{"id":"https://openalex.org/W4308068570","doi":"https://doi.org/10.1109/itsc55140.2022.9922562","title":"Efficient Backbone Architecture Search for Stereo Depth Estimation in Autonomous Driving","display_name":"Efficient Backbone Architecture Search for Stereo Depth Estimation in Autonomous Driving","publication_year":2022,"publication_date":"2022-10-08","ids":{"openalex":"https://openalex.org/W4308068570","doi":"https://doi.org/10.1109/itsc55140.2022.9922562"},"language":"en","primary_location":{"id":"doi:10.1109/itsc55140.2022.9922562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9922562","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","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/A5044561987","display_name":"Xuchong Zhang","orcid":"https://orcid.org/0000-0003-2772-2700"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuchong Zhang","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University,Xi'an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102816801","display_name":"H. Y. Dai","orcid":"https://orcid.org/0000-0002-1162-2871"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Dai","raw_affiliation_strings":["School of Microelectronics, Xi'an Jiaotong University,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Xi'an Jiaotong University,Xi'an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613504","display_name":"Jianing Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianing Chen","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University,Xi'an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100706029","display_name":"Hongbin Sun","orcid":"https://orcid.org/0000-0003-2153-2906"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbin Sun","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University,Xi'an,China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University,Xi'an,China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044561987"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10109796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"355","last_page":"362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9918000102043152,"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":0.9840999841690063,"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":0.7930908203125},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.7312820553779602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6957407593727112},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.682766854763031},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5735220909118652},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.5710365176200867},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4946713149547577},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.461341917514801},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.421872079372406},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4118438959121704},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4071149230003357},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3715618848800659},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08580726385116577}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7930908203125},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.7312820553779602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6957407593727112},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.682766854763031},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5735220909118652},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.5710365176200867},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4946713149547577},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.461341917514801},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.421872079372406},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4118438959121704},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4071149230003357},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3715618848800659},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08580726385116577},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc55140.2022.9922562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9922562","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G6514110293","display_name":null,"funder_award_id":"2020M673402","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8460415403","display_name":null,"funder_award_id":"62004157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1772650917","https://openalex.org/W1967562782","https://openalex.org/W1986940113","https://openalex.org/W2025806913","https://openalex.org/W2079966315","https://openalex.org/W2117248802","https://openalex.org/W2259424905","https://openalex.org/W2307770531","https://openalex.org/W2553303224","https://openalex.org/W2560023338","https://openalex.org/W2604231069","https://openalex.org/W2738441955","https://openalex.org/W2885311373","https://openalex.org/W2951104886","https://openalex.org/W2952813711","https://openalex.org/W2963136578","https://openalex.org/W2963548592","https://openalex.org/W2963617879","https://openalex.org/W2963619659","https://openalex.org/W2963778169","https://openalex.org/W2963821229","https://openalex.org/W2964242696","https://openalex.org/W2978535238","https://openalex.org/W2980467688","https://openalex.org/W3004166074","https://openalex.org/W3093769466","https://openalex.org/W3172955525","https://openalex.org/W3185123971","https://openalex.org/W3189866436","https://openalex.org/W3203580723","https://openalex.org/W4226265017","https://openalex.org/W4255158661","https://openalex.org/W6729956949","https://openalex.org/W6743759585","https://openalex.org/W6745614327","https://openalex.org/W6752515464","https://openalex.org/W6753278433","https://openalex.org/W6754969897","https://openalex.org/W6784085021","https://openalex.org/W6799705171"],"related_works":["https://openalex.org/W2136896745","https://openalex.org/W4377082553","https://openalex.org/W2943032500","https://openalex.org/W3212842268","https://openalex.org/W2359750582","https://openalex.org/W2142914351","https://openalex.org/W2740183276","https://openalex.org/W3027142864","https://openalex.org/W2168885523","https://openalex.org/W2018818397"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,121],"AutoML":[3],"have":[4],"extended":[5],"Neural":[6],"Architecture":[7],"Search":[8],"(NAS)":[9],"beyond":[10],"image":[11],"classification":[12],"to":[13,24,42,76,165],"optimize":[14],"dense":[15],"prediction":[16],"tasks.":[17],"However,":[18],"the":[19,43,47,66,71,74,113,118,125,134,147,157,167],"existing":[20,137],"works":[21],"are":[22,38],"inappropriate":[23],"search":[25,36,57,77],"efficient":[26,60,163],"backbone":[27,120],"for":[28,59,85],"deep":[29],"learning":[30],"based":[31],"stereo":[32,61,86,106,149,168],"matching,":[33],"because":[34],"their":[35],"spaces":[37],"not":[39],"custom-designed":[40],"according":[41],"inherent":[44],"requirements":[45],"of":[46],"pixel-wise":[48],"depth":[49],"prediction.":[50],"This":[51],"paper":[52],"proposes":[53],"a":[54,122],"differentiable":[55],"architecture":[56,91,170],"specific":[58],"network":[62,87,127,169],"backbone.":[63,88],"In":[64],"particular,":[65],"proposed":[67,126,158],"method":[68,160],"jointly":[69],"optimizes":[70],"micro-architecture":[72],"and":[73,81,140],"macro-architecture":[75],"distinct":[78],"cell":[79],"structures":[80],"adaptive":[82],"low-level":[83],"features":[84],"The":[89,102],"target":[90],"can":[92],"be":[93],"found":[94],"within":[95],"3":[96],"GPU":[97],"days":[98],"using":[99,136],"gradient-based":[100],"optimization.":[101],"evaluation":[103],"results":[104],"on":[105],"datasets":[107],"demonstrate":[108],"that,":[109],"by":[110],"simply":[111],"replacing":[112],"hand-crafted":[114],"feature":[115],"extraction":[116],"with":[117,146],"searched":[119],"vanilla":[123],"framework,":[124],"obtains":[128],"much":[129],"better":[130],"disparity":[131],"accuracy":[132],"than":[133],"designs":[135],"NAS":[138,159],"methods,":[139],"even":[141],"achieves":[142],"comparable":[143],"performance":[144],"compared":[145],"state-of-the-art":[148],"networks":[150],"that":[151],"integrate":[152],"various":[153],"elaborate":[154],"modules.":[155],"Hence,":[156],"is":[161],"an":[162],"way":[164],"automate":[166],"engineering.":[171]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}