{"id":"https://openalex.org/W7155180659","doi":"https://doi.org/10.48550/arxiv.2604.19609","title":"Volume Transformer: Revisiting Vanilla Transformers for 3D Scene Understanding","display_name":"Volume Transformer: Revisiting Vanilla Transformers for 3D Scene Understanding","publication_year":2026,"publication_date":"2026-04-21","ids":{"openalex":"https://openalex.org/W7155180659","doi":"https://doi.org/10.48550/arxiv.2604.19609"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.19609","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.19609","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,"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.2604.19609","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045844841","display_name":"Kadir Y\u0131lmaz","orcid":"https://orcid.org/0000-0002-0819-3420"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yilmaz, Kadir","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000172186","display_name":"Adrian Kruse","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kruse, Adrian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101304147","display_name":"Tristan H\u00f6fer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H\u00f6fer, Tristan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061463972","display_name":"Daan de Geus","orcid":"https://orcid.org/0000-0003-0559-5341"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"de Geus, Daan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5071006649","display_name":"Bastian Leibe","orcid":"https://orcid.org/0000-0003-4225-0051"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leibe, Bastian","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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.8144999742507935,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.8144999742507935,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.040300000458955765,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.03920000046491623,"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/transformer","display_name":"Transformer","score":0.7026000022888184},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6018999814987183},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5515000224113464},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.4259999990463257},{"id":"https://openalex.org/keywords/3d-model","display_name":"3d model","score":0.32429999113082886},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3197000026702881}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7026000022888184},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6596999764442444},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6018999814987183},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5515000224113464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5202999711036682},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.4259999990463257},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.335999995470047},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.32429999113082886},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C124584101","wikidata":"https://www.wikidata.org/wiki/Q1053266","display_name":"Multiplier (economics)","level":2,"score":0.31439998745918274},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.272599995136261},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C157985801","wikidata":"https://www.wikidata.org/wiki/Q25250","display_name":"Volt","level":3,"score":0.2612999975681305}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.19609","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.19609","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,"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.2604.19609","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.19609","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,"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Transformers":[0],"have":[1],"become":[2],"a":[3,89,136,149,193,197,206,216],"common":[4],"foundation":[5],"across":[6,184],"deep":[7],"learning,":[8,122],"yet":[9],"3D":[10,61,69,90,109,117,129,143,179,199,222],"scene":[11,223],"understanding":[12],"still":[13],"relies":[14],"on":[15,115,141,165],"specialized":[16],"backbones":[17],"with":[18,63,80,155],"strong":[19,142],"domain":[20],"priors.":[21],"This":[22],"keeps":[23],"the":[24,28,33,41,56,98,101,124,210],"field":[25],"isolated":[26],"from":[27,148,174],"broader":[29],"Transformer":[30,58,103],"ecosystem,":[31],"limiting":[32],"transfer":[34],"of":[35,43,92,127,209],"new":[36,207],"advances":[37],"as":[38,40,192,215],"well":[39],"benefits":[42,172],"increasingly":[44],"optimized":[45],"software":[46],"and":[47,84,105,146,168,186],"hardware":[48],"stacks.":[49],"To":[50,131],"bridge":[51],"this":[52],"gap,":[53],"we":[54,71,134],"adapt":[55],"vanilla":[57],"encoder":[59],"to":[60,108,120],"scenes":[62],"minimal":[64],"modifications.":[65],"Given":[66],"an":[67],"input":[68],"scene,":[70],"partition":[72],"it":[73,107],"into":[74],"volumetric":[75],"patch":[76],"tokens,":[77],"process":[78],"them":[79],"full":[81],"global":[82],"self-attention,":[83],"inject":[85],"positional":[86,94],"information":[87],"via":[88],"extension":[91],"rotary":[93],"embeddings.":[95],"We":[96,158],"call":[97],"resulting":[99],"model":[100],"Volume":[102],"(Volt)":[104],"apply":[106],"semantic":[110],"segmentation.":[111],"Naively":[112],"training":[113,138,164],"Volt":[114,153,171,203],"standard":[116,198],"benchmarks":[118],"leads":[119],"shortcut":[121],"highlighting":[123,212],"limited":[125],"scale":[126,160,176],"current":[128],"supervision.":[130],"overcome":[132],"this,":[133],"introduce":[135],"data-efficient":[137],"recipe":[139],"based":[140],"augmentations,":[144],"regularization,":[145],"distillation":[147],"convolutional":[150],"teacher,":[151],"making":[152],"competitive":[154],"state-of-the-art":[156,182],"methods.":[157],"then":[159],"supervision":[161],"through":[162],"joint":[163],"multiple":[166],"datasets":[167],"show":[169],"that":[170],"more":[173],"increased":[175],"than":[177],"domain-specific":[178],"backbones,":[180],"achieving":[181],"results":[183],"indoor":[185],"outdoor":[187],"datasets.":[188],"Finally,":[189],"when":[190],"used":[191],"drop-in":[194],"backbone":[195,220],"in":[196],"instance":[200],"segmentation":[201],"pipeline,":[202],"again":[204],"sets":[205],"state":[208],"art,":[211],"its":[213],"potential":[214],"simple,":[217],"scalable,":[218],"general-purpose":[219],"for":[221],"understanding.":[224]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-23T00:00:00"}
