[128],"missing,":[129],"extra":[130],"misaligned":[132],"generations.":[133],"Extensive":[134],"experimental":[135],"results":[136],"demonstrate":[137],"our":[139],"method":[140],"significantly":[141],"outperforms":[142],"state-of-the-art":[143],"approaches,":[144],"consistently":[146],"promotes":[147],"integrated":[150],"distinct":[152],"detectors.":[153],"The":[154],"source":[155],"code":[156],"available":[158],"at":[159],"https://github.com/Sirius-Li/UAVGen.":[160]},"counts_by_year":[],"updated_date":"2026-04-07T06:06:30.997549","created_date":"2026-04-07T00:00:00"}
