{"id":"https://openalex.org/W4392901516","doi":"https://doi.org/10.1109/lsp.2024.3378120","title":"Lightweight Dual Stream Network With Knowledge Distillation for RGB-D Scene Parsing","display_name":"Lightweight Dual Stream Network With Knowledge Distillation for RGB-D Scene Parsing","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392901516","doi":"https://doi.org/10.1109/lsp.2024.3378120"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2024.3378120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3378120","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","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":"https://openalex.org/A5100421234","display_name":"Yuming Zhang","orcid":"https://orcid.org/0000-0002-6078-7357"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuming Zhang","raw_affiliation_strings":["School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076872319","display_name":"Wujie Zhou","orcid":"https://orcid.org/0000-0002-3055-2493"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wujie Zhou","raw_affiliation_strings":["School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3055-2493","affiliations":[{"raw_affiliation_string":"School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109703065","display_name":"X. Ran","orcid":null},"institutions":[{"id":"https://openalex.org/I1311643757","display_name":"Commercial Aircraft Corporation of China (China)","ror":"https://ror.org/05gxmms51","country_code":"CN","type":"company","lineage":["https://openalex.org/I1311643757"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxiao Ran","raw_affiliation_strings":["5G Innovation Center, COMAC Shanghai Aircraft Manufacturing Company Ltd., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"5G Innovation Center, COMAC Shanghai Aircraft Manufacturing Company Ltd., Shanghai, China","institution_ids":["https://openalex.org/I1311643757"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073112133","display_name":"Meixin Fang","orcid":"https://orcid.org/0009-0006-1327-4416"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meixin Fang","raw_affiliation_strings":["School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.635,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.8398174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"31","issue":null,"first_page":"855","last_page":"859"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9990000128746033,"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":0.9990000128746033,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9986000061035156,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.7749052047729492},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7025840282440186},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6848665475845337},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6655145883560181},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5749679803848267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5639654994010925},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46439486742019653}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7749052047729492},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7025840282440186},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6848665475845337},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6655145883560181},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5749679803848267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5639654994010925},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46439486742019653},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2024.3378120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3378120","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3591977208","display_name":null,"funder_award_id":"62371422","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1690739335","https://openalex.org/W1821462560","https://openalex.org/W1903029394","https://openalex.org/W1985238052","https://openalex.org/W2122731117","https://openalex.org/W2194775991","https://openalex.org/W2509065397","https://openalex.org/W2587989515","https://openalex.org/W2752782242","https://openalex.org/W2776622059","https://openalex.org/W2913715341","https://openalex.org/W2963896186","https://openalex.org/W2971014764","https://openalex.org/W3008275043","https://openalex.org/W3015871565","https://openalex.org/W3098357269","https://openalex.org/W3106970856","https://openalex.org/W3108288688","https://openalex.org/W3108601100","https://openalex.org/W3124434019","https://openalex.org/W3137799923","https://openalex.org/W3170885821","https://openalex.org/W3177196641","https://openalex.org/W3194841206","https://openalex.org/W3195868619","https://openalex.org/W3207537403","https://openalex.org/W4220849367","https://openalex.org/W4294643314","https://openalex.org/W4311954323","https://openalex.org/W4312431763","https://openalex.org/W4312630041","https://openalex.org/W4316654064","https://openalex.org/W4323893101","https://openalex.org/W4385938250","https://openalex.org/W4388691916","https://openalex.org/W6637551013","https://openalex.org/W6638523607","https://openalex.org/W6797399245","https://openalex.org/W6842607031"],"related_works":["https://openalex.org/W579810227","https://openalex.org/W2142145894","https://openalex.org/W2952780262","https://openalex.org/W2979495269","https://openalex.org/W2392917763","https://openalex.org/W2358855848","https://openalex.org/W2359307945","https://openalex.org/W4388176285","https://openalex.org/W2083429127","https://openalex.org/W2033808215"],"abstract_inverted_index":{"Significant":[0],"progress":[1],"has":[2,30],"been":[3,31],"made":[4],"in":[5,135],"the":[6,21,37,79,87,113,119,124,127,136,147,167],"field":[7],"of":[8,25,34,39,126],"indoor":[9,43,60],"scene":[10,44,61],"parsing.":[11,45,62],"The":[12],"increasing":[13],"demand":[14],"for":[15,42,58,83,144],"lightweight":[16,40,49],"networks":[17,41],"is":[18,109],"due":[19],"to":[20,117,139,155],"limited":[22],"hardware":[23],"capacity":[24],"mobile":[26],"devices.":[27],"However,":[28],"there":[29],"a":[32,66],"lack":[33],"research":[35],"on":[36,166],"design":[38],"Therefore,":[46],"we":[47,64,90,129,150],"propose":[48],"dual":[50],"stream":[51,138],"network":[52,68],"(LDSNet)":[53],"with":[54,69],"knowledge":[55],"distillation":[56],"(KD)":[57],"RGB-D":[59,171],"Initially,":[63],"developed":[65],"two-stream":[67],"three":[70],"versions":[71],"(LDSNet-tiny*,":[72],"LDSNet-small*,":[73],"and":[74,104,158,161,169,183],"LDSNet-base,":[75],"where":[76],"*":[77],"represents":[78],"model":[80],"after":[81],"KD)":[82],"different":[84],"scenarios.":[85],"In":[86],"main":[88],"stream,":[89],"designed":[91],"an":[92,131],"integrated":[93],"joint":[94],"enhancement":[95],"module":[96,116,134],"that":[97,175],"captures":[98],"valuable":[99],"information":[100,108,143],"from":[101],"both":[102],"RGB":[103],"depth":[105],"features.":[106],"This":[107],"then":[110],"processed":[111],"by":[112],"cascading":[114],"integration":[115],"generate":[118],"final":[120],"map.":[121],"To":[122],"improve":[123],"performance":[125],"model,":[128],"included":[130],"auxiliary":[132,137],"extraction":[133],"specifically":[140],"extract":[141],"feature":[142],"KD.":[145],"During":[146],"training":[148],"process,":[149],"used":[151],"hierarchical":[152],"context":[153],"loss":[154],"distill":[156],"features":[157],"obtain":[159],"LDSNet-tiny*":[160,182],"LDSNet-small*.":[162],"We":[163],"conducted":[164],"experiments":[165],"NYUDv2":[168],"SUN":[170],"datasets,":[172],"which":[173],"demonstrated":[174],"our":[176],"LDSNet-base":[177],"achieves":[178],"superior":[179],"results,":[180],"while":[181],"LDSNet-small*":[184],"also":[185],"exhibit":[186],"satisfactory":[187],"performance.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}