{"id":"https://openalex.org/W4312623229","doi":"https://doi.org/10.1109/sibgrapi55357.2022.9991760","title":"No boundary left behind in semantic segmentation","display_name":"No boundary left behind in semantic segmentation","publication_year":2022,"publication_date":"2022-10-24","ids":{"openalex":"https://openalex.org/W4312623229","doi":"https://doi.org/10.1109/sibgrapi55357.2022.9991760"},"language":"en","primary_location":{"id":"doi:10.1109/sibgrapi55357.2022.9991760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi55357.2022.9991760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 35th 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/A5000958393","display_name":"Jefferson Fontinele Da Silva","orcid":null},"institutions":[{"id":"https://openalex.org/I47327664","display_name":"Universidade Federal do Maranh\u00e3o","ror":"https://ror.org/043fhe951","country_code":"BR","type":"education","lineage":["https://openalex.org/I47327664"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Jefferson Fontinele Da Silva","raw_affiliation_strings":["Universidade Federal do Maranh&#x00E3;o, Campus Balsas,Balsas,Maranh\u00e3o,Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal do Maranh&#x00E3;o, Campus Balsas,Balsas,Maranh\u00e3o,Brazil","institution_ids":["https://openalex.org/I47327664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054507369","display_name":"Bernardo Silva","orcid":"https://orcid.org/0000-0001-7431-9776"},"institutions":[{"id":"https://openalex.org/I126158947","display_name":"Universidade Federal da Bahia","ror":"https://ror.org/03k3p7647","country_code":"BR","type":"education","lineage":["https://openalex.org/I126158947"]},{"id":"https://openalex.org/I130913789","display_name":"Instituto Federal da Bahia","ror":"https://ror.org/01tzdej37","country_code":"BR","type":"education","lineage":["https://openalex.org/I130913789"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Bernardo Silva","raw_affiliation_strings":["Federal University of Bahia, Salvador,IvisionLab, Institute of Computing,Bahia,Brazil","IvisionLab, Institute of Computing, Federal University of Bahia, Salvador, Bahia, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Bahia, Salvador,IvisionLab, Institute of Computing,Bahia,Brazil","institution_ids":["https://openalex.org/I126158947","https://openalex.org/I130913789"]},{"raw_affiliation_string":"IvisionLab, Institute of Computing, Federal University of Bahia, Salvador, Bahia, Brazil","institution_ids":["https://openalex.org/I126158947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056386972","display_name":"Luciano Oliveira","orcid":"https://orcid.org/0000-0001-7183-8853"},"institutions":[{"id":"https://openalex.org/I130913789","display_name":"Instituto Federal da Bahia","ror":"https://ror.org/01tzdej37","country_code":"BR","type":"education","lineage":["https://openalex.org/I130913789"]},{"id":"https://openalex.org/I126158947","display_name":"Universidade Federal da Bahia","ror":"https://ror.org/03k3p7647","country_code":"BR","type":"education","lineage":["https://openalex.org/I126158947"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luciano Oliveira","raw_affiliation_strings":["Federal University of Bahia, Salvador,IvisionLab, Institute of Computing,Bahia,Brazil","IvisionLab, Institute of Computing, Federal University of Bahia, Salvador, Bahia, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Bahia, Salvador,IvisionLab, Institute of Computing,Bahia,Brazil","institution_ids":["https://openalex.org/I126158947","https://openalex.org/I130913789"]},{"raw_affiliation_string":"IvisionLab, Institute of Computing, Federal University of Bahia, Salvador, Bahia, Brazil","institution_ids":["https://openalex.org/I126158947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000958393"],"corresponding_institution_ids":["https://openalex.org/I47327664"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12894389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"115","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9984999895095825,"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/segmentation","display_name":"Segmentation","score":0.7693805694580078},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7276036143302917},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.7000081539154053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6243264079093933},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5902194976806641},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5137351751327515},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.513006865978241},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4847564399242401},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45106059312820435},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4460858404636383},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.442379355430603},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.44134214520454407},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4175117611885071},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14228937029838562}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7693805694580078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7276036143302917},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.7000081539154053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6243264079093933},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5902194976806641},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5137351751327515},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.513006865978241},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4847564399242401},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45106059312820435},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4460858404636383},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.442379355430603},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.44134214520454407},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4175117611885071},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14228937029838562},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sibgrapi55357.2022.9991760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi55357.2022.9991760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","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":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1817277359","https://openalex.org/W1903029394","https://openalex.org/W1913356549","https://openalex.org/W2108598243","https://openalex.org/W2125215748","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2560023338","https://openalex.org/W2598666589","https://openalex.org/W2630837129","https://openalex.org/W2781228439","https://openalex.org/W2787091153","https://openalex.org/W2799213142","https://openalex.org/W2886934227","https://openalex.org/W2895340641","https://openalex.org/W2962850830","https://openalex.org/W2963307106","https://openalex.org/W2963350373","https://openalex.org/W2963840672","https://openalex.org/W2964137095","https://openalex.org/W2966401131","https://openalex.org/W2982631194","https://openalex.org/W2989684653","https://openalex.org/W3048553410","https://openalex.org/W4299603580","https://openalex.org/W6638480814","https://openalex.org/W6696085341","https://openalex.org/W6703733040","https://openalex.org/W6739696289"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2493838176","https://openalex.org/W4297686120","https://openalex.org/W4286681602","https://openalex.org/W3209312100","https://openalex.org/W1522196789"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,20,37,62],"novel":[4,46],"network":[5,29,47],"architecture":[6],"for":[7],"image":[8],"semantic":[9,39],"segmentation":[10],"based":[11],"on":[12,16],"attention":[13,65],"mechanisms":[14],"placed":[15],"specific":[17],"points":[18],"inside":[19],"convolutional":[21],"neural":[22],"network.":[23,70],"Attention":[24],"is":[25],"explored":[26],"across":[27],"our":[28,45,77],"to":[30],"integrate":[31],"information":[32],"from":[33],"object":[34],"boundary":[35,51],"and":[36,52,89],"baseline":[38],"segmenter":[40],"(inner":[41],"segmentation).":[42],"We":[43,71],"call":[44],"Attention-fitted":[48],"Fusion":[49],"of":[50,64,76],"Inner":[53],"Segmentation":[54],"(AFIS),":[55],"which":[56],"combines":[57],"the":[58,103],"two":[59],"streams":[60],"through":[61],"set":[63],"gates,":[66],"forming":[67],"an":[68,73],"end-to-end":[69],"performed":[72],"extensive":[74],"evaluation":[75],"method":[78],"over":[79],"four":[80],"public":[81],"challenging":[82],"data":[83],"sets":[84],"(Cityscapes,":[85],"CamVid,":[86],"Pascal":[87],"Context,":[88],"Mapillary":[90],"Vistas),":[91],"finding":[92],"superior":[93],"results":[94],"when":[95],"compared":[96],"with":[97],"other":[98],"twelve":[99],"state-of-the-art":[100],"segmenters,":[101],"considering":[102],"same":[104],"training":[105],"conditions.":[106]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
