{"id":"https://openalex.org/W4389925493","doi":"https://doi.org/10.1109/sibgrapi59091.2023.10347167","title":"Soybean Weeds Segmentation Using VT-Net: A Convolutional-Transformer Model","display_name":"Soybean Weeds Segmentation Using VT-Net: A Convolutional-Transformer Model","publication_year":2023,"publication_date":"2023-11-06","ids":{"openalex":"https://openalex.org/W4389925493","doi":"https://doi.org/10.1109/sibgrapi59091.2023.10347167"},"language":"en","primary_location":{"id":"doi:10.1109/sibgrapi59091.2023.10347167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi59091.2023.10347167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 36th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","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/A5100679257","display_name":"Lucas F. M. da Silva","orcid":"https://orcid.org/0000-0003-3272-4591"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Lucas Silva","raw_affiliation_strings":["Center for Computational Science (C3), Federal University of Rio Grande (FURG),Rio Grande,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Computational Science (C3), Federal University of Rio Grande (FURG),Rio Grande,Brazil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037041582","display_name":"Paulo Drews","orcid":"https://orcid.org/0000-0002-7519-0502"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Paulo Drews","raw_affiliation_strings":["Center for Computational Science (C3), Federal University of Rio Grande (FURG),Rio Grande,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Computational Science (C3), Federal University of Rio Grande (FURG),Rio Grande,Brazil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075932583","display_name":"Rodrigo de","orcid":"https://orcid.org/0000-0002-4860-0115"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rodrigo de Bem","raw_affiliation_strings":["Center for Computational Science (C3), Federal University of Rio Grande (FURG),Rio Grande,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Computational Science (C3), Federal University of Rio Grande (FURG),Rio Grande,Brazil","institution_ids":["https://openalex.org/I126460647"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8319,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88055025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"127","last_page":"132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9704999923706055,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9524000287055969,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.5781362652778625},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5551010370254517},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.445341557264328},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43147119879722595},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12647846341133118},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1040445864200592},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.09120592474937439}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5781362652778625},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5551010370254517},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.445341557264328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43147119879722595},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12647846341133118},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1040445864200592},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.09120592474937439}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sibgrapi59091.2023.10347167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi59091.2023.10347167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 36th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G3150361257","display_name":null,"funder_award_id":"ARD-21/2551-0000678-1","funder_id":"https://openalex.org/F4320322502","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado do Rio Grande do Sul"}],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320322502","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado do Rio Grande do Sul","ror":"https://ror.org/05k49za97"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1987556769","https://openalex.org/W2073318004","https://openalex.org/W2194775991","https://openalex.org/W2502291980","https://openalex.org/W2767767563","https://openalex.org/W2772014193","https://openalex.org/W2896457183","https://openalex.org/W2907556993","https://openalex.org/W2962953743","https://openalex.org/W2981413347","https://openalex.org/W3010329196","https://openalex.org/W3010585858","https://openalex.org/W3034885317","https://openalex.org/W3096609285","https://openalex.org/W3153666030","https://openalex.org/W3165291265","https://openalex.org/W3170863103","https://openalex.org/W3211490618","https://openalex.org/W4200606719","https://openalex.org/W4214493665","https://openalex.org/W4214893857","https://openalex.org/W4298395628","https://openalex.org/W4312186383","https://openalex.org/W4312560592","https://openalex.org/W4312815172","https://openalex.org/W4385245566","https://openalex.org/W6755207826","https://openalex.org/W6763367864","https://openalex.org/W6763509872","https://openalex.org/W6796761347"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"The":[0],"use":[1,144],"of":[2,40,47,92,125,135,157],"machine":[3],"learning":[4],"and":[5,25,66,113],"computer":[6],"vision":[7,67],"in":[8,16,27,51,97],"areas":[9],"related":[10],"to":[11,120,143],"agriculture":[12],"has":[13],"grown":[14],"significantly":[15],"the":[17,33,38,45,82,90,98,123,130,133,141,155],"last":[18],"few":[19],"years,":[20],"allowing":[21],"for":[22,44,154],"higher":[23],"precision":[24],"efficiency":[26],"several":[28],"processes.":[29],"In":[30],"this":[31,138],"context,":[32],"present":[34],"work":[35,139],"aims":[36],"at":[37],"development":[39],"a":[41,56,70,75,145,150],"neural":[42,63,71],"network":[43,72],"segmentation":[46,87,108,156],"images":[48],"containing":[49],"weeds":[50],"soybean":[52,158],"cultivation.":[53],"We":[54,100],"developed":[55],"new":[57],"hybrid":[58,103,146],"model":[59,104],"based":[60],"on":[61],"convolutional":[62,147],"networks":[64],"(CNNs)":[65],"transformers":[68],"(ViT),":[69],"that":[73],"uses":[74],"self-attention":[76],"mechanism.":[77],"Importantly,":[78],"we":[79],"also":[80],"extended":[81],"well-known":[83],"DeepWeeds":[84],"dataset":[85],"with":[86,105,122,149],"labels,":[88],"mitigating":[89],"lack":[91],"publicly":[93],"available":[94],"training":[95],"data":[96],"literature.":[99],"compare":[101],"our":[102,136],"state-of-the-art":[106],"Transformer":[107],"networks,":[109],"such":[110],"as":[111],"BEiT":[112],"Mask2Former.":[114],"Our":[115],"approach":[116],"obtains":[117],"results":[118],"equivalent":[119],"them":[121],"advantage":[124],"employing":[126],"fewer":[127],"layers":[128],"than":[129],"competitors.":[131],"To":[132],"best":[134],"knowledge,":[137],"is":[140],"first":[142],"model,":[148],"pure":[151],"ViT":[152],"backbone":[153],"weeds.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
