{"id":"https://openalex.org/W2897800439","doi":"https://doi.org/10.1109/icme.2018.8486574","title":"Balance the Loss: Improving Deep Hash via Loss Weighting and Semantic Preserving","display_name":"Balance the Loss: Improving Deep Hash via Loss Weighting and Semantic Preserving","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2897800439","doi":"https://doi.org/10.1109/icme.2018.8486574","mag":"2897800439"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2018.8486574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2018.8486574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Multimedia and Expo (ICME)","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/A5087193137","display_name":"Quan Zhou","orcid":"https://orcid.org/0000-0002-7894-7929"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Zhou","raw_affiliation_strings":["Computer Application Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Application Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050911130","display_name":"Shuhan Qi","orcid":"https://orcid.org/0000-0002-6903-145X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhan Qi","raw_affiliation_strings":["Computer Application Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Application Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328995","display_name":"Xuan Wang","orcid":"https://orcid.org/0000-0002-3512-0649"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Wang","raw_affiliation_strings":["Computer Application Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Application Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059231561","display_name":"Jian Guan","orcid":"https://orcid.org/0000-0002-0945-1081"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Guan","raw_affiliation_strings":["Computer Application Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Application Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083311348","display_name":"Fengwei Jia","orcid":"https://orcid.org/0000-0002-1986-9174"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengwei Jia","raw_affiliation_strings":["Computer Application Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Application Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000732066","display_name":"Lin Yao","orcid":"https://orcid.org/0000-0003-2065-7280"},"institutions":[{"id":"https://openalex.org/I4210096887","display_name":"HKUST Shenzhen Research Institute","ror":"https://ror.org/00sz56h79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I200769079","https://openalex.org/I20231570","https://openalex.org/I4210096887","https://openalex.org/I4210147811"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Yao","raw_affiliation_strings":["Pku-hkust Shenzhen-Hongkong Institute, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pku-hkust Shenzhen-Hongkong Institute, Shenzhen, China","institution_ids":["https://openalex.org/I4210096887"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0761,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.38578868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"42","issue":null,"first_page":"1","last_page":"6"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980999827384949,"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":0.9861000180244446,"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/hash-function","display_name":"Hash function","score":0.8570493459701538},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.7510462999343872},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.7259399890899658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.699895977973938},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.6827939748764038},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.5951481461524963},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.5617318749427795},{"id":"https://openalex.org/keywords/linear-hashing","display_name":"Linear hashing","score":0.5352381467819214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5024764537811279},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.4671551585197449},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44623899459838867},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.44579577445983887},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.41333863139152527},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40978187322616577},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37112414836883545},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3563014268875122},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3556947112083435}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.8570493459701538},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.7510462999343872},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.7259399890899658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.699895977973938},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.6827939748764038},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.5951481461524963},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.5617318749427795},{"id":"https://openalex.org/C36375716","wikidata":"https://www.wikidata.org/wiki/Q6553456","display_name":"Linear hashing","level":5,"score":0.5352381467819214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5024764537811279},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.4671551585197449},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44623899459838867},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.44579577445983887},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.41333863139152527},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40978187322616577},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37112414836883545},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3563014268875122},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3556947112083435},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icme.2018.8486574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2018.8486574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-111816","is_oa":false,"landing_page_url":"https://repository.hkust.edu.hk/ir/Record/1783.1-111816","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-111816","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-111816","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1502916507","https://openalex.org/W1566135517","https://openalex.org/W1910300841","https://openalex.org/W1939575207","https://openalex.org/W1974647172","https://openalex.org/W1992371516","https://openalex.org/W2007972815","https://openalex.org/W2163605009","https://openalex.org/W2164338181","https://openalex.org/W2221852422","https://openalex.org/W2251864938","https://openalex.org/W2293597654","https://openalex.org/W2293824885","https://openalex.org/W2464915613","https://openalex.org/W2964280870","https://openalex.org/W3118608800","https://openalex.org/W6629956336","https://openalex.org/W6648560114","https://openalex.org/W6684181414","https://openalex.org/W6684191040","https://openalex.org/W6688844344","https://openalex.org/W6691474080","https://openalex.org/W6697060382","https://openalex.org/W6697214482"],"related_works":["https://openalex.org/W2023326318","https://openalex.org/W2000284985","https://openalex.org/W2783286101","https://openalex.org/W2964752363","https://openalex.org/W2921167217","https://openalex.org/W2088296667","https://openalex.org/W2166319090","https://openalex.org/W2893252848","https://openalex.org/W2985440808","https://openalex.org/W3017133364"],"abstract_inverted_index":{"Learning":[0],"to":[1,93,149],"hash":[2,13,26,52,72,134],"is":[3,91],"widely":[4],"used":[5],"in":[6,31,84],"approximate":[7],"nearest-neighbor":[8],"(ANN)":[9],"search.":[10],"However,":[11],"traditional":[12],"learning":[14,39,50],"methods,":[15],"which":[16,85,123],"split":[17],"the":[18,59,67,70,102,120,126,132,151],"hashing":[19,41,45,82,121],"into":[20,119],"two":[21,146],"parts:":[22],"feature":[23,49],"extraction":[24],"and":[25,51,105],"function":[27,90],"learning,":[28],"usually":[29],"result":[30],"a":[32,86,116],"low":[33],"retrieval":[34],"accuracy.":[35],"Although":[36],"existing":[37],"deep":[38,81],"based":[40],"methods":[42],"can":[43,124],"improve":[44],"quality":[46],"by":[47,58,101,129],"coupling":[48],"encoding,":[53],"they":[54],"are":[55,108,136,143],"always":[56],"affected":[57],"positive-negative":[60],"sample":[61,95],"imbalance":[62,96],"problem.":[63,97],"It":[64],"often":[65],"deteriorates":[66],"performance":[68,152],"of":[69,153],"generated":[71,100,133],"code.":[73],"In":[74],"this":[75],"paper,":[76],"we":[77,114],"propose":[78],"an":[79],"end-to-end":[80],"framework,":[83,122],"weighted":[87],"pairwise":[88],"loss":[89,99],"employed":[92],"alleviate":[94],"The":[98],"positive":[103],"pairs":[104,107],"negative":[106],"given":[109],"different":[110],"weights":[111],"automatically.":[112],"Moreover,":[113],"integrate":[115],"classification":[117],"network":[118],"preserve":[125],"semantic":[127],"information":[128],"making":[130],"sure":[131],"codes":[135],"also":[137],"optimal":[138],"for":[139],"classification.":[140],"Comparison":[141],"experiments":[142],"conducted":[144],"on":[145],"benchmark":[147],"datasets":[148],"demonstrate":[150],"our":[154],"proposed":[155],"approach.":[156]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}