{"id":"https://openalex.org/W2966747399","doi":"https://doi.org/10.1109/icaci.2019.8778549","title":"Large-scale Multi-label Image Retrieval Using Residual Network with Hash Layer","display_name":"Large-scale Multi-label Image Retrieval Using Residual Network with Hash Layer","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2966747399","doi":"https://doi.org/10.1109/icaci.2019.8778549","mag":"2966747399"},"language":"en","primary_location":{"id":"doi:10.1109/icaci.2019.8778549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2019.8778549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eleventh International Conference on Advanced Computational Intelligence (ICACI)","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/A5008213911","display_name":"Baohua Qiang","orcid":"https://orcid.org/0000-0002-3469-6590"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bao-hua Qiang","raw_affiliation_strings":["Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044652658","display_name":"Wang Pei-lei","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pei-lei Wang","raw_affiliation_strings":["Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080734422","display_name":"Shuiping Guo","orcid":"https://orcid.org/0009-0000-3633-2515"},"institutions":[{"id":"https://openalex.org/I2800372957","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83","country_code":"CN","type":"company","lineage":["https://openalex.org/I2800372957"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shui-ping Guo","raw_affiliation_strings":["Electronics Technology Group Corporation, The 7th Research Institute China, Guangzhou, China","Electronics Technology Group Corporation, The 7 Research Institute China, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Electronics Technology Group Corporation, The 7th Research Institute China, Guangzhou, China","institution_ids":["https://openalex.org/I2800372957"]},{"raw_affiliation_string":"Electronics Technology Group Corporation, The 7 Research Institute China, Guangzhou, China","institution_ids":["https://openalex.org/I2800372957"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089327541","display_name":"Zhi Xu","orcid":"https://orcid.org/0000-0001-8665-1020"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Xu","raw_affiliation_strings":["Guangxi Key Laboratory of Image, Graphics and Intelligent Processing, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Image, Graphics and Intelligent Processing, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101665147","display_name":"Wu Xie","orcid":"https://orcid.org/0000-0002-9300-833X"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Xie","raw_affiliation_strings":["Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100711016","display_name":"Jinlong Chen","orcid":"https://orcid.org/0000-0002-5915-9150"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin-long Chen","raw_affiliation_strings":["Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014075636","display_name":"Xian-jun Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian-jun Chen","raw_affiliation_strings":["Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5008213911"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":null,"apc_paid":null,"fwci":0.3037,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60095839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"262","last_page":"267"},"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":0.9998999834060669,"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/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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9987000226974487,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9732000231742859,"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":0.7375818490982056},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6040253639221191},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5764402151107788},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5758817195892334},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5014216899871826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4627426266670227},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.41696473956108093},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3745037913322449},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3351498246192932},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15364399552345276},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.13215965032577515}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7375818490982056},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6040253639221191},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5764402151107788},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5758817195892334},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5014216899871826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4627426266670227},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.41696473956108093},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3745037913322449},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3351498246192932},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15364399552345276},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.13215965032577515},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaci.2019.8778549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2019.8778549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eleventh International Conference on Advanced Computational Intelligence (ICACI)","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":20,"referenced_works":["https://openalex.org/W1660390307","https://openalex.org/W1913628733","https://openalex.org/W1939575207","https://openalex.org/W1974647172","https://openalex.org/W1992371516","https://openalex.org/W2069870183","https://openalex.org/W2097117768","https://openalex.org/W2155803963","https://openalex.org/W2162006472","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2411707397","https://openalex.org/W2508837377","https://openalex.org/W2791305510","https://openalex.org/W6648560114","https://openalex.org/W6682859755","https://openalex.org/W6684191040","https://openalex.org/W6697214482","https://openalex.org/W6725199262","https://openalex.org/W6749311204"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2498789492","https://openalex.org/W2729981612","https://openalex.org/W4233449973","https://openalex.org/W3210945214","https://openalex.org/W4281697769","https://openalex.org/W4313148594"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"increasing":[3],"deep":[4,19,107],"hashing":[5,108],"methods":[6],"have":[7],"been":[8],"applied":[9],"in":[10,16,61,84],"large-scale":[11],"multi-label":[12,40,75,86,100,166],"image":[13],"retrieval.":[14],"However,":[15],"the":[17,22,29,34,70,91,96,119,122,136,143,146,158,170,174],"existing":[18,81],"network":[20,93,128,132],"models,":[21],"extracted":[23],"low-level":[24,139],"features":[25,112,140],"cannot":[26,50],"effectively":[27],"integrate":[28],"multi-level":[30,82],"semantic":[31,77],"information":[32,37],"and":[33,54,113,129,187],"similarity":[35,83],"ranking":[36],"of":[38,73,99,138],"pairwise":[39,74],"images":[41,76,101],"into":[42],"one":[43,120],"hash":[44],"coding":[45],"learning":[46],"scheme.":[47],"Therefore,":[48],"we":[49,64,89,104],"obtain":[51],"an":[52],"efficient":[53],"accurate":[55],"index":[56],"method.":[57],"Motivated":[58],"by":[59,151,185],"this,":[60],"this":[62],"paper,":[63],"proposed":[65],"a":[66,85,106,126,152],"novel":[67],"approach":[68],"adopting":[69],"cosine":[71],"distance":[72],"vector":[78],"to":[79,94,110,134],"quantify":[80],"image.":[87],"Meanwhile,":[88],"utilized":[90],"residual":[92],"learn":[95],"final":[97],"representation":[98],"features.":[102],"Finally,":[103],"constructed":[105],"framework":[109],"extract":[111],"generate":[114],"binary":[115],"codes":[116],"simultaneously.":[117],"On":[118,142],"hand,":[121,145],"improved":[123,147,171,184],"model":[124,148,172],"uses":[125],"deeper":[127],"more":[130],"complex":[131],"structures":[133],"enhance":[135],"ability":[137],"extraction.":[141],"other":[144],"was":[149],"trained":[150],"fine-tuning":[153],"strategy,":[154],"which":[155],"can":[156],"accelerate":[157],"convergence":[159],"speed.":[160],"Extensive":[161],"experiments":[162],"on":[163,190],"two":[164,191],"popular":[165],"datasets":[167],"demonstrate":[168],"that":[169],"outperforms":[173],"reference":[175],"models":[176],"regarding":[177],"accuracy.":[178],"The":[179],"mean":[180],"average":[181],"precision":[182],"is":[183],"1.0432":[186],"1.1114":[188],"times":[189],"datasets,":[192],"respectively.":[193]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}