{"id":"https://openalex.org/W4312711040","doi":"https://doi.org/10.1109/iros47612.2022.9981343","title":"J-RR: Joint Monocular Depth Estimation and Semantic Edge Detection Exploiting Reciprocal Relations","display_name":"J-RR: Joint Monocular Depth Estimation and Semantic Edge Detection Exploiting Reciprocal Relations","publication_year":2022,"publication_date":"2022-10-23","ids":{"openalex":"https://openalex.org/W4312711040","doi":"https://doi.org/10.1109/iros47612.2022.9981343"},"language":"en","primary_location":{"id":"doi:10.1109/iros47612.2022.9981343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros47612.2022.9981343","pdf_url":null,"source":{"id":"https://openalex.org/S4363607704","display_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5111859834","display_name":"Deming Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]},{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]},{"id":"https://openalex.org/I4210107198","display_name":"State Key Laboratory of Transducer Technology","ror":"https://ror.org/01qg56n75","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366","https://openalex.org/I19820366","https://openalex.org/I4210107198","https://openalex.org/I4210110458","https://openalex.org/I4210147322"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Deming Wu","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University,Shanghai,China,201210","University of Chinese Academy and Sciences, Beijing, China","Bionic Vision System Laboratory, State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University,Shanghai,China,201210","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"University of Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Bionic Vision System Laboratory, State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210107198","https://openalex.org/I4210147322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078385469","display_name":"Dongchen Zhu","orcid":"https://orcid.org/0000-0002-1579-3942"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210107198","display_name":"State Key Laboratory of Transducer Technology","ror":"https://ror.org/01qg56n75","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366","https://openalex.org/I19820366","https://openalex.org/I4210107198","https://openalex.org/I4210110458","https://openalex.org/I4210147322"]},{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongchen Zhu","raw_affiliation_strings":["Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences,Bionic Vision System Laboratory, State Key Laboratory of Transducer Technology,Shanghai,China,200050","University of Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences,Bionic Vision System Laboratory, State Key Laboratory of Transducer Technology,Shanghai,China,200050","institution_ids":["https://openalex.org/I4210107198","https://openalex.org/I4210147322"]},{"raw_affiliation_string":"University of Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459828","display_name":"Guanghui Zhang","orcid":"https://orcid.org/0000-0003-0432-7329"},"institutions":[{"id":"https://openalex.org/I4210107198","display_name":"State Key Laboratory of Transducer Technology","ror":"https://ror.org/01qg56n75","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366","https://openalex.org/I19820366","https://openalex.org/I4210107198","https://openalex.org/I4210110458","https://openalex.org/I4210147322"]},{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghui Zhang","raw_affiliation_strings":["Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences,Bionic Vision System Laboratory, State Key Laboratory of Transducer Technology,Shanghai,China,200050"],"affiliations":[{"raw_affiliation_string":"Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences,Bionic Vision System Laboratory, State Key Laboratory of Transducer Technology,Shanghai,China,200050","institution_ids":["https://openalex.org/I4210107198","https://openalex.org/I4210147322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027543595","display_name":"Wenjun Shi","orcid":"https://orcid.org/0000-0002-9826-8034"},"institutions":[{"id":"https://openalex.org/I4210107198","display_name":"State Key Laboratory of Transducer Technology","ror":"https://ror.org/01qg56n75","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366","https://openalex.org/I19820366","https://openalex.org/I4210107198","https://openalex.org/I4210110458","https://openalex.org/I4210147322"]},{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Shi","raw_affiliation_strings":["Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences,Bionic Vision System Laboratory, State Key Laboratory of Transducer Technology,Shanghai,China,200050"],"affiliations":[{"raw_affiliation_string":"Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences,Bionic Vision System Laboratory, State Key Laboratory of Transducer Technology,Shanghai,China,200050","institution_ids":["https://openalex.org/I4210107198","https://openalex.org/I4210147322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403837","display_name":"Xiaolin Zhang","orcid":"https://orcid.org/0000-0003-3307-9838"},"institutions":[{"id":"https://openalex.org/I4210107198","display_name":"State Key Laboratory of Transducer Technology","ror":"https://ror.org/01qg56n75","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366","https://openalex.org/I19820366","https://openalex.org/I4210107198","https://openalex.org/I4210110458","https://openalex.org/I4210147322"]},{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]},{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Zhang","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University,Shanghai,China,201210","Xiongan Institute of Innovation, Xiongan, China","University of Chinese Academy and Sciences, Beijing, China","University of Science and Technology of China, Hefei, Anhui, China","Bionic Vision System Laboratory, State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University,Shanghai,China,201210","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"Xiongan Institute of Innovation, Xiongan, China","institution_ids":[]},{"raw_affiliation_string":"University of Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Bionic Vision System Laboratory, State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210107198","https://openalex.org/I4210147322"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035418350","display_name":"Jiamao Li","orcid":"https://orcid.org/0000-0002-7478-4544"},"institutions":[{"id":"https://openalex.org/I4210107198","display_name":"State Key Laboratory of Transducer Technology","ror":"https://ror.org/01qg56n75","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366","https://openalex.org/I19820366","https://openalex.org/I4210107198","https://openalex.org/I4210110458","https://openalex.org/I4210147322"]},{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiamao Li","raw_affiliation_strings":["Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences,Bionic Vision System Laboratory, State Key Laboratory of Transducer Technology,Shanghai,China,200050","Xiongan Institute of Innovation, Xiongan, China","University of Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences,Bionic Vision System Laboratory, State Key Laboratory of Transducer Technology,Shanghai,China,200050","institution_ids":["https://openalex.org/I4210107198","https://openalex.org/I4210147322"]},{"raw_affiliation_string":"Xiongan Institute of Innovation, Xiongan, China","institution_ids":[]},{"raw_affiliation_string":"University of Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5111859834"],"corresponding_institution_ids":["https://openalex.org/I30809798","https://openalex.org/I4210107198","https://openalex.org/I4210147322","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.2408,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59945815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"715","last_page":"722"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9976999759674072,"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/computer-science","display_name":"Computer science","score":0.7967462539672852},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.7462081909179688},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.6020867228507996},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5928781628608704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5828372836112976},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5617710947990417},{"id":"https://openalex.org/keywords/depth-perception","display_name":"Depth perception","score":0.4383805990219116},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.41478264331817627},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41285330057144165},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2979474663734436},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.2942405343055725},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.14092332124710083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7967462539672852},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.7462081909179688},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.6020867228507996},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5928781628608704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5828372836112976},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5617710947990417},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.4383805990219116},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.41478264331817627},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41285330057144165},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2979474663734436},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.2942405343055725},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.14092332124710083},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros47612.2022.9981343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros47612.2022.9981343","pdf_url":null,"source":{"id":"https://openalex.org/S4363607704","display_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G3967396710","display_name":null,"funder_award_id":"2021233","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G5621134313","display_name":null,"funder_award_id":"61873255","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1484177357","https://openalex.org/W1903029394","https://openalex.org/W2026203852","https://openalex.org/W2133665775","https://openalex.org/W2144267444","https://openalex.org/W2144794286","https://openalex.org/W2145023731","https://openalex.org/W2165114467","https://openalex.org/W2194775991","https://openalex.org/W2300779272","https://openalex.org/W2340897893","https://openalex.org/W2520707372","https://openalex.org/W2609883120","https://openalex.org/W2885139206","https://openalex.org/W2899771611","https://openalex.org/W2934279571","https://openalex.org/W2951234442","https://openalex.org/W2953804911","https://openalex.org/W2963307106","https://openalex.org/W2963652981","https://openalex.org/W2964968086","https://openalex.org/W2966401131","https://openalex.org/W2969365860","https://openalex.org/W2982102242","https://openalex.org/W2982631194","https://openalex.org/W2985775862","https://openalex.org/W3004166074","https://openalex.org/W3034953156","https://openalex.org/W3035433720","https://openalex.org/W3097932847","https://openalex.org/W3118453581","https://openalex.org/W3129975431","https://openalex.org/W3170748769","https://openalex.org/W3175682855","https://openalex.org/W4287863801","https://openalex.org/W4320477867","https://openalex.org/W6685261749","https://openalex.org/W6771531989","https://openalex.org/W6785345353"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911","https://openalex.org/W4372260270"],"abstract_inverted_index":{"Depth":[0,103],"estimation":[1,95,150],"and":[2,26],"semantic":[3,28,61,98,119,157],"edge":[4,29,62,87,99,158],"detection":[5,63,100],"are":[6],"two":[7,47],"key":[8],"tasks":[9,48],"in":[10,89,148,156],"computer":[11],"vision,":[12],"which":[13,73],"have":[14],"made":[15],"great":[16],"progress.":[17],"To":[18],"date,":[19],"how":[20],"to":[21,85,124],"associatively":[22],"predict":[23],"the":[24,27,46,60,78,126,129,137,145],"depth":[25,81,83,94,133,149],"is":[30,71,115],"rarely":[31],"explored.":[32],"In":[33],"this":[34],"work,":[35],"we":[36,92],"first":[37],"propose":[38],"a":[39,55,110,153],"flexible":[40],"two-branch":[41],"framework":[42,143],"that":[43,141],"can":[44],"make":[45,93],"take":[49],"advantage":[50],"of":[51,80,128],"each":[52],"other,":[53],"achieving":[54],"win-win":[56],"situation.":[57],"Specifically,":[58],"for":[59,132],"branch,":[64,82],"an":[65],"Enhanced":[66],"Edge":[67,104],"Weighting":[68],"strategy":[69],"(EEW)":[70],"designed,":[72],"learns":[74],"weight":[75],"information":[76],"from":[77,97],"by-product":[79],"edge,":[84],"enhance":[86],"perception":[88],"features.":[90],"Meanwhile,":[91],"benefit":[96],"through":[101],"introducing":[102],"Semantic":[105],"Classification":[106],"module":[107],"(DESC).":[108],"Furthermore,":[109],"double":[111],"reconstruction":[112],"(D-reconstruction)":[113],"approach":[114],"presented,":[116],"together":[117],"with":[118,152],"edge-guided":[120],"disparity":[121],"smoothing":[122],"loss":[123],"mitigate":[125],"ambiguities":[127],"self-supervised":[130],"manner":[131],"estimation.":[134],"Experiments":[135],"on":[136],"Cityscapes":[138],"dataset":[139],"demonstrate":[140],"our":[142],"outperforms":[144],"state-of-the-art":[146],"method":[147],"along":[151],"significant":[154],"improvement":[155],"detection.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
