{"id":"https://openalex.org/W4408860207","doi":"https://doi.org/10.1109/smartcity64275.2024.00021","title":"Semantically Encoding Enhancements for Unsupervised Color Feature Separation","display_name":"Semantically Encoding Enhancements for Unsupervised Color Feature Separation","publication_year":2024,"publication_date":"2024-12-13","ids":{"openalex":"https://openalex.org/W4408860207","doi":"https://doi.org/10.1109/smartcity64275.2024.00021"},"language":"en","primary_location":{"id":"doi:10.1109/smartcity64275.2024.00021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartcity64275.2024.00021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Smart City (SmartCity)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100675611","display_name":"Weijian Li","orcid":"https://orcid.org/0000-0003-4477-4860"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijian Li","raw_affiliation_strings":["School of Future Technology, South China University of Technology,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Future Technology, South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458977","display_name":"Shijie Li","orcid":"https://orcid.org/0000-0003-4635-5264"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijie Li","raw_affiliation_strings":["School of Future Technology, South China University of Technology,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Future Technology, South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102804142","display_name":"Huaiguang Jiang","orcid":"https://orcid.org/0009-0000-1182-4302"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaiguang Jiang","raw_affiliation_strings":["School of Future Technology, South China University of Technology,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Future Technology, South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.2629,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62652324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"77","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9757999777793884,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9757999777793884,"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":0.9258000254631042,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.771631121635437},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6889348030090332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5140117406845093},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.499661922454834},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42113423347473145}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.771631121635437},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6889348030090332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5140117406845093},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.499661922454834},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42113423347473145},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smartcity64275.2024.00021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartcity64275.2024.00021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Smart City (SmartCity)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1566093411","display_name":null,"funder_award_id":"2023ZYGXZR105","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2064076387","https://openalex.org/W2108598243","https://openalex.org/W2423557781","https://openalex.org/W2552383788","https://openalex.org/W2573268259","https://openalex.org/W2752796333","https://openalex.org/W2919234133","https://openalex.org/W2962770929","https://openalex.org/W4285248692","https://openalex.org/W4289752563","https://openalex.org/W4308749034","https://openalex.org/W4309167184","https://openalex.org/W4312460555","https://openalex.org/W4379924580","https://openalex.org/W4385245566","https://openalex.org/W4387319311","https://openalex.org/W4392943164","https://openalex.org/W4398250149","https://openalex.org/W4399527172","https://openalex.org/W4400525135","https://openalex.org/W6631516269","https://openalex.org/W6640963894","https://openalex.org/W6685352114","https://openalex.org/W6717697761","https://openalex.org/W6740005241","https://openalex.org/W6751254666","https://openalex.org/W6754278344","https://openalex.org/W6756663807","https://openalex.org/W6779823529","https://openalex.org/W6796149595"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"With":[0],"the":[1,7,16,27,54,70,78,84,92,161,165],"advancement":[2],"of":[3,33,83,111,134,164],"deep":[4],"learning":[5,18],"and":[6,19,30,63,80,126,158],"increasing":[8],"demand":[9],"for":[10],"high-quality":[11],"data":[12,56,146],"in":[13,114,139],"AI":[14],"research,":[15],"supervised":[17],"end-to-end":[20,34],"paradigm":[21],"has":[22],"achieved":[23],"tremendous":[24],"success.":[25],"Nevertheless,":[26],"black-box":[28],"nature":[29],"limited":[31],"generalization":[32,81],"approaches":[35],"impede":[36],"their":[37],"interpretability.":[38],"Inspired":[39],"by":[40],"multi-modal":[41],"learning,":[42],"we":[43,90],"propose":[44],"a":[45,65,140],"novel":[46],"plural":[47],"representation":[48,102],"reductionist":[49],"encoder-decoder":[50],"framework":[51,74],"that":[52,144,151],"decomposes":[53],"original":[55,71],"into":[57],"structurally":[58],"differentiated":[59],"latent":[60,100,105,136,142],"variable":[61],"combinations":[62],"uses":[64],"unified":[66],"decoder":[67],"to":[68,76,107],"recover":[69],"data.":[72],"This":[73],"aims":[75],"improve":[77],"interpretability":[79],"ability":[82],"model.":[85,166],"Based":[86],"on":[87,121],"this":[88],"framework,":[89],"design":[91],"Continuous-Discrete":[93],"VQVAE":[94],"(CD-VQVAE)":[95],"model,":[96],"which":[97],"combines":[98],"continuous":[99],"vector":[101],"with":[103],"quantized":[104],"vectors":[106,125],"achieve":[108],"unsupervised":[109,154],"separation":[110,157],"color":[112,155],"features":[113],"images.":[115],"The":[116],"proposed":[117],"model":[118],"incorporates":[119],"constraints":[120,129],"unitized":[122],"codebook":[123],"embedding":[124],"introduces":[127],"orthogonal":[128],"between":[130],"pairwise":[131],"feature":[132,156],"layers":[133],"discrete":[135],"vectors,":[137],"resulting":[138],"structured":[141],"space":[143],"reduces":[145],"redundancy.":[147],"Experimental":[148],"results":[149],"demonstrate":[150],"CD-VQVAE":[152],"achieves":[153],"effectively":[159],"improves":[160],"generation":[162],"quality":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
