{"id":"https://openalex.org/W3134571421","doi":"https://doi.org/10.1109/access.2021.3064346","title":"IIE-SegNet: Deep Semantic Segmentation Network With Enhanced Boundary Based on Image Information Entropy","display_name":"IIE-SegNet: Deep Semantic Segmentation Network With Enhanced Boundary Based on Image Information Entropy","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3134571421","doi":"https://doi.org/10.1109/access.2021.3064346","mag":"3134571421"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3064346","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3064346","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2021.3064346","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100404026","display_name":"Qing Li","orcid":"https://orcid.org/0000-0001-7690-3925"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-7690-3925","affiliations":[{"raw_affiliation_string":"College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740072","display_name":"Hongjian Wang","orcid":"https://orcid.org/0000-0003-1187-0135"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjian Wang","raw_affiliation_strings":["College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-1187-0135","affiliations":[{"raw_affiliation_string":"College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087843117","display_name":"Benyin Li","orcid":"https://orcid.org/0000-0003-1527-5886"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ben-Yin Li","raw_affiliation_strings":["College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076010585","display_name":"Yanghua Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tang Yanghua","raw_affiliation_strings":["College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100666590","display_name":"Juan Li","orcid":"https://orcid.org/0000-0002-9991-1538"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Li","raw_affiliation_strings":["College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-9991-1538","affiliations":[{"raw_affiliation_string":"College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.4133,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.83267197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"40612","last_page":"40622"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7541086077690125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7489604353904724},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7190537452697754},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6323050260543823},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6001489758491516},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.576672375202179},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5651318430900574},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.531970202922821},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4441647231578827},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.44185835123062134},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4237639904022217},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4180784523487091}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7541086077690125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7489604353904724},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7190537452697754},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6323050260543823},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6001489758491516},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.576672375202179},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5651318430900574},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.531970202922821},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4441647231578827},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.44185835123062134},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4237639904022217},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4180784523487091},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3064346","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3064346","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9018f6c9d85e4b3ba2c64d6c762450b3","is_oa":true,"landing_page_url":"https://doaj.org/article/9018f6c9d85e4b3ba2c64d6c762450b3","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":"IEEE Access, Vol 9, Pp 40612-40622 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3064346","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3064346","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G2613986417","display_name":null,"funder_award_id":"61633008","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W592963477","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W1924770834","https://openalex.org/W1959608418","https://openalex.org/W1969616664","https://openalex.org/W1995875735","https://openalex.org/W2031489346","https://openalex.org/W2037227137","https://openalex.org/W2054279472","https://openalex.org/W2064675550","https://openalex.org/W2095844239","https://openalex.org/W2097117768","https://openalex.org/W2109255472","https://openalex.org/W2112796928","https://openalex.org/W2116877738","https://openalex.org/W2125215748","https://openalex.org/W2131774270","https://openalex.org/W2133564696","https://openalex.org/W2137881638","https://openalex.org/W2157331557","https://openalex.org/W2163605009","https://openalex.org/W2232141968","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2535516436","https://openalex.org/W2536208356","https://openalex.org/W2560023338","https://openalex.org/W2560311620","https://openalex.org/W2561196672","https://openalex.org/W2563705555","https://openalex.org/W2593989578","https://openalex.org/W2598666589","https://openalex.org/W2609077090","https://openalex.org/W2630837129","https://openalex.org/W2737258237","https://openalex.org/W2745384027","https://openalex.org/W2809360363","https://openalex.org/W2885494115","https://openalex.org/W2888405599","https://openalex.org/W2896556344","https://openalex.org/W2954986968","https://openalex.org/W2962835968","https://openalex.org/W2963165299","https://openalex.org/W2963542991","https://openalex.org/W2963881378","https://openalex.org/W2964308564","https://openalex.org/W2964309882","https://openalex.org/W2971726345","https://openalex.org/W3022086662","https://openalex.org/W3024859318","https://openalex.org/W3039672062","https://openalex.org/W4403853345","https://openalex.org/W6629368666","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6640212811","https://openalex.org/W6640295612","https://openalex.org/W6640963894","https://openalex.org/W6674793120","https://openalex.org/W6679434410","https://openalex.org/W6680357304","https://openalex.org/W6684191040","https://openalex.org/W6730845260","https://openalex.org/W6739696289","https://openalex.org/W6748481559"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2963497947","https://openalex.org/W2103507220","https://openalex.org/W2766430333","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4205800335","https://openalex.org/W2055202857","https://openalex.org/W2022929107"],"abstract_inverted_index":{"With":[0],"the":[1,8,25,34,42,111,114,128,131,138,142,146,151,158,168,178,182,198,212,216,219,228],"vigorous":[2],"development":[3],"of":[4,11,29,36,105,113,130,141,150,170,222],"deep":[5,65,84],"learning":[6,85],"and":[7,33,47,56,102,117,145,174,227],"widespread":[9],"use":[10],"mobile":[12],"robots,":[13],"automatic":[14,30],"driving":[15,31],"has":[16,91,118,201],"gradually":[17],"become":[18],"a":[19,64],"research":[20],"hotspot.":[21],"Environment":[22],"perception":[23,38],"is":[24,39,53,155,225,230],"most":[26],"important":[27],"part":[28],"technology,":[32],"purpose":[35],"environment":[37],"to":[40,137,166,190],"distinguish":[41],"environmental":[43],"content.":[44],"Therefore,":[45],"accurate":[46],"efficient":[48],"image":[49,79,147],"semantic":[50,66,71,88],"segmentation":[51,67,72,89,97,115,120,220],"method":[52,109,200],"becoming":[54],"more":[55,57],"important.":[58],"In":[59,125],"this":[60],"paper,":[61],"we":[62],"introduce":[63,163],"solution:":[68],"IIE-SegNet:":[69],"Deep":[70],"network":[73],"with":[74,211],"enhanced":[75],"boundary":[76,104,112,229],"based":[77,86],"on":[78,87,181,204],"information":[80,148],"entropy.":[81],"At":[82],"present,":[83],"solutions":[90],"some":[92],"problems,":[93],"such":[94],"as":[95],"low":[96],"accuracy":[98,121,221],"for":[99,122],"small-scale":[100,123,223],"objects":[101],"unclear":[103],"segmented":[106],"objects.":[107,124],"Our":[108],"preserves":[110],"object,":[116],"higher":[119],"our":[126],"method,":[127],"features":[129],"underlying":[132],"pooling":[133,153],"layer":[134],"are":[135],"added":[136],"ASPP":[139],"structure":[140],"encoding":[143],"module,":[144],"entropy":[149],"previous":[152],"layers":[154],"introduced":[156],"into":[157],"decoding":[159],"module.":[160],"We":[161],"also":[162],"focal":[164],"loss":[165],"solve":[167],"problem":[169],"imbalance":[171],"between":[172],"positive":[173],"negative":[175],"samples.":[176],"Finally,":[177],"test":[179,187,194,208],"results":[180],"extended":[183],"Pascal":[184],"VOC":[185,192,206],"2012":[186,193,207],"set,":[188],"abbreviated":[189],"Exp-Pascal":[191,205],"set":[195,209],"show":[196],"that":[197],"proposed":[199],"better":[202],"performance":[203],"compared":[210],"advanced":[213],"methods":[214],"at":[215],"present":[217],"stage,":[218],"targets":[224],"higher,":[226],"clearer.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
