{"id":"https://openalex.org/W4398234587","doi":"https://doi.org/10.1145/3652628.3652743","title":"MCL-Geo: Multi-branch Contrastive Learning for Cross-view Geo-localizationA multi-branch contrastive learning framework plus uniform cross-view contrastive loss for cross-view geo-localization targets.","display_name":"MCL-Geo: Multi-branch Contrastive Learning for Cross-view Geo-localizationA multi-branch contrastive learning framework plus uniform cross-view contrastive loss for cross-view geo-localization targets.","publication_year":2023,"publication_date":"2023-11-17","ids":{"openalex":"https://openalex.org/W4398234587","doi":"https://doi.org/10.1145/3652628.3652743"},"language":"en","primary_location":{"id":"doi:10.1145/3652628.3652743","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3652628.3652743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering","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/A5101753482","display_name":"Mingkun Li","orcid":"https://orcid.org/0000-0003-3332-7168"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mingkun Li","raw_affiliation_strings":["China Academy of Aerospace Science and Innovation, China"],"raw_orcid":"https://orcid.org/0000-0003-3332-7168","affiliations":[{"raw_affiliation_string":"China Academy of Aerospace Science and Innovation, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101605081","display_name":"Baoliang Sun","orcid":"https://orcid.org/0009-0008-1112-0012"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baoliang Sun","raw_affiliation_strings":["China Academy of Aerospace Science and Innovation, China"],"raw_orcid":"https://orcid.org/0009-0008-1112-0012","affiliations":[{"raw_affiliation_string":"China Academy of Aerospace Science and Innovation, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nan Liu","orcid":"https://orcid.org/0009-0001-6397-5484"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nan Liu","raw_affiliation_strings":["China Academy of Aerospace Science and Innovation, China"],"raw_orcid":"https://orcid.org/0009-0001-6397-5484","affiliations":[{"raw_affiliation_string":"China Academy of Aerospace Science and Innovation, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011649090","display_name":"\u666f\u9f8d \u5468","orcid":"https://orcid.org/0009-0005-7368-3337"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Zhou","raw_affiliation_strings":["China Academy of Aerospace Science and Innovation, China"],"raw_orcid":"https://orcid.org/0009-0005-7368-3337","affiliations":[{"raw_affiliation_string":"China Academy of Aerospace Science and Innovation, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072531043","display_name":"W. Chen","orcid":"https://orcid.org/0000-0002-9440-2531"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["China Academy of Aerospace Science and Innovation, China"],"raw_orcid":"https://orcid.org/0000-0002-9440-2531","affiliations":[{"raw_affiliation_string":"China Academy of Aerospace Science and Innovation, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064830436","display_name":"Wenqian Yang","orcid":"https://orcid.org/0009-0005-0742-9103"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenqian Yang","raw_affiliation_strings":["China Academy of Aerospace Science and Innovation, China"],"raw_orcid":"https://orcid.org/0009-0005-0742-9103","affiliations":[{"raw_affiliation_string":"China Academy of Aerospace Science and Innovation, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5098770229","display_name":"Xiaoning Zhao","orcid":"https://orcid.org/0009-0009-0419-8708"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoning Zhao","raw_affiliation_strings":["China Academy of Aerospace Science and Innovation, China"],"raw_orcid":"https://orcid.org/0009-0009-0419-8708","affiliations":[{"raw_affiliation_string":"China Academy of Aerospace Science and Innovation, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"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":0.21539043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"688","last_page":"695"},"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":0.9991999864578247,"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":0.9991999864578247,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987999796867371,"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":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.7257158160209656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5788378715515137},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5535995364189148},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4831680655479431},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.42489898204803467},{"id":"https://openalex.org/keywords/contrastive-analysis","display_name":"Contrastive analysis","score":0.41847851872444153},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3316858410835266},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1443665325641632}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7257158160209656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5788378715515137},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5535995364189148},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4831680655479431},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.42489898204803467},{"id":"https://openalex.org/C2777629044","wikidata":"https://www.wikidata.org/wiki/Q614959","display_name":"Contrastive analysis","level":2,"score":0.41847851872444153},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3316858410835266},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1443665325641632},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3652628.3652743","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3652628.3652743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1946093182","https://openalex.org/W2110051872","https://openalex.org/W2199890863","https://openalex.org/W2572697301","https://openalex.org/W2799087793","https://openalex.org/W2963474852","https://openalex.org/W3081227581","https://openalex.org/W3092933908","https://openalex.org/W3115854999","https://openalex.org/W3214744507","https://openalex.org/W4206760693","https://openalex.org/W4285246495","https://openalex.org/W4297102746","https://openalex.org/W4312443924","https://openalex.org/W4312703192","https://openalex.org/W4313890051","https://openalex.org/W4322576645","https://openalex.org/W6600319451","https://openalex.org/W6600474606","https://openalex.org/W6601712973"],"related_works":["https://openalex.org/W2381242807","https://openalex.org/W3126131230","https://openalex.org/W2347541121","https://openalex.org/W2080951048","https://openalex.org/W4288804799","https://openalex.org/W3032237421","https://openalex.org/W2390346111","https://openalex.org/W3011883280","https://openalex.org/W2369082698","https://openalex.org/W2401808953"],"abstract_inverted_index":{"Cross-view":[0],"geo-localization":[1],"aims":[2],"to":[3,31,75,117],"match":[4],"images":[5,82],"of":[6,26,36,121],"the":[7,20,24,34,37,65,78,100,119,128,135],"same":[8],"location":[9],"taken":[10],"from":[11,49],"different":[12,50,138],"platforms,":[13],"such":[14],"as":[15],"drones":[16],"and":[17,52],"satellites.":[18],"However,":[19,59],"altitude":[21],"differences":[22],"between":[23,56,81,103,137],"perspectives":[25,51],"these":[27,60],"platforms":[28],"can":[29,97,126],"lead":[30],"irregularities":[32],"in":[33,73],"appearance":[35],"target":[38,136],"object.":[39],"To":[40],"obtain":[41],"cross-view":[42],"invariant":[43,132],"features,":[44],"existing":[45],"methods":[46,61],"pair":[47],"samples":[48],"use":[53],"contrastive":[54,93,122],"learning":[55,123,130],"analogous":[57],"samples.":[58,105],"are":[62],"influenced":[63],"by":[64],"backbone,":[66],"while":[67],"overlooking":[68],"more":[69],"distinctive":[70],"features.":[71],"Therefore,":[72],"order":[74],"effectively":[76],"learn":[77],"consistency":[79,101],"information":[80,102],"across":[83],"views,":[84],"we":[85,108],"propose":[86,109],"a":[87,91,110],"multi-branch":[88],"framework":[89],"combine":[90],"uniform":[92],"loss":[94],"function":[95],"which":[96,125],"simultaneously":[98],"mine":[99],"multiple":[104],"In":[106],"addition,":[107],"novelty":[111],"special":[112],"designed":[113],"data":[114],"processing":[115],"strategy":[116],"process":[118],"input":[120],"model,":[124],"prompt":[127],"model":[129],"fine-grained":[131],"details":[133],"about":[134],"perspectives.":[139],"Experiments":[140],"on":[141],"widely":[142],"used":[143],"public":[144],"benchmarks":[145],"show":[146],"that":[147],"our":[148],"proposed":[149],"method":[150],"achieves":[151],"superior":[152],"performance":[153],"with":[154],"fewer":[155],"parameter":[156],"models.":[157]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
