{"id":"https://openalex.org/W4327700031","doi":"https://doi.org/10.3390/s23063205","title":"EDPNet: An Encoding\u2013Decoding Network with Pyramidal Representation for Semantic Image Segmentation","display_name":"EDPNet: An Encoding\u2013Decoding Network with Pyramidal Representation for Semantic Image Segmentation","publication_year":2023,"publication_date":"2023-03-17","ids":{"openalex":"https://openalex.org/W4327700031","doi":"https://doi.org/10.3390/s23063205","pmid":"https://pubmed.ncbi.nlm.nih.gov/36991916"},"language":"en","primary_location":{"id":"doi:10.3390/s23063205","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23063205","pdf_url":"https://www.mdpi.com/1424-8220/23/6/3205/pdf?version=1679997355","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","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/1424-8220/23/6/3205/pdf?version=1679997355","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013116360","display_name":"Dong Chen","orcid":"https://orcid.org/0000-0001-8118-3889"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Chen","raw_affiliation_strings":["College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":"https://orcid.org/0000-0001-8118-3889","affiliations":[{"raw_affiliation_string":"College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015218841","display_name":"Xianghong Li","orcid":"https://orcid.org/0000-0003-3006-5270"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghong Li","raw_affiliation_strings":["College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":"https://orcid.org/0000-0003-3006-5270","affiliations":[{"raw_affiliation_string":"College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101971383","display_name":"Fan Hu","orcid":"https://orcid.org/0000-0002-5376-0738"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Hu","raw_affiliation_strings":["College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":"https://orcid.org/0000-0002-5376-0738","affiliations":[{"raw_affiliation_string":"College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034411238","display_name":"P. Takis Mathiopoulos","orcid":"https://orcid.org/0000-0002-3332-4699"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"P. Takis Mathiopoulos","raw_affiliation_strings":["Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, 15784 Athens, Greece"],"raw_orcid":"https://orcid.org/0000-0002-3332-4699","affiliations":[{"raw_affiliation_string":"Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, 15784 Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031075662","display_name":"Shaoning Di","orcid":"https://orcid.org/0000-0003-4709-5484"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoning Di","raw_affiliation_strings":["School of Geosciences and Info Physics, Central South University, Changsha 410083, China"],"raw_orcid":"https://orcid.org/0000-0003-4709-5484","affiliations":[{"raw_affiliation_string":"School of Geosciences and Info Physics, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042547325","display_name":"Mingming Sui","orcid":"https://orcid.org/0000-0002-3240-7484"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingming Sui","raw_affiliation_strings":["College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":"https://orcid.org/0000-0002-3240-7484","affiliations":[{"raw_affiliation_string":"College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027174277","display_name":"Jiju Peethambaran","orcid":"https://orcid.org/0000-0003-0245-5933"},"institutions":[{"id":"https://openalex.org/I66890659","display_name":"Saint Mary's University","ror":"https://ror.org/010zh7098","country_code":"CA","type":"education","lineage":["https://openalex.org/I66890659"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Jiju Peethambaran","raw_affiliation_strings":["Department of Mathematics and Computing Science, Saint Mary\u2019s University, Halifax, NS B3P 2M6, Canada","Department of Mathematics and Computing Science, Saint Mary's University, Halifax, NS B3P 2M6, Canada"],"raw_orcid":"https://orcid.org/0000-0003-0245-5933","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computing Science, Saint Mary\u2019s University, Halifax, NS B3P 2M6, Canada","institution_ids":["https://openalex.org/I66890659"]},{"raw_affiliation_string":"Department of Mathematics and Computing Science, Saint Mary's University, Halifax, NS B3P 2M6, Canada","institution_ids":["https://openalex.org/I66890659"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027174277"],"corresponding_institution_ids":["https://openalex.org/I66890659"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.6782,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.64841653,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"23","issue":"6","first_page":"3205","last_page":"3205"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/decoding-methods","display_name":"Decoding methods","score":0.7910579442977905},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.7108776569366455},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6217755079269409},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6122027635574341},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5922898650169373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5206295847892761},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47268468141555786},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4086984395980835},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38996708393096924},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35922694206237793},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16251564025878906}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7910579442977905},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.7108776569366455},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6217755079269409},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6122027635574341},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5922898650169373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5206295847892761},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47268468141555786},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4086984395980835},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38996708393096924},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35922694206237793},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16251564025878906},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23063205","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23063205","pdf_url":"https://www.mdpi.com/1424-8220/23/6/3205/pdf?version=1679997355","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:36991916","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36991916","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10058792","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10058792","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10058792/pdf/sensors-23-03205.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":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:d96b67a497cd45da9a04c620bcecb628","is_oa":true,"landing_page_url":"https://doaj.org/article/d96b67a497cd45da9a04c620bcecb628","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":"Sensors, Vol 23, Iss 6, p 3205 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/6/3205/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23063205","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":"Sensors; Volume 23; Issue 6; Pages: 3205","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23063205","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23063205","pdf_url":"https://www.mdpi.com/1424-8220/23/6/3205/pdf?version=1679997355","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G184730824","display_name":null,"funder_award_id":"BK20201387","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G2206980909","display_name":null,"funder_award_id":"41971415","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G2272747712","display_name":null,"funder_award_id":"42271450","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G4813990130","display_name":null,"funder_award_id":"41971415","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4817279421","display_name":null,"funder_award_id":"KLSMNR-G202209","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5683447074","display_name":null,"funder_award_id":"#42271450","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7017850681","display_name":null,"funder_award_id":"KLSMNR-G202209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G828396292","display_name":null,"funder_award_id":"BK20201387","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"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4327700031.pdf"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1673310716","https://openalex.org/W1686810756","https://openalex.org/W1745334888","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1913356549","https://openalex.org/W1977556410","https://openalex.org/W1995450389","https://openalex.org/W2017745767","https://openalex.org/W2037227137","https://openalex.org/W2049633694","https://openalex.org/W2083954025","https://openalex.org/W2085261163","https://openalex.org/W2095905764","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2109200236","https://openalex.org/W2109255472","https://openalex.org/W2119605622","https://openalex.org/W2133059825","https://openalex.org/W2143238378","https://openalex.org/W2145023731","https://openalex.org/W2145378482","https://openalex.org/W2151103935","https://openalex.org/W2169099300","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2386400471","https://openalex.org/W2412782625","https://openalex.org/W2531409750","https://openalex.org/W2560023338","https://openalex.org/W2565639579","https://openalex.org/W2810270273","https://openalex.org/W2885139206","https://openalex.org/W2910281775","https://openalex.org/W2911964244","https://openalex.org/W2916798096","https://openalex.org/W2917040129","https://openalex.org/W2963418739","https://openalex.org/W2963446712","https://openalex.org/W2963727650","https://openalex.org/W2963815618","https://openalex.org/W2963857746","https://openalex.org/W2963881378","https://openalex.org/W2964309882","https://openalex.org/W2964444661","https://openalex.org/W3034971973","https://openalex.org/W3106250896","https://openalex.org/W3120795911","https://openalex.org/W3135352607","https://openalex.org/W3214910576","https://openalex.org/W4200446632","https://openalex.org/W4225012722","https://openalex.org/W4226304133","https://openalex.org/W4226488683","https://openalex.org/W4229370562","https://openalex.org/W4285290430","https://openalex.org/W4290755538","https://openalex.org/W4401725766","https://openalex.org/W6620707391","https://openalex.org/W6644682428","https://openalex.org/W6676449312","https://openalex.org/W6758454295","https://openalex.org/W6762585180"],"related_works":["https://openalex.org/W3203142394","https://openalex.org/W2368824897","https://openalex.org/W1508050556","https://openalex.org/W1910862367","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W2030109976","https://openalex.org/W2369260257","https://openalex.org/W2389120450","https://openalex.org/W55249799"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"encoding-decoding":[4,139],"network":[5],"with":[6,104,121,128,157],"a":[7,49,80,108,144],"pyramidal":[8,66,141],"representation":[9,67,83,135],"module,":[10,68],"which":[11,70,113],"will":[12],"be":[13],"referred":[14],"to":[15,51,212],"as":[16,48],"EDPNet,":[17,37],"and":[18,76,84,125,140,147,173,184,193,198,217],"is":[19,46],"designed":[20],"for":[21],"efficient":[22],"semantic":[23,123],"image":[24,93],"segmentation.":[25],"On":[26,87],"the":[27,31,35,38,41,53,65,71,88,92,97,105,137,164,188,206,222,226],"one":[28],"hand,":[29,90],"during":[30,91],"encoding":[32],"process":[33],"of":[34,40,107,151,163,191,214],"proposed":[36,133,138,165],"enhancement":[39],"Xception":[42],"network,":[43],"i.e.,":[44],"Xception+":[45],"employed":[47],"backbone":[50],"learn":[52],"discriminative":[54,59],"feature":[55,82],"maps.":[56],"The":[57,132,161],"obtained":[58],"features":[60,73,100,120,127],"are":[61,74,101],"then":[62],"fed":[63],"into":[64],"from":[69],"context-augmented":[72],"learned":[75],"optimized":[77],"by":[78],"leveraging":[79],"multi-level":[81],"aggregation":[85],"process.":[86],"other":[89,207],"restoration":[94],"decoding":[95],"process,":[96],"encoded":[98,119],"semantic-rich":[99],"progressively":[102],"recovered":[103],"assistance":[106],"simplified":[109],"skip":[110],"connection":[111],"mechanism,":[112],"performs":[114],"channel":[115],"concatenation":[116],"between":[117],"high-level":[118],"rich":[122],"information":[124],"low-level":[126],"spatial":[129],"detail":[130],"information.":[131],"hybrid":[134],"employing":[136,175],"structures":[142],"has":[143,167],"global-aware":[145],"perception":[146],"captures":[148],"fine-grained":[149],"contours":[150],"various":[152],"geographical":[153],"objects":[154],"very":[155],"well":[156],"high":[158],"computational":[159],"efficiency.":[160],"performance":[162],"EDPNet":[166,186,220],"been":[168],"compared":[169,227],"against":[170],"PSPNet,":[171,215],"DeepLabv3,":[172,216],"U-Net,":[174],"four":[176],"benchmark":[177],"datasets,":[178,201],"namely":[179],"eTRIMS,":[180],"Cityscapes,":[181],"PASCAL":[182,199],"VOC2012,":[183],"CamVid.":[185],"acquired":[187],"highest":[189,223],"accuracy":[190,204],"83.6%":[192],"73.8%":[194],"mIoUs":[195],"on":[196,205,229],"eTRIMS":[197],"VOC2012":[200],"while":[202],"its":[203],"two":[208],"datasets":[209],"was":[210],"comparable":[211],"that":[213],"U-Net":[218],"models.":[219],"achieved":[221],"efficiency":[224],"among":[225],"models":[228],"all":[230],"datasets.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}