{"id":"https://openalex.org/W7160933376","doi":"https://doi.org/10.48550/arxiv.2605.10345","title":"BGG: Bridging the Geometric Gap between Cross-View images by Vision Foundation Model Adaptation for Geo-Localization","display_name":"BGG: Bridging the Geometric Gap between Cross-View images by Vision Foundation Model Adaptation for Geo-Localization","publication_year":2026,"publication_date":"2026-05-11","ids":{"openalex":"https://openalex.org/W7160933376","doi":"https://doi.org/10.48550/arxiv.2605.10345"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.10345","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.10345","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.2605.10345","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135928897","display_name":"Wei Wang","orcid":"https://orcid.org/0009-0007-4555-564X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135948903","display_name":"Dou Quan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quan, Dou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066376249","display_name":"Ning Huyan","orcid":"https://orcid.org/0000-0002-6123-8659"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huyan, Ning","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135989659","display_name":"Shuang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Shuang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135963773","display_name":"Yi Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135972869","display_name":"Pei He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Pei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135934301","display_name":"Licheng Jiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiao, Licheng","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.5667999982833862,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.5667999982833862,"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":0.18729999661445618,"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":0.14339999854564667,"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/bridging","display_name":"Bridging (networking)","score":0.7620000243186951},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5819000005722046},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.5169000029563904},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5069000124931335},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.43810001015663147},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.4138000011444092},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3652999997138977},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32089999318122864}],"concepts":[{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.7620000243186951},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7426999807357788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6194999814033508},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6137999892234802},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5819000005722046},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.5169000029563904},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5069000124931335},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.43810001015663147},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.4138000011444092},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3652999997138977},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32089999318122864},{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.2937000095844269},{"id":"https://openalex.org/C181095308","wikidata":"https://www.wikidata.org/wiki/Q1541599","display_name":"Geometric primitive","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.10345","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.10345","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.2605.10345","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.10345","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Geometric":[0],"differences":[1],"between":[2],"cross-view":[3,80,130],"images,":[4,81],"such":[5],"as":[6],"drone":[7],"and":[8,72,76,105,118,149,161,189,201],"satellite":[9],"views,":[10],"significantly":[11,91],"increase":[12],"the":[13,23,33,45,52,66,74,85,89,93,115,129,139,151,158,173,178],"challenge":[14],"of":[15,25,70,88,121],"Cross-View":[16],"Geo-Localization":[17],"(CVGL),":[18],"which":[19],"aims":[20],"to":[21],"acquire":[22],"geolocation":[24],"images":[26,49],"by":[27,123],"image":[28,147],"retrieval.":[29],"To":[30],"further":[31],"enhance":[32],"CVGL":[34,94],"performance,":[35],"this":[36],"paper":[37],"proposes":[38],"a":[39,99,106],"parameter-efficient":[40],"adaptation":[41],"framework":[42],"for":[43,145,165,181],"bridging":[44,128],"geometric":[46,131],"gap":[47,132],"across":[48],"based":[50],"on":[51,187],"vision":[53],"foundation":[54],"model":[55],"(VFM)":[56],"(e.g.,":[57],"DINOv3),":[58],"termed":[59],"BGG.":[60],"BGG":[61,171,194],"not":[62],"only":[63],"effectively":[64,127],"leverages":[65],"general":[67],"visual":[68],"representations":[69],"VFM":[71],"captures":[73],"robust":[75],"consistent":[77],"features":[78,122,176],"from":[79],"but":[82],"also":[83],"utilizes":[84],"generalization":[86],"capabilities":[87],"VFM,":[90],"improving":[92],"performance.":[95],"It":[96],"mainly":[97],"contains":[98],"Multi-granularity":[100],"Feature":[101],"Enhancement":[102],"Adapter":[103],"(MFEA)":[104],"Frequency-Aware":[107],"Structural":[108],"Aggregation":[109],"(FASA)":[110],"module.":[111],"Specifically,":[112],"MFEA":[113],"enhances":[114],"scale":[116],"adaptability":[117],"viewpoint":[119],"robustness":[120],"multi-level":[124],"dilated":[125],"convolutions,":[126],"with":[133,177,206],"small":[134],"training":[135,208],"costs.":[136,209],"Additionally,":[137],"considering":[138],"[CLS]":[140,179],"token":[141,180],"lacks":[142],"spatial":[143],"details":[144],"precise":[146],"retrieval":[148],"localization,":[150],"FASA":[152],"module":[153],"modulates":[154],"patch":[155],"tokens":[156],"in":[157],"frequency":[159],"domain":[160],"performs":[162],"adaptive":[163],"aggregation":[164],"local":[166,175],"structural":[167],"feature":[168],"enhancement.":[169],"Finally,":[170],"fuses":[172],"enhanced":[174],"more":[182],"accurate":[183],"CVGL.":[184],"Extensive":[185],"experiments":[186],"University-1652":[188],"SUES-200":[190],"datasets":[191],"demonstrate":[192],"that":[193],"has":[195],"significant":[196],"advantages":[197],"over":[198],"other":[199],"methods":[200],"achieves":[202],"state-of-the-art":[203],"localization":[204],"performance":[205],"low":[207]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-13T00:00:00"}
