{"id":"https://openalex.org/W4390871894","doi":"https://doi.org/10.1109/iccv51070.2023.00343","title":"Scene-Aware Feature Matching","display_name":"Scene-Aware Feature Matching","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4390871894","doi":"https://doi.org/10.1109/iccv51070.2023.00343"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51070.2023.00343","doi":"https://doi.org/10.1109/iccv51070.2023.00343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51070.2023.00343","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"IEEE/CVF International Conference on Computer Vision (ICCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2308.09949","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104290626","display_name":"Xiaoyong Lu","orcid":"https://orcid.org/0009-0003-5379-0034","observed_orcids":["https://orcid.org/0009-0003-5379-0034"]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyong Lu","raw_affiliation_strings":["Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039034303","display_name":"Yaping Yan","orcid":"https://orcid.org/0000-0002-1933-732X","observed_orcids":["https://orcid.org/0000-0002-1933-732X"]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaping Yan","raw_affiliation_strings":["Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tong Wei","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Wei","raw_affiliation_strings":["Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033755910","display_name":"\u0421\u043e\u043d\u0433\u043b\u0438\u043d \u0414\u0443","orcid":"https://orcid.org/0000-0003-4937-2713","observed_orcids":["https://orcid.org/0000-0003-4937-2713"]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songlin Du","raw_affiliation_strings":["Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.7035,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79790649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3681","last_page":"3690"},"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":0.9970999956130981,"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":0.9970999956130981,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.0010000000474974513,"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":0.00039999998989515007,"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/image-tokens","display_name":"image tokens","score":0.6290000081062317},{"id":"https://openalex.org/keywords/homography-estimation","display_name":"homography estimation","score":0.8140000104904175},{"id":"https://openalex.org/keywords/pose-estimation","display_name":"pose estimation","score":0.9829999804496765},{"id":"https://openalex.org/keywords/image-matching","display_name":"image matching","score":0.9919999837875366},{"id":"https://openalex.org/keywords/interpretability","display_name":"interpretability","score":0.4650000035762787}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8115430474281311},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7716339826583862},{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.7485144138336182},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.71625155210495},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.704208254814148},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.6701838970184326},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5904340147972107},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5358247756958008},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5320369601249695},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48740556836128235},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.484814316034317},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4789165258407593},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.46644067764282227},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4195348620414734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09674710035324097},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51070.2023.00343","doi":"https://doi.org/10.1109/iccv51070.2023.00343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51070.2023.00343","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"IEEE/CVF International Conference on Computer Vision (ICCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2308.09949","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.09949","pdf_url":"https://arxiv.org/pdf/2308.09949","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,"listed_in":[],"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-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2308.09949","doi":"https://doi.org/10.48550/arxiv.2308.09949","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2308.09949","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,"listed_in":[],"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-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2308.09949","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.09949","pdf_url":"https://arxiv.org/pdf/2308.09949","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,"listed_in":[],"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-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1026320702","display_name":null,"funder_award_id":"BK20200353","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5200947000","display_name":null,"funder_award_id":"62001110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390871894.pdf","grobid_xml":"https://content.openalex.org/works/W4390871894.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1230023165","https://openalex.org/W1491719799","https://openalex.org/W1522301498","https://openalex.org/W1677409904","https://openalex.org/W2117228865","https://openalex.org/W2120303002","https://openalex.org/W2141362318","https://openalex.org/W2151103935","https://openalex.org/W2158131535","https://openalex.org/W2173649752","https://openalex.org/W2250384498","https://openalex.org/W2471962767","https://openalex.org/W2474281075","https://openalex.org/W2533545350","https://openalex.org/W2551604710","https://openalex.org/W2593814746","https://openalex.org/W2608303904","https://openalex.org/W2626778328","https://openalex.org/W2768360176","https://openalex.org/W2775929773","https://openalex.org/W2795296309","https://openalex.org/W2804394440","https://openalex.org/W2963748588","https://openalex.org/W2963760790","https://openalex.org/W2964118618","https://openalex.org/W2964121744","https://openalex.org/W2979458572","https://openalex.org/W2990655570","https://openalex.org/W2990957769","https://openalex.org/W2991526275","https://openalex.org/W3035472788","https://openalex.org/W3094562205","https://openalex.org/W3107540572","https://openalex.org/W3166285241","https://openalex.org/W3175295430","https://openalex.org/W4221150397","https://openalex.org/W4221154336","https://openalex.org/W4248480789","https://openalex.org/W4312980231","https://openalex.org/W4382466643","https://openalex.org/W4387928059","https://openalex.org/W6770485707"],"related_works":["https://openalex.org/W4415321392","https://openalex.org/W7154753692","https://openalex.org/W4414212827","https://openalex.org/W4379116581","https://openalex.org/W7138350346","https://openalex.org/W4409365765","https://openalex.org/W4413156244","https://openalex.org/W4401852750","https://openalex.org/W4416164656","https://openalex.org/W4402753858"],"abstract_inverted_index":{"Current":[0],"feature":[1,59,118],"matching":[2,119],"methods":[3],"focus":[4],"on":[5,123],"point-level":[6],"matching,":[7,133],"pursuing":[8],"better":[9],"representation":[10],"learning":[11],"of":[12,19],"individual":[13],"features,":[14,64],"but":[15,112],"lacking":[16],"further":[17],"understanding":[18],"the":[20,76,80,100],"scene.":[21],"This":[22],"results":[23],"in":[24],"significant":[25],"performance":[26],"degradation":[27],"when":[28],"handling":[29],"challenging":[30],"scenes":[31,34],"such":[32],"as":[33],"with":[35,71,79],"large":[36],"viewpoint":[37],"and":[38,68,74,94,110,131],"illumination":[39],"changes.":[40],"To":[41],"tackle":[42],"this":[43],"problem,":[44],"we":[45],"propose":[46],"a":[47],"novel":[48],"model":[49,86,137],"named":[50],"SAM,":[51],"which":[52],"applies":[53],"attentional":[54],"grouping":[55,83,97,102],"to":[56],"guide":[57],"Scene-Aware":[58],"Matching.":[60],"SAM":[61,104],"handles":[62],"multi-level":[63],"i.e.,":[65],"image":[66,77,132],"tokens":[67,78],"group":[69],"tokens,":[70],"attention":[72],"layers,":[73],"groups":[75],"proposed":[81],"token":[82],"module.":[84],"Our":[85],"can":[87],"be":[88],"trained":[89],"by":[90],"ground-truth":[91],"matches":[92],"only":[93,107],"produce":[95],"reasonable":[96],"results.":[98],"With":[99],"sense-aware":[101],"guidance,":[103],"is":[105],"not":[106],"more":[108,114],"accurate":[109],"robust":[111],"also":[113],"interpretable":[115],"than":[116],"conventional":[117],"models.":[120],"Sufficient":[121],"experiments":[122],"various":[124],"applications,":[125],"including":[126],"homography":[127],"estimation,":[128,130],"pose":[129],"demonstrate":[134],"that":[135],"our":[136],"achieves":[138],"state-of-the-art":[139],"performance.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2024-01-16T00:00:00"}
