{"id":"https://openalex.org/W7165730150","doi":"https://doi.org/10.48550/arxiv.2606.24330","title":"REDI-Match: Rotation-Equivariant Distillation for Efficient and Robust Dense Matching","display_name":"REDI-Match: Rotation-Equivariant Distillation for Efficient and Robust Dense Matching","publication_year":2026,"publication_date":"2026-06-23","ids":{"openalex":"https://openalex.org/W7165730150","doi":"https://doi.org/10.48550/arxiv.2606.24330"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.24330","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24330","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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.2606.24330","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139274134","display_name":"Yinji Ge","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ge, Yinji","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114169135","display_name":"Guixu Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Guixu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015512373","display_name":"Wulong Guo","orcid":"https://orcid.org/0000-0002-9315-1750"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Wulong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013950471","display_name":"Qian Feng","orcid":"https://orcid.org/0000-0002-1967-3796"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Qian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090578536","display_name":"X . Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139275331","display_name":"Kai Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Kai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139257669","display_name":"Xinyuan Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xinyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139225988","display_name":"Fei Xing","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xing, Fei","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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.25850000977516174,"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":0.25850000977516174,"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":0.20000000298023224,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.07410000264644623,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/rotation","display_name":"Rotation (mathematics)","score":0.5835999846458435},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5565999746322632},{"id":"https://openalex.org/keywords/equivariant-map","display_name":"Equivariant map","score":0.54830002784729},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.49709999561309814},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.4966000020503998},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.46160000562667847},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.44359999895095825},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4406999945640564}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6995000243186951},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5835999846458435},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5565999746322632},{"id":"https://openalex.org/C171036898","wikidata":"https://www.wikidata.org/wiki/Q256355","display_name":"Equivariant map","level":2,"score":0.54830002784729},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.49709999561309814},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4966000020503998},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4893999993801117},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.46160000562667847},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.44359999895095825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4433000087738037},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4406999945640564},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4302999973297119},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.42879998683929443},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.36059999465942383},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.3529999852180481},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3431999981403351},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3109000027179718},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2581000030040741}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.24330","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24330","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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.2606.24330","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24330","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":{"Vision":[0],"Foundation":[1],"Models":[2],"(VFMs)":[3],"have":[4],"significantly":[5],"advanced":[6],"dense":[7],"feature":[8],"matching,":[9],"yet":[10],"severe":[11],"in-plane":[12],"rotation":[13,57,86,136],"remains":[14],"a":[15,21,76,100,103,159,169,197],"critical":[16],"challenge.":[17],"Existing":[18],"solutions":[19],"face":[20],"fundamental":[22],"dilemma:":[23],"data-driven":[24],"methods":[25],"require":[26],"inefficient":[27],"parameter":[28],"scaling":[29],"to":[30,59,89,113],"implicitly":[31],"learn":[32],"rotations,":[33],"whereas":[34],"strictly":[35,105],"equivariant":[36,110],"networks":[37],"lack":[38],"the":[39,53,60,95,125,143,176,186],"semantic":[40,97],"capacity":[41],"of":[42,56,83,99],"modern":[43],"VFMs.":[44],"Consequently,":[45],"current":[46,187],"frameworks":[47],"typically":[48],"freeze":[49],"VFMs":[50],"and":[51],"shift":[52],"entire":[54],"burden":[55],"generalization":[58],"downstream":[61],"decoder.":[62],"To":[63,118],"break":[64],"this":[65,138],"architectural":[66],"bottleneck,":[67],"we":[68,123],"propose":[69],"REDI-Match,":[70],"an":[71,109,128],"efficient":[72],"framework":[73],"driven":[74],"by":[75],"novel":[77],"Rotation-Equivariant":[78],"Distillation":[79],"(REDI)":[80],"paradigm.":[81],"Instead":[82],"relying":[84],"on":[85,175,196],"data":[87],"augmentation":[88],"establish":[90],"rotational":[91],"correspondences,":[92],"REDI":[93],"distills":[94],"non-equivariant":[96],"representations":[98],"VFM":[101],"into":[102],"lightweight,":[104],"rotation-equivariant":[106],"encoder,":[107],"leveraging":[108],"geometric":[111],"architecture":[112],"constrain":[114],"robust":[115],"high-dimensional":[116],"semantics.":[117],"fully":[119],"exploit":[120],"these":[121],"features,":[122],"equip":[124],"decoder":[126],"with":[127],"entropy-driven":[129],"spatial":[130],"alignment":[131],"module.":[132],"By":[133],"evaluating":[134],"discrete":[135],"hypotheses,":[137],"mechanism":[139],"explicitly":[140],"locks":[141],"onto":[142],"canonical":[144],"coordinate":[145],"system,":[146],"eliminating":[147],"global":[148],"ambiguity":[149],"before":[150],"continuous":[151],"refinement.":[152],"Extensive":[153],"experiments":[154],"demonstrate":[155],"that":[156],"REDI-Match":[157],"establishes":[158],"new":[160],"state-of-the-art":[161],"(SOTA)":[162],"across":[163],"multiple":[164],"benchmarks.":[165],"Notably,":[166],"it":[167],"achieves":[168],"13.89%":[170],"absolute":[171],"pose":[172],"accuracy":[173],"improvement":[174],"highly":[177],"challenging":[178],"SatAst":[179],"dataset":[180],"while":[181],"operating":[182],"1.9x":[183],"faster":[184],"than":[185],"SOTA":[188],"(RoMa":[189],"v2),":[190],"enabling":[191],"real-time":[192],"inference":[193],"(~41":[194],"FPS)":[195],"single":[198],"RTX":[199],"4090":[200],"GPU.":[201],"Code:":[202],"https://github.com/YinjiGe/REDI-Match.":[203]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-25T00:00:00"}
