{"id":"https://openalex.org/W7165624653","doi":"https://doi.org/10.48550/arxiv.2606.21309","title":"WildBox: A Dataset and Benchmark for Aerial Monocular 3D Detection of African Savanna Wildlife","display_name":"WildBox: A Dataset and Benchmark for Aerial Monocular 3D Detection of African Savanna Wildlife","publication_year":2026,"publication_date":"2026-06-19","ids":{"openalex":"https://openalex.org/W7165624653","doi":"https://doi.org/10.48550/arxiv.2606.21309"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.21309","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.21309","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2606.21309","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102817708","display_name":"Vandita Shukla","orcid":"https://orcid.org/0009-0007-7242-2279"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shukla, Vandita","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065231229","display_name":"Kilian Meier","orcid":"https://orcid.org/0000-0002-6044-9040"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meier, Kilian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139141691","display_name":"Lucie Laporte-Devylder","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Laporte-Devylder, Lucie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119984628","display_name":"Camille Rondeau Saint-Jean","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saint-Jean, Camille Rondeau","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139156336","display_name":"Jenna M. Kline","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kline, Jenna M.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079322290","display_name":"Blair R. Costelloe","orcid":"https://orcid.org/0000-0001-5291-788X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Costelloe, Blair R.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005192117","display_name":"Devis Tuia","orcid":"https://orcid.org/0000-0003-0374-2459"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tuia, Devis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139188300","display_name":"Fabio Remondino","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Remondino, Fabio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5003115770","display_name":"Benjamin Risse","orcid":"https://orcid.org/0000-0001-5691-4029"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Risse, Benjamin","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/T11133","display_name":"UAV Applications and Optimization","score":0.3871000111103058,"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":0.3871000111103058,"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/T10199","display_name":"Wildlife Ecology and Conservation","score":0.2160000056028366,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.09989999979734421,"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/benchmark","display_name":"Benchmark (surveying)","score":0.7347999811172485},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.6248000264167786},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.5848000049591064},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.454800009727478},{"id":"https://openalex.org/keywords/wildlife","display_name":"Wildlife","score":0.44429999589920044},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4047999978065491},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4018999934196472},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.3488999903202057}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7347999811172485},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6248000264167786},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.5848000049591064},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5523999929428101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5012000203132629},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.454800009727478},{"id":"https://openalex.org/C29376679","wikidata":"https://www.wikidata.org/wiki/Q241741","display_name":"Wildlife","level":2,"score":0.44429999589920044},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4047999978065491},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4018999934196472},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3903999924659729},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3499000072479248},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.3488999903202057},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.3481000065803528},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.3391999900341034},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.3353999853134155},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.30570000410079956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3003999888896942},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.26989999413490295},{"id":"https://openalex.org/C2776191655","wikidata":"https://www.wikidata.org/wiki/Q295469","display_name":"Ecoregion","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C101991246","wikidata":"https://www.wikidata.org/wiki/Q5422078","display_name":"Extinction (optical mineralogy)","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.25270000100135803},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.2524999976158142},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.21309","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.21309","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.21309","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.21309","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6172119379043579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,50],"introduce":[1],"WildBox,":[2],"a":[3,34,38,158],"dataset":[4],"and":[5,58,66,92,120,135,193],"benchmark":[6,30],"for":[7],"monocular":[8,54,141],"3D":[9,18,55,83,108,170,200],"detection":[10,84],"of":[11,129],"wildlife":[12,77,201],"from":[13,203],"drone":[14,204],"video,":[15],"comprising":[16],"237,505":[17],"bounding":[19],"box":[20,64,100],"annotations":[21],"across":[22,47,89],"seven":[23],"African":[24],"savanna":[25],"species":[26],"grouped":[27],"into":[28],"six":[29],"classes.":[31],"Annotations":[32],"follow":[33],"KITTI/Omni3D-compatible":[35],"format":[36],"in":[37,138,149,199],"per-segment":[39],"scale-normalised":[40],"camera":[41],"frame,":[42],"with":[43,172,176,188],"instance":[44],"identities":[45],"maintained":[46],"each":[48],"segment.":[49],"evaluate":[51],"two":[52,182],"open-vocabulary":[53],"architectures,":[56],"OVMono3D-LIFT":[57],"DetAny3D,":[59],"under":[60],"zero-shot,":[61,139],"ground-truth":[62,98],"2D":[63,71,99],"prompt,":[65],"supervised":[67],"fine-tuning":[68,134,163],"protocols.":[69],"Open-vocabulary":[70],"foundation":[72],"models":[73],"provide":[74],"usable":[75],"zero-shot":[76,82],"localisation":[78],"(50.55":[79],"AP@50),":[80],"but":[81],"collapses":[85],"to":[86,106,115,196],"0.00":[87],"AP":[88],"both":[90],"architectures":[91],"every":[93],"2D-input":[94],"condition":[95],"tested,":[96],"including":[97],"prompts,":[101],"thus":[102],"isolating":[103],"the":[104,107,145,165,177,181],"failure":[105],"stage.":[109],"Fine-tuning":[110],"on":[111,157,164,180],"WildBox":[112,185],"recovers":[113],"performance":[114,171],"8.68":[116],"+/-":[117,122],"0.47":[118],"AP-BEV@0.50":[119],"13.17":[121],"0.69":[123],"AP3D":[124],"macro.":[125],"Depth":[126],"contributes":[127],"84%":[128],"normalised":[130],"Hausdorff":[131],"distance":[132],"after":[133],"over":[136],"99%":[137],"identifying":[140],"aerial":[142],"depth":[143],"as":[144],"dominant":[146],"open":[147],"problem":[148],"this":[150],"regime.":[151],"A":[152],"coarse-to-fine":[153],"curriculum,":[154],"i.e.":[155],"pretraining":[156],"merged":[159],"zebra":[160,183],"class":[161],"before":[162],"Grevy's/plains":[166],"split,":[167],"improves":[168],"macro":[169],"less":[173],"total":[174],"compute,":[175],"largest":[178],"gains":[179],"subclasses.":[184],"is":[186],"released":[187],"video-level":[189],"splits,":[190],"evaluation":[191],"code,":[192],"baseline":[194],"checkpoints":[195],"enable":[197],"progress":[198],"perception":[202],"video.":[205]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-24T00:00:00"}
