{"id":"https://openalex.org/W2777623412","doi":"https://doi.org/10.1109/dicta.2017.8227388","title":"A Fully-Convolutional Framework for Semantic Segmentation","display_name":"A Fully-Convolutional Framework for Semantic Segmentation","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2777623412","doi":"https://doi.org/10.1109/dicta.2017.8227388","mag":"2777623412"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2017.8227388","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2017.8227388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","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/A5045163085","display_name":"Yalong Jiang","orcid":"https://orcid.org/0000-0001-7224-6067"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yalong Jiang","raw_affiliation_strings":["Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050364086","display_name":"Zheru Chi","orcid":"https://orcid.org/0000-0003-0714-8713"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zheru Chi","raw_affiliation_strings":["Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":0.3607,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69909959,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"23","issue":null,"first_page":"1","last_page":"7"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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":0.9998999834060669,"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":0.8329606056213379},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7557542324066162},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6286678910255432},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5876024961471558},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5856022834777832},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5693228244781494},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5059928297996521},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47166526317596436},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.451631635427475},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4314251244068146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.363314151763916}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8329606056213379},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7557542324066162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6286678910255432},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5876024961471558},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5856022834777832},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5693228244781494},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5059928297996521},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47166526317596436},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.451631635427475},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4314251244068146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.363314151763916},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dicta.2017.8227388","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2017.8227388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/79433","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/79433","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W1949049686","https://openalex.org/W2029538739","https://openalex.org/W2029731618","https://openalex.org/W2037227137","https://openalex.org/W2080873731","https://openalex.org/W2095844239","https://openalex.org/W2097117768","https://openalex.org/W2100588357","https://openalex.org/W2103015390","https://openalex.org/W2104408738","https://openalex.org/W2116877738","https://openalex.org/W2124351162","https://openalex.org/W2128271252","https://openalex.org/W2149933564","https://openalex.org/W2161236525","https://openalex.org/W2163605009","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2279098554","https://openalex.org/W2309415944","https://openalex.org/W2412782625","https://openalex.org/W2574182210","https://openalex.org/W2609073078","https://openalex.org/W2612445135","https://openalex.org/W2613718673","https://openalex.org/W2952793010","https://openalex.org/W2963542991","https://openalex.org/W2964304707","https://openalex.org/W3106250896","https://openalex.org/W4238284510","https://openalex.org/W4252621450","https://openalex.org/W4299518610","https://openalex.org/W6620707391","https://openalex.org/W6639102338","https://openalex.org/W6674793120","https://openalex.org/W6682132143","https://openalex.org/W6683607639","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W1533177136","https://openalex.org/W4380994516","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,46,67],"propose":[4],"a":[5,26,32,138],"deep":[6],"learning":[7],"technique":[8],"to":[9,41,56,61,74,113,121],"improve":[10,42],"the":[11,23,43,69,75,80,91,98,104,115,118,133],"performance":[12],"of":[13,34,93,100,106,117,141],"semantic":[14],"segmentation":[15,63,76],"tasks.":[16],"Previously":[17],"proposed":[18],"algorithms":[19],"generally":[20],"suffer":[21],"from":[22],"over-dependence":[24],"on":[25,86],"single":[27],"modality":[28],"as":[29,31],"well":[30],"lack":[33],"training":[35,79],"data.":[36],"We":[37],"made":[38],"three":[39],"contributions":[40],"performance.":[44],"Firstly,":[45],"adopt":[47],"two":[48,81],"models":[49,82],"which":[50],"are":[51],"complementary":[52],"in":[53,83,108],"our":[54,84,109,129],"framework":[55,85,110,119,130],"enrich":[57],"field-of-views":[58],"and":[59,120,143],"features":[60],"make":[62],"more":[64],"reliable.":[65],"Secondly,":[66],"repurpose":[68],"datasets":[70],"form":[71],"other":[72],"tasks":[73],"task":[77],"by":[78],"different":[87],"datasets.":[88],"This":[89],"brings":[90],"benefits":[92],"data":[94],"augmentation":[95],"while":[96],"saving":[97],"cost":[99],"image":[101],"annotation.":[102],"Thirdly,":[103],"number":[105,140],"parameters":[107,142],"is":[111],"minimized":[112],"reduce":[114],"complexity":[116],"avoid":[122],"over-":[123],"fitting.":[124],"Experimental":[125],"results":[126],"show":[127],"that":[128],"significantly":[131],"outperforms":[132],"current":[134],"state-of-the-art":[135],"methods":[136],"with":[137],"smaller":[139],"better":[144],"generalization":[145],"ability.":[146]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
