{"id":"https://openalex.org/W4379233211","doi":"https://doi.org/10.3390/e25060891","title":"Improving Semantic Segmentation via Decoupled Body and Edge Information","display_name":"Improving Semantic Segmentation via Decoupled Body and Edge Information","publication_year":2023,"publication_date":"2023-06-02","ids":{"openalex":"https://openalex.org/W4379233211","doi":"https://doi.org/10.3390/e25060891","pmid":"https://pubmed.ncbi.nlm.nih.gov/37372235"},"language":"en","primary_location":{"id":"doi:10.3390/e25060891","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25060891","pdf_url":"https://www.mdpi.com/1099-4300/25/6/891/pdf?version=1685684997","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/25/6/891/pdf?version=1685684997","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112522018","display_name":"Lintao Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lintao Yu","raw_affiliation_strings":["College of Electronic Information Engineering, Changchun University of Science and Technology, Changchun 130022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Information Engineering, Changchun University of Science and Technology, Changchun 130022, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087768679","display_name":"Anni Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anni Yao","raw_affiliation_strings":["College of Electronic Information Engineering, Changchun University of Science and Technology, Changchun 130022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Information Engineering, Changchun University of Science and Technology, Changchun 130022, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101699390","display_name":"Jin Duan","orcid":"https://orcid.org/0009-0003-1216-9241"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jin Duan","raw_affiliation_strings":["College of Electronic Information Engineering, Changchun University of Science and Technology, Changchun 130022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Information Engineering, Changchun University of Science and Technology, Changchun 130022, China","institution_ids":["https://openalex.org/I106645853"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101699390"],"corresponding_institution_ids":["https://openalex.org/I106645853"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.4633,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63212577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"25","issue":"6","first_page":"891","last_page":"891"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9993000030517578,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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":0.7164989709854126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6857108473777771},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6506127119064331},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6200528740882874},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4769631624221802},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.443334698677063},{"id":"https://openalex.org/keywords/morphological-gradient","display_name":"Morphological gradient","score":0.4121195077896118},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39461439847946167},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.3213052749633789}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7164989709854126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6857108473777771},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6506127119064331},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6200528740882874},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4769631624221802},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.443334698677063},{"id":"https://openalex.org/C96133863","wikidata":"https://www.wikidata.org/wiki/Q6913458","display_name":"Morphological gradient","level":5,"score":0.4121195077896118},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39461439847946167},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3213052749633789}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e25060891","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25060891","pdf_url":"https://www.mdpi.com/1099-4300/25/6/891/pdf?version=1685684997","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:37372235","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37372235","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":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10296844","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10296844","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10296844/pdf/entropy-25-00891.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:c2575172e74f4ec984709d1667632094","is_oa":true,"landing_page_url":"https://doaj.org/article/c2575172e74f4ec984709d1667632094","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 25, Iss 6, p 891 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/25/6/891/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e25060891","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 25; Issue 6; Pages: 891","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e25060891","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25060891","pdf_url":"https://www.mdpi.com/1099-4300/25/6/891/pdf?version=1685684997","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8399999737739563}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322174","display_name":"People's Government of Jilin Province","ror":"https://ror.org/02fzqav45"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379233211.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2109255472","https://openalex.org/W2124592697","https://openalex.org/W2266390837","https://openalex.org/W2340897893","https://openalex.org/W2470139095","https://openalex.org/W2563705555","https://openalex.org/W2886799640","https://openalex.org/W2921406441","https://openalex.org/W2955058313","https://openalex.org/W2957077982","https://openalex.org/W2962872526","https://openalex.org/W2963563573","https://openalex.org/W2964254867","https://openalex.org/W2964309882","https://openalex.org/W2979394918","https://openalex.org/W3035358681","https://openalex.org/W3096653763","https://openalex.org/W3103010481","https://openalex.org/W3106651317","https://openalex.org/W3107113572","https://openalex.org/W3110440461","https://openalex.org/W3170019900","https://openalex.org/W4295308583","https://openalex.org/W4306711323","https://openalex.org/W4312766229","https://openalex.org/W4321597887","https://openalex.org/W6756040250","https://openalex.org/W6790082489","https://openalex.org/W6797153837"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2150504945","https://openalex.org/W1522429714","https://openalex.org/W2084832858","https://openalex.org/W2102204097","https://openalex.org/W3196005494","https://openalex.org/W2360759360"],"abstract_inverted_index":{"In":[0,122],"this":[1,226],"paper,":[2],"we":[3],"propose":[4],"a":[5,22,62,141,186],"method":[6,43,153,200,209,224],"that":[7,27],"uses":[8],"the":[9,30,33,36,39,46,71,75,93,98,102,110,113,118,123,128,147,155,159,162,173,179,192,202,212,223,233],"idea":[10],"of":[11,38,49,61,74,112,125,149,181,194,215],"decoupling":[12],"and":[13,35,41,52,65,86,116,138,176,207,218],"unites":[14],"edge":[15,37,87,126,163,166,195],"information":[16,133,169,183],"for":[17],"semantic":[18],"segmentation.":[19],"We":[20,197],"build":[21],"new":[23],"dual-stream":[24,56],"CNN":[25,57],"architecture":[26,58],"fully":[28],"considers":[29],"interaction":[31],"between":[32],"body":[34,84,90,103,114,174],"object,":[40],"our":[42,199,208],"significantly":[44],"improves":[45,211],"segmentation":[47,213],"performance":[48,214],"small":[50],"objects":[51,217],"object":[53,77,106],"boundaries.":[54],"The":[55,89,165],"mainly":[59],"consists":[60],"body-stream":[63],"module":[64],"an":[66],"edge-stream":[67],"module,":[68],"which":[69,144],"process":[70],"feature":[72],"map":[73],"segmented":[76],"into":[78],"two":[79],"parts":[80],"with":[81,172,235],"low":[82],"coupling:":[83],"features":[85,95],"features.":[88],"stream":[91,167,175],"warps":[92,101],"image":[94],"by":[96,184],"learning":[97],"flow-field":[99],"offset,":[100],"pixels":[104],"toward":[105],"inner":[107,120],"parts,":[108],"completes":[109],"generation":[111,124],"features,":[115,127],"enhances":[117],"object's":[119],"consistency.":[121],"current":[129],"state-of-the-art":[130,220],"model":[131],"processes":[132,168],"such":[134],"as":[135],"color,":[136],"shape,":[137],"texture":[139],"under":[140],"single":[142],"network,":[143,160],"will":[145],"ignore":[146],"recognition":[148],"important":[150],"information.":[151,196],"Our":[152],"separates":[154],"edge-processing":[156],"branch":[157],"in":[158,170,225],"i.e.,":[161],"stream.":[164],"parallel":[171],"effectively":[177],"eliminates":[178],"noise":[180],"useless":[182],"introducing":[185],"non-edge":[187],"suppression":[188],"layer":[189],"to":[190],"emphasize":[191],"importance":[193],"validate":[198],"on":[201,232],"large-scale":[203],"public":[204],"dataset":[205],"Cityscapes,":[206],"greatly":[210],"hard-to-segment":[216],"achieves":[219],"result.":[221],"Notably,":[222],"paper":[227],"can":[228],"achieve":[229],"82.6%":[230],"mIoU":[231],"Cityscapes":[234],"only":[236],"fine-annotated":[237],"data.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
