{"id":"https://openalex.org/W4403488419","doi":"https://doi.org/10.3233/faia240532","title":"CorrAdaptor: Adaptive Local Context Learning for Correspondence Pruning","display_name":"CorrAdaptor: Adaptive Local Context Learning for Correspondence Pruning","publication_year":2024,"publication_date":"2024-10-16","ids":{"openalex":"https://openalex.org/W4403488419","doi":"https://doi.org/10.3233/faia240532"},"language":"en","primary_location":{"id":"doi:10.3233/faia240532","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240532","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240532","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240532","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060852587","display_name":"W. J. Zhu","orcid":"https://orcid.org/0000-0003-2618-0436"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhu","raw_affiliation_strings":["China Mobile Zijin Innovation Insititute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Zijin Innovation Insititute","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101706512","display_name":"Yicheng Liu","orcid":"https://orcid.org/0000-0003-0318-7870"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yicheng Liu","raw_affiliation_strings":["Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015486422","display_name":"Yuping He","orcid":"https://orcid.org/0000-0002-1448-200X"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuping He","raw_affiliation_strings":["Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043306089","display_name":"Tangfei Liao","orcid":"https://orcid.org/0009-0001-7948-6829"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tangfei Liao","raw_affiliation_strings":["Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110380503","display_name":"Kang Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Zheng","raw_affiliation_strings":["China Mobile Zijin Innovation Insititute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Zijin Innovation Insititute","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010606919","display_name":"Xiaoqiu Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqiu Xu","raw_affiliation_strings":["China Mobile Zijin Innovation Insititute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Zijin Innovation Insititute","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115695385","display_name":"Tao Wang","orcid":"https://orcid.org/0009-0003-1825-0163"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100679289","display_name":"Tong Lu","orcid":"https://orcid.org/0000-0001-5805-5336"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Lu","raw_affiliation_strings":["Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.36151456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T12031","display_name":"Speech and dialogue systems","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12031","display_name":"Speech and dialogue systems","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10028","display_name":"Topic Modeling","score":0.9430000185966492,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9361000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/pruning","display_name":"Pruning","score":0.653033971786499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5362744927406311},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5112793445587158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.492757111787796},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21626034379005432},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08059749007225037},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.04607588052749634},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.02879267930984497}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.653033971786499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5362744927406311},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5112793445587158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.492757111787796},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21626034379005432},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08059749007225037},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.04607588052749634},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.02879267930984497}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia240532","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240532","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240532","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia240532","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240532","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240532","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403488419.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"the":[1,75,87,101,107,128,132],"fields":[2],"of":[3,61,134],"computer":[4],"vision":[5],"and":[6,20,23,69,98,110,136,162],"robotics,":[7],"accurate":[8],"pixel-level":[9],"correspondences":[10],"are":[11],"essential":[12],"for":[13,46,82],"enabling":[14],"advanced":[15],"tasks":[16,152],"such":[17],"as":[18],"structure-from-motion":[19],"simultaneous":[21],"localization":[22],"mapping.":[24],"Recent":[25],"correspondence":[26],"pruning":[27],"methods":[28],"usually":[29],"focus":[30],"on":[31,149],"learning":[32],"local":[33,64,71,102,138],"consistency":[34,126],"through":[35,66],"k-nearest":[36],"neighbors,":[37],"which":[38],"makes":[39],"it":[40],"difficult":[41],"to":[42,94,112,123,130],"capture":[43],"robust":[44],"context":[45,103,139],"each":[47],"correspondence.":[48],"We":[49],"propose":[50],"CorrAdaptor,":[51],"a":[52,57,91,119],"novel":[53],"architecture":[54],"that":[55,154],"introduces":[56],"dual-branch":[58],"structure":[59],"capable":[60],"adaptively":[62,99],"adjusting":[63],"contexts":[65],"both":[67,160],"explicit":[68,76],"implicit":[70,88],"graph":[72],"learning.":[73],"Specifically,":[74],"branch":[77,89],"uses":[78],"KNN-based":[79],"graphs":[80],"tailored":[81],"initial":[83],"neighborhood":[84],"identification,":[85],"while":[86],"leverages":[90],"learnable":[92],"matrix":[93],"softly":[95],"assign":[96],"neighbors":[97],"expand":[100],"scope,":[104],"significantly":[105],"enhancing":[106],"model\u2019s":[108],"robustness":[109],"adaptability":[111],"complex":[113],"image":[114],"variations.":[115],"Moreover,":[116],"we":[117],"design":[118],"motion":[120,125],"injection":[121],"module":[122],"integrate":[124],"into":[127],"network":[129],"suppress":[131],"impact":[133],"outliers":[135],"refine":[137],"learning,":[140],"resulting":[141],"in":[142],"substantial":[143],"performance":[144,159],"improvements.":[145],"The":[146],"experimental":[147],"results":[148],"extensive":[150],"correspondence-based":[151],"indicate":[153],"our":[155],"CorrAdaptor":[156],"achieves":[157],"state-of-the-art":[158],"qualitatively":[161],"quantitatively.":[163]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
