{"id":"https://openalex.org/W4386083013","doi":"https://doi.org/10.1109/cvpr52729.2023.02096","title":"Learning Rotation-Equivariant Features for Visual Correspondence","display_name":"Learning Rotation-Equivariant Features for Visual Correspondence","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4386083013","doi":"https://doi.org/10.1109/cvpr52729.2023.02096"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52729.2023.02096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.02096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5100341503","display_name":"Jong\u2010Min Lee","orcid":"https://orcid.org/0000-0003-1200-5629"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jongmin Lee","raw_affiliation_strings":["Pohang University of Science and Technology (POSTECH),South Korea","Pohang University of Science and Technology (POSTECH), South Korea"],"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology (POSTECH),South Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Pohang University of Science and Technology (POSTECH), South Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112753313","display_name":"Byungjin Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byungjin Kim","raw_affiliation_strings":["Pohang University of Science and Technology (POSTECH),South Korea","Pohang University of Science and Technology (POSTECH), South Korea"],"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology (POSTECH),South Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Pohang University of Science and Technology (POSTECH), South Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101916177","display_name":"Seungwook Kim","orcid":"https://orcid.org/0000-0003-4178-772X"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungwook Kim","raw_affiliation_strings":["Pohang University of Science and Technology (POSTECH),South Korea","Pohang University of Science and Technology (POSTECH), South Korea"],"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology (POSTECH),South Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Pohang University of Science and Technology (POSTECH), South Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087650565","display_name":"Minsu Cho","orcid":"https://orcid.org/0000-0002-9442-9232"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minsu Cho","raw_affiliation_strings":["Pohang University of Science and Technology (POSTECH),South Korea","Pohang University of Science and Technology (POSTECH), South Korea"],"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology (POSTECH),South Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Pohang University of Science and Technology (POSTECH), South Korea","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100341503"],"corresponding_institution_ids":["https://openalex.org/I123900574"],"apc_list":null,"apc_paid":null,"fwci":24.0051,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.99401154,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"21887","last_page":"21897"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/equivariant-map","display_name":"Equivariant map","score":0.8817229270935059},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.768402099609375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7280822992324829},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6988834142684937},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6334691643714905},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.502631425857544},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49074041843414307},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48234647512435913},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.47764647006988525},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.45783212780952454},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4415455460548401},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4120739996433258},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13064536452293396},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.08853021264076233},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06530454754829407}],"concepts":[{"id":"https://openalex.org/C171036898","wikidata":"https://www.wikidata.org/wiki/Q256355","display_name":"Equivariant map","level":2,"score":0.8817229270935059},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.768402099609375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7280822992324829},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6988834142684937},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6334691643714905},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.502631425857544},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49074041843414307},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48234647512435913},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.47764647006988525},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.45783212780952454},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4415455460548401},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4120739996433258},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13064536452293396},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.08853021264076233},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06530454754829407},{"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:10.1109/cvpr52729.2023.02096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.02096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G5327309970","display_name":null,"funder_award_id":"SRFC-TF2103-02","funder_id":"https://openalex.org/F4320332195","funder_display_name":"Samsung"},{"id":"https://openalex.org/G8585222155","display_name":null,"funder_award_id":"NRF-2021R1A2C3012728","funder_id":"https://openalex.org/F4320309788","funder_display_name":"Neurosciences Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320309788","display_name":"Neurosciences Research Foundation","ror":"https://ror.org/05exfab56"},{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":86,"referenced_works":["https://openalex.org/W153084048","https://openalex.org/W1612997784","https://openalex.org/W1861492603","https://openalex.org/W1909224301","https://openalex.org/W1948751323","https://openalex.org/W2043301626","https://openalex.org/W2111308925","https://openalex.org/W2115362620","https://openalex.org/W2117228865","https://openalex.org/W2136163184","https://openalex.org/W2144578488","https://openalex.org/W2151103935","https://openalex.org/W2163446794","https://openalex.org/W2172188317","https://openalex.org/W2177274842","https://openalex.org/W2194775991","https://openalex.org/W2320444803","https://openalex.org/W2344947483","https://openalex.org/W2471962767","https://openalex.org/W2569680626","https://openalex.org/W2576915720","https://openalex.org/W2609147672","https://openalex.org/W2618039218","https://openalex.org/W2740418457","https://openalex.org/W2769152880","https://openalex.org/W2798548676","https://openalex.org/W2804394440","https://openalex.org/W2842511635","https://openalex.org/W2884354140","https://openalex.org/W2947326555","https://openalex.org/W2963299736","https://openalex.org/W2963748588","https://openalex.org/W2963883548","https://openalex.org/W2973665503","https://openalex.org/W2979458572","https://openalex.org/W2981799316","https://openalex.org/W2985822417","https://openalex.org/W2988922254","https://openalex.org/W2991115635","https://openalex.org/W3005680577","https://openalex.org/W3010242131","https://openalex.org/W3034411221","https://openalex.org/W3034673077","https://openalex.org/W3037854993","https://openalex.org/W3041380886","https://openalex.org/W3043075211","https://openalex.org/W3092233714","https://openalex.org/W3105618255","https://openalex.org/W3107939686","https://openalex.org/W3119830102","https://openalex.org/W3170033848","https://openalex.org/W3196312384","https://openalex.org/W3203720982","https://openalex.org/W4210300019","https://openalex.org/W4283031194","https://openalex.org/W4283315865","https://openalex.org/W4297688279","https://openalex.org/W4297779075","https://openalex.org/W4297808394","https://openalex.org/W4298392935","https://openalex.org/W4312339537","https://openalex.org/W4312512675","https://openalex.org/W4312592569","https://openalex.org/W4312688791","https://openalex.org/W4312986557","https://openalex.org/W4312996722","https://openalex.org/W6606277630","https://openalex.org/W6639102338","https://openalex.org/W6681636949","https://openalex.org/W6682103744","https://openalex.org/W6694954494","https://openalex.org/W6700340091","https://openalex.org/W6738345448","https://openalex.org/W6742151855","https://openalex.org/W6752208963","https://openalex.org/W6753257025","https://openalex.org/W6767104088","https://openalex.org/W6767766851","https://openalex.org/W6770485707","https://openalex.org/W6774314701","https://openalex.org/W6779739962","https://openalex.org/W6780053115","https://openalex.org/W6780918837","https://openalex.org/W6784614708","https://openalex.org/W6838784707","https://openalex.org/W6839225350"],"related_works":["https://openalex.org/W3148895720","https://openalex.org/W2965546495","https://openalex.org/W2393913406","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W30258475","https://openalex.org/W2798549588","https://openalex.org/W2244279624"],"abstract_inverted_index":{"Extracting":[0],"discriminative":[1,30],"local":[2,136],"features":[3,48,62,81],"that":[4,77],"are":[5,66],"invariant":[6,74],"to":[7,28,37,45,55,138,161],"imaging":[8],"variations":[9],"is":[10,111],"an":[11,121],"integral":[12],"part":[13],"of":[14,98,106,164],"establishing":[15],"correspondences":[16],"between":[17],"images.":[18],"In":[19],"this":[20],"work,":[21],"we":[22,119],"introduce":[23],"a":[24,72,115,130],"self-supervised":[25,116],"learning":[26],"framework":[27],"extract":[29],"rotation-invariant":[31,149],"descriptors":[32,137,150],"using":[33],"group-equivariant":[34,39,80],"CNNs.":[35],"Thanks":[36],"employing":[38],"CNNs,":[40],"our":[41],"method":[42,110,142],"effectively":[43],"learns":[44],"obtain":[46],"rotation-equivariant":[47],"and":[49,63,102,129,154,167],"their":[50,64,83],"orientations":[51,65,84],"explicitly,":[52],"without":[53,95],"having":[54],"perform":[56],"sophisticated":[57],"data":[58],"augmentations.":[59],"The":[60,108],"resultant":[61],"further":[67],"processed":[68],"by":[69,82],"group":[70,87,90,100],"aligning,":[71],"novel":[73],"mapping":[75],"technique":[76,92],"shifts":[78],"the":[79,86,99,126,162],"along":[85],"dimension.":[88],"Our":[89,141],"aligning":[91],"achieves":[93],"rotation-invariance":[94],"any":[96],"collapse":[97],"dimension":[101],"thus":[103],"eschews":[104],"loss":[105,124,133],"discriminability.":[107],"proposed":[109],"trained":[112],"end-to-end":[113],"in":[114],"manner,":[117],"where":[118],"use":[120],"orientation":[122,127],"alignment":[123],"for":[125,134],"estimation":[128],"contrastive":[131],"descriptor":[132],"robust":[135],"geometric/photometric":[139],"variations.":[140],"demonstrates":[143],"state-of-the-art":[144],"matching":[145,166],"accuracy":[146],"among":[147],"existing":[148],"under":[151],"varying":[152],"rotation":[153],"also":[155],"shows":[156],"competitive":[157],"results":[158],"when":[159],"transferred":[160],"task":[163],"keypoint":[165],"camera":[168],"pose":[169],"estimation.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":17}],"updated_date":"2026-03-03T08:47:05.690250","created_date":"2025-10-10T00:00:00"}
