{"id":"https://openalex.org/W3199828703","doi":"https://doi.org/10.1145/3467691.3467692","title":"A Novel Human Parsing Method Driven by Multi-Scale Feature Blend Network","display_name":"A Novel Human Parsing Method Driven by Multi-Scale Feature Blend Network","publication_year":2021,"publication_date":"2021-04-09","ids":{"openalex":"https://openalex.org/W3199828703","doi":"https://doi.org/10.1145/3467691.3467692","mag":"3199828703"},"language":"en","primary_location":{"id":"doi:10.1145/3467691.3467692","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3467691.3467692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Robot Systems and Applications","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/A5036018723","display_name":"Chunxu Wang","orcid":"https://orcid.org/0000-0001-6871-9730"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunxu Wang","raw_affiliation_strings":["School of Computer and Information,Hefei University of technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information,Hefei University of technology, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029767215","display_name":"Benzhu Xu","orcid":"https://orcid.org/0000-0002-0092-9173"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benzhu Xu","raw_affiliation_strings":["School of Computer and Information,Hefei University of technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information,Hefei University of technology, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052928440","display_name":"Gaofeng Zhang","orcid":"https://orcid.org/0000-0003-0536-7226"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaofeng Zhang","raw_affiliation_strings":["School of Computer and Information,Hefei University of technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information,Hefei University of technology, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036018723"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11393791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"30","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9983999729156494,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9983999729156494,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9941999912261963,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9933000206947327,"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":0.8344098925590515},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7896300554275513},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7884578704833984},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6946573853492737},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.694098949432373},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6240270733833313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6167314052581787},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5930045247077942},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.5463535785675049},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.45307019352912903},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.4463636875152588},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4151320159435272},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4081272482872009},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.1702829897403717},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06293067336082458}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8344098925590515},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7896300554275513},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7884578704833984},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6946573853492737},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.694098949432373},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6240270733833313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6167314052581787},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5930045247077942},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.5463535785675049},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.45307019352912903},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.4463636875152588},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4151320159435272},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4081272482872009},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1702829897403717},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06293067336082458},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3467691.3467692","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3467691.3467692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Robot Systems and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.46000000834465027,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2031489346","https://openalex.org/W2097117768","https://openalex.org/W2104408738","https://openalex.org/W2194775991","https://openalex.org/W2294868795","https://openalex.org/W2563705555","https://openalex.org/W2598915960","https://openalex.org/W2737682710","https://openalex.org/W2798453399","https://openalex.org/W2963881378","https://openalex.org/W2964072977","https://openalex.org/W4245551996"],"related_works":["https://openalex.org/W579810227","https://openalex.org/W2993564273","https://openalex.org/W4286907753","https://openalex.org/W3208389169","https://openalex.org/W3134004915","https://openalex.org/W2953187864","https://openalex.org/W2888728082","https://openalex.org/W3121197456","https://openalex.org/W3129447544","https://openalex.org/W2783628087"],"abstract_inverted_index":{"In":[0,27],"recent":[1],"years,":[2],"human":[3,113],"parsing":[4],"has":[5],"been":[6],"developed":[7],"a":[8,30],"lot":[9],"for":[10],"its":[11],"valuable":[12],"utilization.":[13],"However,":[14],"existing":[15],"methods":[16,111],"have":[17],"not":[18],"fully":[19],"solved":[20],"semantic":[21,25],"errors":[22],"and":[23,81,85],"incomplete":[24],"predictions.":[26],"this":[28],"regard,":[29],"Multi-Scale":[31],"Feature":[32],"Blend":[33],"Network(MFBNet)":[34],"is":[35,73],"proposed":[36,105],"to":[37,66,79,91],"deal":[38],"with":[39],"these":[40],"problems":[41],"from":[42],"the":[43,53,59,63,76,87,92,104,109],"respective":[44],"of":[45],"fusing":[46],"multi-scale":[47,68],"features.":[48],"Specifically,":[49],"we":[50],"creatively":[51],"introduce":[52],"Context":[54,93],"Embedding":[55,94],"module":[56],"which":[57],"uses":[58],"feature":[60,69,89],"pyramid":[61],"as":[62,75],"main":[64],"structure":[65],"blend":[67],"information.":[70],"Besides,":[71],"ResNet-101":[72],"applied":[74],"backbone":[77],"network":[78],"train":[80],"optimize":[82],"shared":[83],"weights":[84],"map":[86],"generated":[88],"maps":[90],"module.":[95],"Experimental":[96],"results":[97],"on":[98],"several":[99],"wide-used":[100],"datasets":[101],"show":[102],"that":[103],"method":[106],"outperforms":[107],"than":[108],"state-of-art":[110],"in":[112],"parsing.":[114]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}