{"id":"https://openalex.org/W4404136281","doi":"https://doi.org/10.1145/3686540.3686545","title":"DBDDL: Double-Branch Deep Dictionary Learning for Multi-Label Image Classification","display_name":"DBDDL: Double-Branch Deep Dictionary Learning for Multi-Label Image Classification","publication_year":2024,"publication_date":"2024-05-29","ids":{"openalex":"https://openalex.org/W4404136281","doi":"https://doi.org/10.1145/3686540.3686545"},"language":"en","primary_location":{"id":"doi:10.1145/3686540.3686545","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3686540.3686545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 6th International Conference on Big-data Service and Intelligent Computation","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/A5019754713","display_name":"Wenke Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenke Zhang","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Shanghai University, China"],"raw_orcid":"https://orcid.org/0009-0008-0069-0028","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Shanghai University, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063860802","display_name":"Mengmeng Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"MengMeng Liao","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Shanghai University, China"],"raw_orcid":"https://orcid.org/0000-0003-1371-2990","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Shanghai University, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019754713"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17328972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"35","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9983000159263611,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9696000218391418,"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":0.7529268264770508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6894830465316772},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5598437786102295},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5577834248542786},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4527653455734253},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.4469953775405884},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4273895025253296}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7529268264770508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6894830465316772},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5598437786102295},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5577834248542786},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4527653455734253},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.4469953775405884},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4273895025253296}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3686540.3686545","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3686540.3686545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 6th International Conference on Big-data Service and Intelligent Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2097117768","https://openalex.org/W2156935079","https://openalex.org/W2194775991","https://openalex.org/W2760746198","https://openalex.org/W2932399282","https://openalex.org/W2946948417","https://openalex.org/W2963875806","https://openalex.org/W2966628364","https://openalex.org/W3005396940","https://openalex.org/W3094502228","https://openalex.org/W3165181705","https://openalex.org/W3192931333","https://openalex.org/W3202884348","https://openalex.org/W4214510796","https://openalex.org/W4247924304","https://openalex.org/W4309724443","https://openalex.org/W6639102338"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W2795259429","https://openalex.org/W2546503577"],"abstract_inverted_index":{"With":[0],"the":[1,15,25,78,97,105,122],"rapid":[2],"development":[3],"of":[4,17,27,74,82,126],"information":[5,37,70,73],"technology,":[6],"image":[7,40,84,138],"classification":[8,41,91,139],"technology":[9],"plays":[10],"a":[11,44,63,89],"crucial":[12],"role":[13],"in":[14,38],"field":[16],"computer":[18],"vision.":[19],"This":[20,53],"study":[21],"aims":[22],"to":[23,31,61,93],"address":[24],"problem":[26],"existing":[28,109],"methods":[29,110,134],"failing":[30],"effectively":[32],"utilize":[33],"semantic":[34,69],"detail":[35,72],"combination":[36],"multi-label":[39,83,137],"tasks,":[42],"proposing":[43],"novel":[45],"approach":[46],"called":[47],"Double-Branch":[48],"Deep":[49],"Dictionary":[50],"Learning":[51],"(DBDDL).":[52],"method":[54,107],"combines":[55],"deep":[56,65],"learning":[57,60,66],"and":[58,71,80,119,124,133],"dictionary":[59],"construct":[62],"double-branch":[64],"framework,":[67],"integrating":[68],"images,":[75],"thereby":[76],"improving":[77],"performance":[79],"robustness":[81],"classification.":[85],"Additionally,":[86],"we":[87],"designed":[88],"dynamic":[90],"module":[92],"better":[94],"focus":[95],"on":[96,111],"correlation":[98],"between":[99],"labels.":[100],"Experimental":[101],"results":[102],"demonstrate":[103],"that":[104],"DBDDL":[106],"outperforms":[108],"benchmark":[112],"datasets":[113],"such":[114],"as":[115],"PASCAL":[116],"VOC":[117],"2007":[118],"MS-COCO,":[120],"validating":[121],"effectiveness":[123],"practicality":[125],"our":[127],"proposed":[128],"method,":[129],"providing":[130],"new":[131],"insights":[132],"for":[135],"addressing":[136],"problems.":[140]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}