{"id":"https://openalex.org/W4416125329","doi":"https://doi.org/10.1142/s0218001425500284","title":"Region Segmentation-Based Dual Branch Cost Aggregation for Lightweight Stereo Matching","display_name":"Region Segmentation-Based Dual Branch Cost Aggregation for Lightweight Stereo Matching","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W4416125329","doi":"https://doi.org/10.1142/s0218001425500284"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001425500284","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425500284","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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":null,"display_name":"Tengfei Wang","orcid":"https://orcid.org/0009-0005-4201-3920"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]},{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengfei Wang","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui 230009, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0005-4201-3920","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui 230009, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I16365422","https://openalex.org/I39774598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078451282","display_name":"Yang Lu","orcid":"https://orcid.org/0000-0003-0564-6196"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]},{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Lu","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui 230009, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0000-0003-0564-6196","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui 230009, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I16365422","https://openalex.org/I39774598"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xing Wei","orcid":"https://orcid.org/0000-0002-8392-5660"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]},{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Wei","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui 230009, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0000-0002-8392-5660","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui 230009, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I16365422","https://openalex.org/I39774598"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101995776","display_name":"Zhen Wei","orcid":"https://orcid.org/0000-0002-3818-4680"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]},{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhen Wei","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui 230009, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0000-0002-3818-4680","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui 230009, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I16365422","https://openalex.org/I39774598"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101995776"],"corresponding_institution_ids":["https://openalex.org/I16365422","https://openalex.org/I39774598"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3043511,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"01","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.992900013923645,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.992900013923645,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.0012000000569969416,"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":0.0010999999940395355,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6503000259399414},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5817999839782715},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5479000210762024},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5317000150680542},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.49129998683929443},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4408999979496002},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.42820000648498535},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.4212000072002411}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7871000170707703},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6503000259399414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6087999939918518},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5817999839782715},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5479000210762024},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5317000150680542},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5246000289916992},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.49129998683929443},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4408999979496002},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.42820000648498535},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.4212000072002411},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.3928999900817871},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.36070001125335693},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32440000772476196},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.31949999928474426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3107999861240387},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.28360000252723694},{"id":"https://openalex.org/C203527163","wikidata":"https://www.wikidata.org/wiki/Q262959","display_name":"Cuboid","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001425500284","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425500284","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1921093919","https://openalex.org/W2104974755","https://openalex.org/W2108598243","https://openalex.org/W2117248802","https://openalex.org/W2144041313","https://openalex.org/W2150066425","https://openalex.org/W2259424905","https://openalex.org/W2604231069","https://openalex.org/W2738441955","https://openalex.org/W2886934227","https://openalex.org/W2886944874","https://openalex.org/W2952813711","https://openalex.org/W2963163009","https://openalex.org/W2963277791","https://openalex.org/W2963316559","https://openalex.org/W2963617879","https://openalex.org/W2963619659","https://openalex.org/W2982083293","https://openalex.org/W2982809261","https://openalex.org/W3034514115","https://openalex.org/W3091300680","https://openalex.org/W3172573759","https://openalex.org/W3172955525","https://openalex.org/W3188295239","https://openalex.org/W3195680177","https://openalex.org/W3196904463","https://openalex.org/W4285296546","https://openalex.org/W4312388078","https://openalex.org/W4312388571","https://openalex.org/W4313117780","https://openalex.org/W4386068717","https://openalex.org/W4386071550","https://openalex.org/W4389104737","https://openalex.org/W4393159325","https://openalex.org/W4401536483","https://openalex.org/W4402727617","https://openalex.org/W4402754131","https://openalex.org/W4403290157","https://openalex.org/W4413945797"],"related_works":[],"abstract_inverted_index":{"Recently,":[0],"stereo":[1,73,170],"matching":[2,74,171],"models":[3],"based":[4,82],"on":[5,26,83,153,179],"3D":[6,21],"CNNs":[7],"have":[8],"achieved":[9],"excellent":[10],"performance.":[11],"However,":[12],"huge":[13],"computational":[14,89,128],"burden":[15,129],"and":[16,29,110,130,158,196],"memory":[17],"footprint":[18],"of":[19,64,120],"deep":[20],"convolution":[22,57,125],"limit":[23],"their":[24],"deployment":[25],"edge":[27,49,102,107],"devices":[28],"real-time":[30],"scenes.":[31],"Furthermore,":[32],"given":[33],"that":[34],"disparity":[35,39,46,108,118],"maps":[36],"exhibit":[37],"continuous":[38],"variations":[40],"in":[41,56],"content":[42,112,122],"regions":[43],"but":[44],"sharp":[45],"variants":[47],"at":[48],"areas,":[50],"spatially":[51],"shared":[52],"weight":[53],"mechanism":[54],"inherent":[55],"may":[58],"struggle":[59],"to":[60,86,105,115,142],"handle":[61],"both":[62],"types":[63],"regions.":[65],"In":[66],"this":[67],"paper,":[68],"we":[69,92],"propose":[70],"a":[71,191],"lightweight":[72],"model,":[75],"called":[76],"DBCANet,":[77],"with":[78],"Dual-Branch":[79],"Cost":[80],"Aggregation":[81],"region":[84],"segmentation":[85],"reduce":[87],"the":[88,94,101,111,117,121,127,135,145,163],"burden.":[90],"Specifically,":[91],"divide":[93],"cost":[95],"aggregation":[96],"module":[97],"into":[98],"two":[99],"branches:":[100],"branch":[103,113,132],"is":[104,114,176,184],"aggregate":[106,116],"information,":[109],"information":[119],"region.":[123],"2D":[124],"reduces":[126],"dual":[131],"can":[133,161,189],"mitigate":[134],"problem":[136],"caused":[137],"by":[138],"convolutional":[139],"spatially-shared":[140],"weights":[141],"compensate":[143],"for":[144],"accuracy":[146,195],"loss.":[147],"We":[148],"extensively":[149],"validate":[150],"our":[151,159],"model":[152,160,188,197],"Scene":[154,180],"Flow,":[155],"KITTI":[156],"datasets,":[157],"achieve":[162,190],"lowest":[164],"multiply-accumulate":[165],"operations":[166],"(MACs)":[167],"among":[168],"speed-oriented":[169],"models,":[172],"while":[173],"its":[174],"EPE":[175],"only":[177],"0.59":[178],"Flow":[181],"dataset,":[182],"which":[183],"ranked":[185],"second.":[186],"Our":[187],"good":[192],"balance":[193],"between":[194],"computation.":[198]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-11-12T00:00:00"}