{"id":"https://openalex.org/W4409537011","doi":"https://doi.org/10.1109/icvisp64524.2024.10959527","title":"Deep Neural Hashing with Adaptive Feature Fusion for Efficient Image Retrieval","display_name":"Deep Neural Hashing with Adaptive Feature Fusion for Efficient Image Retrieval","publication_year":2024,"publication_date":"2024-12-27","ids":{"openalex":"https://openalex.org/W4409537011","doi":"https://doi.org/10.1109/icvisp64524.2024.10959527"},"language":"en","primary_location":{"id":"doi:10.1109/icvisp64524.2024.10959527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp64524.2024.10959527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 8th International Conference on Vision, Image and Signal Processing (ICVISP)","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/A5036775341","display_name":"C.\u2010J. Richard Shi","orcid":"https://orcid.org/0000-0002-3157-3464"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chun-Ju Shi","raw_affiliation_strings":["Shandong Vocational University of Foreign Affairs,Weihai City,Shandong Province,China"],"affiliations":[{"raw_affiliation_string":"Shandong Vocational University of Foreign Affairs,Weihai City,Shandong Province,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102257460","display_name":"Li-Xia Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li-Xia Sun","raw_affiliation_strings":["Shandong Vocational University of Foreign Affairs,Weihai City,Shandong Province,China"],"affiliations":[{"raw_affiliation_string":"Shandong Vocational University of Foreign Affairs,Weihai City,Shandong Province,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056937548","display_name":"S. Joe Qin","orcid":"https://orcid.org/0000-0001-7631-2535"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuang-Yu Qin","raw_affiliation_strings":["Shandong Vocational University of Foreign Affairs,Weihai City,Shandong Province,China"],"affiliations":[{"raw_affiliation_string":"Shandong Vocational University of Foreign Affairs,Weihai City,Shandong Province,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063816333","display_name":"Xiaodong Gu","orcid":"https://orcid.org/0000-0002-8720-3227"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao-Tian Gu","raw_affiliation_strings":["Boshan Economic Development Zone Health Center,Zibo City,Shandong Province,China"],"affiliations":[{"raw_affiliation_string":"Boshan Economic Development Zone Health Center,Zibo City,Shandong Province,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036775341"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30630777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9936000108718872,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9627000093460083,"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":0.7565469741821289},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7459971308708191},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6288150548934937},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6132211685180664},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5974067449569702},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5917518138885498},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5146468877792358},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49291229248046875},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47671952843666077},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4276289641857147},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.415152370929718},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4140186905860901},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23716452717781067}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7565469741821289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7459971308708191},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6288150548934937},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6132211685180664},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5974067449569702},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5917518138885498},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5146468877792358},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49291229248046875},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47671952843666077},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4276289641857147},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.415152370929718},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4140186905860901},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23716452717781067},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icvisp64524.2024.10959527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp64524.2024.10959527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 8th International Conference on Vision, Image and Signal Processing (ICVISP)","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":15,"referenced_works":["https://openalex.org/W968110725","https://openalex.org/W2784105493","https://openalex.org/W2969520083","https://openalex.org/W2982474075","https://openalex.org/W3165084071","https://openalex.org/W3194730353","https://openalex.org/W4281696352","https://openalex.org/W4289639783","https://openalex.org/W4390414697","https://openalex.org/W4390660438","https://openalex.org/W4394724650","https://openalex.org/W4399039458","https://openalex.org/W4402727158","https://openalex.org/W4404600716","https://openalex.org/W6857401808"],"related_works":["https://openalex.org/W4379791551","https://openalex.org/W2171339367","https://openalex.org/W2100309816","https://openalex.org/W1997438849","https://openalex.org/W2731517839","https://openalex.org/W2376532164","https://openalex.org/W2969631507","https://openalex.org/W2735794310","https://openalex.org/W2009811121","https://openalex.org/W1997557627"],"abstract_inverted_index":{"Efficient":[0],"image":[1,143],"retrieval":[2,38,104,144],"is":[3],"of":[4,12],"paramount":[5],"importance":[6],"in":[7,20,28,121],"managing":[8],"the":[9],"increasing":[10],"volume":[11],"visual":[13],"data":[14],"across":[15],"diverse":[16],"domains.":[17],"Despite":[18],"advancements":[19],"deep":[21,59],"learning,":[22],"extant":[23],"methodologies":[24],"frequently":[25],"encounter":[26],"challenges":[27],"efficient":[29],"feature":[30,65],"integration,":[31],"adaptability,":[32],"and":[33,91,112,126,131],"contextual":[34,100],"comprehension,":[35],"thereby":[36],"impacting":[37],"performance":[39],"on":[40,109],"large-scale":[41],"datasets.":[42],"This":[43],"research":[44],"introduces":[45],"Deep":[46],"Neural":[47],"Hashing":[48],"with":[49],"Adaptive":[50],"Feature":[51],"Fusion":[52],"(DNH-AFF),":[53],"a":[54,73,95,138],"novel":[55],"framework":[56],"that":[57,116],"enhances":[58],"hashing":[60],"techniques.":[61],"DNH-AFF":[62,117,136],"utilizes":[63],"adaptive":[64],"fusion":[66],"to":[67,102],"dynamically":[68],"integrate":[69],"multi-scale":[70],"features,":[71],"ensuring":[72],"comprehensive":[74],"semantic":[75,87],"representation.":[76],"A":[77],"multi-task":[78],"loss":[79],"function":[80],"optimizes":[81],"hash":[82],"code":[83],"generation":[84],"by":[85],"enhancing":[86],"similarity,":[88],"inter-class":[89],"separability,":[90],"intra-class":[92],"compactness.":[93],"Furthermore,":[94],"graph-based":[96],"module":[97],"captures":[98],"global":[99],"relationships":[101],"refine":[103],"accuracy.":[105],"Experimental":[106],"evaluations":[107],"conducted":[108],"CIFAR-10,":[110],"NUS-WIDE,":[111],"MS-COCO":[113],"datasets":[114],"demonstrate":[115],"surpasses":[118],"state-of-the-art":[119],"methods":[120],"mean":[122],"Average":[123],"Precision":[124],"(mAP)":[125],"F1-score,":[127],"affirming":[128],"its":[129],"robustness":[130],"scalability.":[132],"These":[133],"findings":[134],"establish":[135],"as":[137],"promising":[139],"solution":[140],"for":[141],"real-world":[142],"applications.":[145]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
