{"id":"https://openalex.org/W4391791419","doi":"https://doi.org/10.1109/tnnls.2024.3358858","title":"EM-Trans: Edge-Aware Multimodal Transformer for RGB-D Salient Object Detection","display_name":"EM-Trans: Edge-Aware Multimodal Transformer for RGB-D Salient Object Detection","publication_year":2024,"publication_date":"2024-02-13","ids":{"openalex":"https://openalex.org/W4391791419","doi":"https://doi.org/10.1109/tnnls.2024.3358858","pmid":"https://pubmed.ncbi.nlm.nih.gov/38356213"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3358858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3358858","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100765638","display_name":"Geng Chen","orcid":"https://orcid.org/0000-0001-8350-6581"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Geng Chen","raw_affiliation_strings":["National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108840947","display_name":"Qingyue Wang","orcid":"https://orcid.org/0009-0004-6131-5169"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyue Wang","raw_affiliation_strings":["National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059740579","display_name":"Bo Dong","orcid":"https://orcid.org/0000-0002-6456-5452"},"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":"Bo Dong","raw_affiliation_strings":["Center for Brain Imaging Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Center for Brain Imaging Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007046399","display_name":"Ruitao Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruitao Ma","raw_affiliation_strings":["National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377352","display_name":"Nian Liu","orcid":"https://orcid.org/0000-0002-0825-6081"},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Nian Liu","raw_affiliation_strings":["Computer Vision Department, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"Computer Vision Department, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010970485","display_name":"Huazhu Fu","orcid":"https://orcid.org/0000-0002-9702-5524"},"institutions":[{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Huazhu Fu","raw_affiliation_strings":["Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Fusionopolis, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Fusionopolis, Singapore","institution_ids":["https://openalex.org/I3004594783","https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100670074","display_name":"Yong Xia","orcid":"https://orcid.org/0000-0001-9273-2847"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xia","raw_affiliation_strings":["National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100765638"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":8.7968,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.98527289,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"36","issue":"2","first_page":"3175","last_page":"3188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9731000065803528,"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/rgb-color-model","display_name":"RGB color model","score":0.7991796731948853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7001355290412903},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.627486526966095},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5279385447502136},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5024645328521729},{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.5012238025665283},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44190821051597595},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4396376311779022},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4299180507659912},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.366000235080719},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13362666964530945}],"concepts":[{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7991796731948853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7001355290412903},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.627486526966095},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5279385447502136},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5024645328521729},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.5012238025665283},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44190821051597595},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4396376311779022},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4299180507659912},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.366000235080719},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13362666964530945},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3358858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3358858","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:38356213","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38356213","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7973357982","display_name":null,"funder_award_id":"62201465","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G984875820","display_name":null,"funder_award_id":"62171377","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":122,"referenced_works":["https://openalex.org/W20683899","https://openalex.org/W1497443722","https://openalex.org/W1522301498","https://openalex.org/W1938386764","https://openalex.org/W1976409045","https://openalex.org/W1982075130","https://openalex.org/W1993713494","https://openalex.org/W2100470808","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2337762808","https://openalex.org/W2343734370","https://openalex.org/W2514453564","https://openalex.org/W2585592883","https://openalex.org/W2620958690","https://openalex.org/W2765838470","https://openalex.org/W2766315367","https://openalex.org/W2767775878","https://openalex.org/W2798857366","https://openalex.org/W2805395174","https://openalex.org/W2887486131","https://openalex.org/W2887522866","https://openalex.org/W2895251968","https://openalex.org/W2907643346","https://openalex.org/W2909381593","https://openalex.org/W2939217524","https://openalex.org/W2948300571","https://openalex.org/W2948510860","https://openalex.org/W2957414648","https://openalex.org/W2961348656","https://openalex.org/W2962741298","https://openalex.org/W2963032190","https://openalex.org/W2963112696","https://openalex.org/W2963312801","https://openalex.org/W2963529609","https://openalex.org/W2963604034","https://openalex.org/W2963868681","https://openalex.org/W2987701848","https://openalex.org/W2990984982","https://openalex.org/W2998449272","https://openalex.org/W3002301267","https://openalex.org/W3006465601","https://openalex.org/W3006871679","https://openalex.org/W3010616503","https://openalex.org/W3031085842","https://openalex.org/W3031719679","https://openalex.org/W3034185160","https://openalex.org/W3034320133","https://openalex.org/W3035284915","https://openalex.org/W3035357085","https://openalex.org/W3035633116","https://openalex.org/W3035687312","https://openalex.org/W3037018327","https://openalex.org/W3039479109","https://openalex.org/W3080848135","https://openalex.org/W3083388823","https://openalex.org/W3094802760","https://openalex.org/W3096609285","https://openalex.org/W3096966254","https://openalex.org/W3097053213","https://openalex.org/W3104196124","https://openalex.org/W3107113572","https://openalex.org/W3108421143","https://openalex.org/W3108608656","https://openalex.org/W3108812909","https://openalex.org/W3111278072","https://openalex.org/W3114152269","https://openalex.org/W3118710621","https://openalex.org/W3120780185","https://openalex.org/W3121523901","https://openalex.org/W3125478936","https://openalex.org/W3131500599","https://openalex.org/W3136792391","https://openalex.org/W3151956566","https://openalex.org/W3159018159","https://openalex.org/W3164802490","https://openalex.org/W3166092877","https://openalex.org/W3168649818","https://openalex.org/W3170173308","https://openalex.org/W3171757599","https://openalex.org/W3177040887","https://openalex.org/W3188963955","https://openalex.org/W3207668590","https://openalex.org/W3207804100","https://openalex.org/W3212645988","https://openalex.org/W3214007456","https://openalex.org/W3216564402","https://openalex.org/W4206715824","https://openalex.org/W4206982465","https://openalex.org/W4214561053","https://openalex.org/W4214696292","https://openalex.org/W4220947405","https://openalex.org/W4224111766","https://openalex.org/W4226376089","https://openalex.org/W4240177607","https://openalex.org/W4282913899","https://openalex.org/W4285244413","https://openalex.org/W4289752563","https://openalex.org/W4293731746","https://openalex.org/W4295424676","https://openalex.org/W4295528401","https://openalex.org/W4308365129","https://openalex.org/W4309694881","https://openalex.org/W4312612915","https://openalex.org/W4313186439","https://openalex.org/W4322741887","https://openalex.org/W4323647383","https://openalex.org/W4362722807","https://openalex.org/W4367663481","https://openalex.org/W4376456811","https://openalex.org/W4376872192","https://openalex.org/W4385245566","https://openalex.org/W4387747474","https://openalex.org/W6631190155","https://openalex.org/W6684665197","https://openalex.org/W6739901393","https://openalex.org/W6752606552","https://openalex.org/W6777796622","https://openalex.org/W6788135285","https://openalex.org/W6794016440","https://openalex.org/W6797533734","https://openalex.org/W6810549161"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W1527041535","https://openalex.org/W2521519254","https://openalex.org/W4321353415","https://openalex.org/W3139833644","https://openalex.org/W2745001401","https://openalex.org/W2329500892","https://openalex.org/W3123110765","https://openalex.org/W2130974462","https://openalex.org/W4383553409"],"abstract_inverted_index":{"RGB-D":[0,52,173,197],"salient":[1],"object":[2],"detection":[3],"(SOD)":[4],"has":[5,15],"gained":[6],"tremendous":[7],"attention":[8],"in":[9,63,223],"recent":[10],"years.":[11],"In":[12],"particular,":[13],"transformer":[14,24],"been":[16],"employed":[17],"and":[18,80,87,135,157,181,208],"shown":[19],"great":[20],"potential.":[21],"However,":[22],"existing":[23,179],"models":[25,59],"usually":[26],"overlook":[27],"the":[28,38,60,77,85,108,113,132,137,141,168,176,184,202,217],"vital":[29],"edge":[30,61,79,156,169],"information,":[31],"which":[32,57,153],"is":[33,194],"a":[34,49,64,92,101],"major":[35],"issue":[36],"restricting":[37],"further":[39,211],"improvement":[40],"of":[41,178,220,226],"SOD":[42,53,198,215,228],"accuracy.":[43],"To":[44],"this":[45],"end,":[46],"we":[47,69,99],"propose":[48,100],"novel":[50],"edge-aware":[51],"transformer,":[54],"called":[55],"EM-Trans,":[56],"explicitly":[58,166],"information":[62,170],"dual-band":[65],"decomposition":[66],"framework.":[67],"Specifically,":[68],"employ":[70],"two":[71],"parallel":[72],"decoder":[73],"networks":[74],"to":[75,106,213],"learn":[76],"high-frequency":[78],"low-frequency":[81],"body":[82,158],"features":[83,89,110,119,143,159],"from":[84,91],"low-":[86],"high-level":[88],"extracted":[90],"two-steam":[93],"multimodal":[94,114,138,227],"backbone":[95],"network,":[96],"respectively.":[97],"Next,":[98],"cross-attention":[102],"complementarity":[103,115],"exploration":[104],"module":[105,129],"enrich":[107],"edge/body":[109],"by":[111],"exploiting":[112],"information.":[116],"The":[117],"refined":[118],"are":[120,144],"then":[121],"fed":[122],"into":[123],"our":[124,147,221],"proposed":[125],"color-hint":[126],"guided":[127],"fusion":[128,151],"for":[130,160,171],"enhancing":[131],"depth":[133],"feature":[134],"fusing":[136],"features.":[139],"Finally,":[140],"resulting":[142],"fused":[145],"using":[146],"deeply":[148],"supervised":[149],"progressive":[150],"module,":[152],"progressively":[154],"integrates":[155],"predicting":[161],"saliency":[162],"maps.":[163],"Our":[164],"model":[165,222],"considers":[167],"accurate":[172],"SOD,":[174],"overcoming":[175],"limitations":[177],"methods":[180],"effectively":[182],"improving":[183],"performance.":[185],"Extensive":[186],"experiments":[187],"on":[188],"benchmark":[189],"datasets":[190],"demonstrate":[191],"that":[192,200],"EM-Trans":[193],"an":[195],"effective":[196],"framework":[199],"outperforms":[201],"current":[203],"state-of-the-art":[204],"models,":[205],"both":[206],"quantitatively":[207],"qualitatively.":[209],"A":[210],"extension":[212],"RGB-T":[214],"demonstrates":[216],"promising":[218],"potential":[219],"various":[224],"kinds":[225],"tasks.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":8}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2025-10-10T00:00:00"}