{"id":"https://openalex.org/W3011563194","doi":"https://doi.org/10.1109/access.2020.2980243","title":"A Convolutional Attention Residual Network for Stereo Matching","display_name":"A Convolutional Attention Residual Network for Stereo Matching","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3011563194","doi":"https://doi.org/10.1109/access.2020.2980243","mag":"3011563194"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2980243","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2980243","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09034053.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09034053.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018925670","display_name":"Guangyi Huang","orcid":"https://orcid.org/0000-0003-2503-2044"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]},{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyi Huang","raw_affiliation_strings":["Intelligent Health and Visual Computing Lab, Guangdong University of Foreign Studies, Guangzhou, China","School of Computer Science, South China Normal University, Guangzhou, China","Intelligent Health and Visual Computing Lab, Guangdong University of Foreign Studies, Guangzhou, China; School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2503-2044","affiliations":[{"raw_affiliation_string":"Intelligent Health and Visual Computing Lab, Guangdong University of Foreign Studies, Guangzhou, China","institution_ids":["https://openalex.org/I186272606"]},{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]},{"raw_affiliation_string":"Intelligent Health and Visual Computing Lab, Guangdong University of Foreign Studies, Guangzhou, China; School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I186272606","https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034599517","display_name":"Yongyi Gong","orcid":"https://orcid.org/0000-0002-8559-1801"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongyi Gong","raw_affiliation_strings":["Intelligent Health and Visual Computing Lab, Guangdong University of Foreign Studies, Guangzhou, China","School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8559-1801","affiliations":[{"raw_affiliation_string":"Intelligent Health and Visual Computing Lab, Guangdong University of Foreign Studies, Guangzhou, China","institution_ids":["https://openalex.org/I186272606"]},{"raw_affiliation_string":"School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030526156","display_name":"Qingzhen Xu","orcid":"https://orcid.org/0000-0001-6687-8367"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingzhen Xu","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China","School of Computer Science South China Normal University Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6687-8367","affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]},{"raw_affiliation_string":"School of Computer Science South China Normal University Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069367912","display_name":"Kanoksak Wattanachote","orcid":"https://orcid.org/0000-0001-6558-9395"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kanoksak Wattanachote","raw_affiliation_strings":["School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China","School of Information Science and Technology, Guangdong University of Foreign, Studies, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6558-9395","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China","institution_ids":["https://openalex.org/I186272606"]},{"raw_affiliation_string":"School of Information Science and Technology, Guangdong University of Foreign, Studies, Guangzhou, China","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101544390","display_name":"Kun Zeng","orcid":"https://orcid.org/0000-0002-2211-5533"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Zeng","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","Sch. of Data & Comput. Sci., Sun Yat-sen Univ., Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Sch. of Data & Comput. Sci., Sun Yat-sen Univ., Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100426931","display_name":"Xiaonan Luo","orcid":"https://orcid.org/0000-0002-0751-5045"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaonan Luo","raw_affiliation_strings":["School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China","[School of Computer science and Information Security, Guilin University of Electronic Technology, Guilin, China]"],"raw_orcid":"https://orcid.org/0000-0002-0751-5045","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]},{"raw_affiliation_string":"[School of Computer science and Information Security, Guilin University of Electronic Technology, Guilin, China]","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.9274,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.86617198,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"50828","last_page":"50842"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9984999895095825,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.77349853515625},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7471685409545898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5889274477958679},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5381506085395813},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5167819261550903},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36339226365089417},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2212054431438446},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11684751510620117},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08014920353889465}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77349853515625},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7471685409545898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5889274477958679},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5381506085395813},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5167819261550903},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36339226365089417},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2212054431438446},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11684751510620117},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08014920353889465}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2980243","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2980243","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09034053.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:98d51994e78842f9a5b259893fd57e5a","is_oa":true,"landing_page_url":"https://doaj.org/article/98d51994e78842f9a5b259893fd57e5a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 50828-50842 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2980243","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2980243","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09034053.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3018001707","display_name":null,"funder_award_id":"61772149","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6684163971","display_name":null,"funder_award_id":"2019A1515011078","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G7576368203","display_name":"\u57fa\u4e8eCT\u548cMRI\u5f71\u50cf\u7684\u80bf\u7624\u5207\u9664\u5b89\u5168\u754c\u9650\u8f85\u52a9\u8bbe\u5b9a\u4e2d\u7684\u7f51\u683c\u5efa\u6a21\u4e0e\u7f51\u683c\u7f16\u8f91","funder_award_id":"61370160","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3011563194.pdf","grobid_xml":"https://content.openalex.org/works/W3011563194.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W53293654","https://openalex.org/W117717820","https://openalex.org/W1522301498","https://openalex.org/W1772650917","https://openalex.org/W1912649600","https://openalex.org/W1921093919","https://openalex.org/W1929856797","https://openalex.org/W1939746761","https://openalex.org/W1955055330","https://openalex.org/W1989310712","https://openalex.org/W1998419211","https://openalex.org/W2039580825","https://openalex.org/W2104974755","https://openalex.org/W2117248802","https://openalex.org/W2133485760","https://openalex.org/W2150066425","https://openalex.org/W2170921316","https://openalex.org/W2194775991","https://openalex.org/W2214868166","https://openalex.org/W2259424905","https://openalex.org/W2295107390","https://openalex.org/W2400810967","https://openalex.org/W2440384215","https://openalex.org/W2507997560","https://openalex.org/W2548527721","https://openalex.org/W2549139847","https://openalex.org/W2559178909","https://openalex.org/W2560143868","https://openalex.org/W2583968476","https://openalex.org/W2584471766","https://openalex.org/W2604231069","https://openalex.org/W2613818078","https://openalex.org/W2738441955","https://openalex.org/W2756305021","https://openalex.org/W2795023265","https://openalex.org/W2805430142","https://openalex.org/W2884585870","https://openalex.org/W2886944874","https://openalex.org/W2900615949","https://openalex.org/W2914447188","https://openalex.org/W2941889300","https://openalex.org/W2949964146","https://openalex.org/W2963231581","https://openalex.org/W2963277791","https://openalex.org/W2963496125","https://openalex.org/W2963502507","https://openalex.org/W2963619659","https://openalex.org/W2963881378","https://openalex.org/W2964116251","https://openalex.org/W2964121744","https://openalex.org/W3100388886","https://openalex.org/W6602156835","https://openalex.org/W6631190155","https://openalex.org/W6638039622","https://openalex.org/W6640083356","https://openalex.org/W6640185247","https://openalex.org/W6640387984","https://openalex.org/W6660133353","https://openalex.org/W6749538343","https://openalex.org/W6752272000"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"based":[2],"on":[3,225,262],"convolutional":[4,163],"neural":[5],"network":[6,43,60,101,119,140,219],"(CNN)":[7],"has":[8,16,44],"been":[9],"successfully":[10],"applied":[11],"to":[12,80,134,149,206,222,233,258],"stereo":[13,31,41,113],"matching,":[14],"which":[15,50,103,122,203],"achieved":[17],"greater":[18],"improvement":[19],"in":[20,52,69,238],"speed":[21],"and":[22,62,75,109,148,157,176,253,267],"accuracy":[23,111,237,252],"compared":[24,257],"with":[25],"traditional":[26],"methods.":[27],"However,":[28],"existing":[29,40],"CNN-based":[30],"matching":[32,42,55,108,110],"frameworks":[33],"frequently":[34],"encounter":[35],"two":[36,214],"problems.":[37],"First,":[38],"the":[39,83,106,136,139,144,151,160,169,181,185,193,218,226,235,239,255,259],"a":[45,95,116,200],"large":[46],"number":[47,64],"of":[48,65,138,146,172,184,216],"parameters,":[49],"results":[51,244],"too":[53],"long":[54],"running":[56],"time":[57],"since":[58],"excessive":[59,63],"width":[61],"convolution":[66,98],"kernels.":[67],"Second,":[68],"some":[70],"areas":[71],"where":[72,180],"reflection,":[73],"refraction":[74],"fine":[76],"structure":[77],"may":[78],"lead":[79],"ill-posed":[81,240],"problems,":[82],"disparity":[84,236],"estimation":[85],"errors":[86],"can":[87,104,188],"be":[88,189],"occurred.":[89],"In":[90],"this":[91],"paper,":[92],"we":[93,198],"proposed":[94,126,199,248],"lightweight":[96],"network,":[97],"attention":[99,165,174,178],"residual":[100,118],"(CAR-Net),":[102],"balance":[105],"real-time":[107],"for":[112,127,208],"matching.":[114],"Besides,":[115],"multi-scale":[117],"called":[120],"CBAM-ResNeXt,":[121],"combines":[123],"attention,":[124,217],"was":[125],"features":[128,153],"extraction.":[129],"With":[130],"an":[131],"aim":[132],"is":[133,204,220],"simplify":[135],"parameters":[137,194],"model":[141],"by":[142],"reducing":[143],"size":[145],"filters":[147],"extract":[150],"semantic":[152,182],"such":[154],"as":[155,232],"categories":[156],"locations":[158],"from":[159],"image":[161],"through":[162],"block":[164],"module":[166,175],"(CBAM).":[167],"Here,":[168],"CBAM":[170],"consists":[171],"channel":[173],"spatial":[177],"module,":[179],"information":[183],"feature":[186],"map":[187],"fully":[190],"maintained":[191],"after":[192],"were":[195],"simplified.":[196],"Moreover,":[197],"dimension-extended":[201],"3D-CBAM,":[202],"connected":[205],"3DCNN":[207],"cost":[209],"aggregation.":[210],"By":[211],"combining":[212],"these":[213],"sub-modules":[215],"guided":[221],"selectively":[223],"focus":[224],"foreground":[227],"or":[228],"background":[229],"regions,":[230],"so":[231],"improve":[234],"regions.":[241],"The":[242],"experimental":[243],"showed":[245],"that":[246],"our":[247],"method":[249],"generated":[250],"high":[251],"optimized":[254],"velocity":[256],"state-of-the-art":[260],"benchmark":[261],"KITTI":[263,265],"2012,":[264],"2015":[266],"Scene":[268],"Flow.":[269]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
