{"id":"https://openalex.org/W7138442679","doi":"https://doi.org/10.48550/arxiv.2603.14856","title":"From Horizontal to Rotated: Cross-View Object Geo-Localization with Orientation Awareness","display_name":"From Horizontal to Rotated: Cross-View Object Geo-Localization with Orientation Awareness","publication_year":2026,"publication_date":"2026-03-16","ids":{"openalex":"https://openalex.org/W7138442679","doi":"https://doi.org/10.48550/arxiv.2603.14856"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.14856","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14856","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.14856","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073869877","display_name":"Chenlin Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Chenlin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129670865","display_name":"Ao Gong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gong, Ao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129688799","display_name":"Yingying Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Yingying","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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":0.31520000100135803,"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":0.31520000100135803,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.2353000044822693,"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":0.14139999449253082,"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/bounding-overwatch","display_name":"Bounding overwatch","score":0.7235000133514404},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.625},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6108999848365784},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5734999775886536},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5318999886512756},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5120999813079834},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48750001192092896},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4657999873161316},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4643999934196472}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7314000129699707},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.7235000133514404},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6937999725341797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6771000027656555},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.625},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6108999848365784},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5734999775886536},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5318999886512756},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5120999813079834},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48750001192092896},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4657999873161316},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4643999934196472},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.4505999982357025},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31619998812675476},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.290800005197525},{"id":"https://openalex.org/C59218005","wikidata":"https://www.wikidata.org/wiki/Q17027571","display_name":"Horizontal and vertical","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C56435381","wikidata":"https://www.wikidata.org/wiki/Q1196371","display_name":"Geometric transformation","level":3,"score":0.2685999870300293},{"id":"https://openalex.org/C123046963","wikidata":"https://www.wikidata.org/wiki/Q22664","display_name":"Geographic coordinate system","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.257099986076355}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.14856","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14856","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.14856","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14856","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Cross-View":[0],"object":[1,14],"geo-localization":[2,115],"(CVOGL)":[3],"aims":[4],"to":[5,75,104,128],"precisely":[6],"determine":[7],"the":[8,57,70,94,142,165],"geographic":[9],"coordinates":[10],"of":[11,61,93,167,181],"a":[12,16,23,90,99,113,120],"query":[13],"from":[15,43],"ground":[17],"or":[18,162],"drone":[19],"perspective":[20],"by":[21,54,80],"referencing":[22],"satellite":[24],"map.":[25],"Segmentation-based":[26],"approaches":[27],"offer":[28],"high":[29],"precision":[30,73],"but":[31,171],"require":[32],"prohibitively":[33],"expensive":[34],"pixel-level":[35],"annotations,":[36],"whereas":[37],"more":[38],"economical":[39],"detection-based":[40,95],"methods":[41,170],"suffer":[42],"lower":[44],"accuracy.":[45],"This":[46],"performance":[47],"disparity":[48],"in":[49,72],"detection":[50],"is":[51,177],"primarily":[52],"caused":[53],"two":[55],"factors:":[56],"poor":[58],"geometric":[59,102],"fit":[60,103],"Horizontal":[62],"Bounding":[63,86],"Boxes":[64,87],"(HBoxes)":[65],"for":[66,149],"oriented":[67,105],"objects":[68],"and":[69,124,139],"degradation":[71],"due":[74],"feature":[76],"map":[77],"scaling.":[78],"Motivated":[79],"these,":[81],"we":[82,110,136],"propose":[83],"leveraging":[84],"Rotated":[85],"(RBoxes)":[88],"as":[89],"natural":[91],"extension":[92],"paradigm.":[96],"RBoxes":[97],"provide":[98],"much":[100],"tighter":[101],"objects.":[106],"Building":[107],"on":[108],"this,":[109],"introduce":[111],"OSGeo,":[112],"novel":[114],"framework,":[116],"meticulously":[117],"designed":[118],"with":[119,145,172],"multi-scale":[121],"perception":[122],"module":[123],"an":[125,173,179],"orientation-sensitive":[126],"head":[127],"accurately":[129],"regress":[130],"RBoxes.":[131],"To":[132],"support":[133],"this":[134],"scheme,":[135],"also":[137],"construct":[138],"release":[140],"CVOGL-R,":[141],"first":[143],"dataset":[144],"precise":[146],"RBox":[147],"annotations":[148],"CVOGL.":[150],"Extensive":[151],"experiments":[152],"demonstrate":[153],"that":[154,176],"our":[155],"OSGeo":[156],"achieves":[157],"state-of-the-art":[158],"performance,":[159],"consistently":[160],"matching":[161],"even":[163],"surpassing":[164],"accuracy":[166],"leading":[168],"segmentation-based":[169],"annotation":[174],"cost":[175],"over":[178],"order":[180],"magnitude":[182],"lower.":[183]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-18T00:00:00"}
