{"id":"https://openalex.org/W4312242472","doi":"https://doi.org/10.1109/lsp.2022.3219350","title":"GEBNet: Graph-Enhancement Branch Network for RGB-T Scene Parsing","display_name":"GEBNet: Graph-Enhancement Branch Network for RGB-T Scene Parsing","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312242472","doi":"https://doi.org/10.1109/lsp.2022.3219350"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2022.3219350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3219350","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/A5100630430","display_name":"Shaohua Dong","orcid":"https://orcid.org/0009-0008-2685-6217"},"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":true,"raw_author_name":"Shaohua Dong","raw_affiliation_strings":["School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China"],"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"],"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/A5030910615","display_name":"Xiaohong Qian","orcid":"https://orcid.org/0000-0002-9012-4351"},"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":"Xiaohong Qian","raw_affiliation_strings":["School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China"],"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":"last","author":{"id":"https://openalex.org/A5106403416","display_name":"Lu Yu","orcid":"https://orcid.org/0000-0002-0550-7754"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Yu","raw_affiliation_strings":["College of Information and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100630430"],"corresponding_institution_ids":["https://openalex.org/I168879160"],"apc_list":null,"apc_paid":null,"fwci":1.4294,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.8312991,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"29","issue":null,"first_page":"2273","last_page":"2277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9933000206947327,"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":0.8263126611709595},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.683569073677063},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6775487661361694},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6069362759590149},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5572039484977722},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5270776152610779},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4442737400531769},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3670065999031067},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30480074882507324}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8263126611709595},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.683569073677063},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6775487661361694},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6069362759590149},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5572039484977722},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5270776152610779},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4442737400531769},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3670065999031067},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30480074882507324},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2022.3219350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3219350","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/G6189259675","display_name":null,"funder_award_id":"61502429","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8748308789","display_name":null,"funder_award_id":"62071427","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":37,"referenced_works":["https://openalex.org/W2557406251","https://openalex.org/W2587989515","https://openalex.org/W2774839435","https://openalex.org/W2783628520","https://openalex.org/W2799166040","https://openalex.org/W2886934227","https://openalex.org/W2921749009","https://openalex.org/W2940262938","https://openalex.org/W2963896186","https://openalex.org/W2964015378","https://openalex.org/W2965391153","https://openalex.org/W2971014764","https://openalex.org/W2981689412","https://openalex.org/W2997355859","https://openalex.org/W3033020497","https://openalex.org/W3035499612","https://openalex.org/W3080081801","https://openalex.org/W3088365851","https://openalex.org/W3091001089","https://openalex.org/W3159018159","https://openalex.org/W3163132162","https://openalex.org/W3166016280","https://openalex.org/W3170885821","https://openalex.org/W3193498964","https://openalex.org/W3198062544","https://openalex.org/W4200613742","https://openalex.org/W4200635035","https://openalex.org/W4220849367","https://openalex.org/W4224944713","https://openalex.org/W4225487034","https://openalex.org/W4226216909","https://openalex.org/W4285205872","https://openalex.org/W4307297655","https://openalex.org/W4312443924","https://openalex.org/W6726873649","https://openalex.org/W6733387591","https://openalex.org/W6761630670"],"related_works":["https://openalex.org/W2912737833","https://openalex.org/W2379164728","https://openalex.org/W2036406712","https://openalex.org/W4312957139","https://openalex.org/W3047647477","https://openalex.org/W2381670958","https://openalex.org/W2539873882","https://openalex.org/W3109987288","https://openalex.org/W290554818","https://openalex.org/W4312242472"],"abstract_inverted_index":{"RGB-T":[0,17],"(red\u2013green\u2013blue":[1],"and":[2,71,81,117,127,138],"thermal)":[3],"scene":[4,18],"parsing":[5,147],"has":[6],"recently":[7],"drawn":[8],"considerable":[9],"research":[10],"attention.":[11],"Although":[12],"existing":[13],"methods":[14,30],"efficiently":[15],"conduct":[16],"parsing,":[19],"their":[20],"performance":[21,133],"remains":[22],"limited":[23],"by":[24,36,67,86],"a":[25,47,62,100],"small":[26],"receptive":[27],"field.":[28],"Unlike":[29],"that":[31],"capture":[32,94],"the":[33,58,68,76,87,95,105,125,131,135,139,146],"global":[34,96,110],"context":[35],"fusing":[37],"multiscale":[38],"features":[39],"or":[40],"using":[41],"an":[42],"attention":[43],"mechanism,":[44],"we":[45,98],"propose":[46],"graph-enhancement":[48,77,102],"branch":[49,59,78,107],"network":[50,106],"(GEBNet),":[51],"which":[52],"uses":[53],"long-range":[54],"dependencies":[55],"obtained":[56],"from":[57,112,121],"to":[60,93,108,145],"refine":[61],"coarse":[63],"semantic":[64,115],"map":[65],"generated":[66],"decoder.":[69],"Semantic":[70],"detail":[72],"modules":[73],"embedded":[74],"in":[75],"fuse":[79],"high-":[80],"low-level":[82,118],"features.":[83],"Furthermore,":[84],"inspired":[85],"ability":[88],"of":[89,134,141],"graph":[90],"neural":[91],"networks":[92],"context,":[97],"integrate":[99],"novel":[101],"module":[103],"into":[104],"obtain":[109],"information":[111,116],"both":[113],"high-level":[114],"details.":[119],"Results":[120],"extensive":[122],"experiments":[123],"on":[124],"MFNet":[126],"PST900":[128],"datasets":[129],"demonstrate":[130],"high":[132],"proposed":[136],"GEBNet":[137],"contributions":[140],"its":[142],"main":[143],"components":[144],"performance.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}