{"id":"https://openalex.org/W3011666149","doi":"https://doi.org/10.1109/tip.2020.2971105","title":"Deep Saliency Hashing for Fine-Grained Retrieval","display_name":"Deep Saliency Hashing for Fine-Grained Retrieval","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3011666149","doi":"https://doi.org/10.1109/tip.2020.2971105","mag":"3011666149","pmid":"https://pubmed.ncbi.nlm.nih.gov/32191885"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.2971105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.2971105","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5001871038","display_name":"Sheng Jin","orcid":"https://orcid.org/0000-0001-7254-1664"},"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":"Sheng Jin","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-7254-1664","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023274785","display_name":"Hongxun Yao","orcid":"https://orcid.org/0000-0003-3298-2574"},"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":"Hongxun Yao","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-3298-2574","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059926864","display_name":"Xiaoshuai Sun","orcid":"https://orcid.org/0000-0003-3912-9306"},"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":"Xiaoshuai Sun","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-3912-9306","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023785888","display_name":"Shangchen Zhou","orcid":"https://orcid.org/0000-0001-8201-8877"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shangchen Zhou","raw_affiliation_strings":["SenseTime Research"],"raw_orcid":"https://orcid.org/0000-0001-8201-8877","affiliations":[{"raw_affiliation_string":"SenseTime Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433899","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-2078-4215"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Damo Academy, Alibaba Group, Hangzhou, China","The Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-2078-4215","affiliations":[{"raw_affiliation_string":"Damo Academy, Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024965898","display_name":"Xian\u2010Sheng Hua","orcid":"https://orcid.org/0000-0002-8232-5049"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiansheng Hua","raw_affiliation_strings":["Damo Academy, Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Damo Academy, Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.9292,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.94875864,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"29","issue":null,"first_page":"5336","last_page":"5351"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9973999857902527,"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":0.9965999722480774,"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":0.7996149063110352},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7605850100517273},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7411907911300659},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5899408459663391},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5742768049240112},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5388343930244446},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.48553845286369324},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46132415533065796},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.45602840185165405},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.38651150465011597},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2828257977962494},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.17511022090911865},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12825173139572144}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7996149063110352},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7605850100517273},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7411907911300659},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5899408459663391},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5742768049240112},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5388343930244446},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.48553845286369324},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46132415533065796},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.45602840185165405},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.38651150465011597},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2828257977962494},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.17511022090911865},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12825173139572144},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2020.2971105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.2971105","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:32191885","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32191885","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6899999976158142,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G5121664804","display_name":null,"funder_award_id":"U1711265","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6416168724","display_name":null,"funder_award_id":"61772158","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8507526577","display_name":null,"funder_award_id":"61702136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W56385144","https://openalex.org/W639708223","https://openalex.org/W1590510366","https://openalex.org/W1686810756","https://openalex.org/W1797268635","https://openalex.org/W1903029394","https://openalex.org/W1910300841","https://openalex.org/W1913628733","https://openalex.org/W1923967535","https://openalex.org/W1928906481","https://openalex.org/W1939575207","https://openalex.org/W1951304353","https://openalex.org/W1974647172","https://openalex.org/W1992371516","https://openalex.org/W1996936615","https://openalex.org/W2007972815","https://openalex.org/W2113307832","https://openalex.org/W2122205543","https://openalex.org/W2135957164","https://openalex.org/W2145065594","https://openalex.org/W2145307410","https://openalex.org/W2150856297","https://openalex.org/W2153273131","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/W2306952455","https://openalex.org/W2462457117","https://openalex.org/W2464915613","https://openalex.org/W2493727926","https://openalex.org/W2508837377","https://openalex.org/W2562322388","https://openalex.org/W2583528645","https://openalex.org/W2605439166","https://openalex.org/W2737652487","https://openalex.org/W2737725206","https://openalex.org/W2738649458","https://openalex.org/W2766471938","https://openalex.org/W2773003563","https://openalex.org/W2798834175","https://openalex.org/W2807931652","https://openalex.org/W2887554748","https://openalex.org/W2897656415","https://openalex.org/W2913932916","https://openalex.org/W2963001870","https://openalex.org/W2963090248","https://openalex.org/W2963398644","https://openalex.org/W2963540428","https://openalex.org/W2963637710","https://openalex.org/W2964036919","https://openalex.org/W2964304299","https://openalex.org/W3101705353","https://openalex.org/W3103722964","https://openalex.org/W3106411919","https://openalex.org/W3118608800","https://openalex.org/W3124951096","https://openalex.org/W6602324145","https://openalex.org/W6620707391","https://openalex.org/W6635258101","https://openalex.org/W6640376812","https://openalex.org/W6640412524","https://openalex.org/W6648560114","https://openalex.org/W6676931166","https://openalex.org/W6678246256","https://openalex.org/W6680437723","https://openalex.org/W6684181414","https://openalex.org/W6684191040","https://openalex.org/W6688152296","https://openalex.org/W6688844344","https://openalex.org/W6691474080","https://openalex.org/W6697060382","https://openalex.org/W6697214482","https://openalex.org/W6698041030","https://openalex.org/W6725199262","https://openalex.org/W6730864085","https://openalex.org/W6733567194","https://openalex.org/W6752285806","https://openalex.org/W6753761035","https://openalex.org/W6755679164","https://openalex.org/W6787972765","https://openalex.org/W6790300624"],"related_works":["https://openalex.org/W4381744218","https://openalex.org/W2767764284","https://openalex.org/W2144265691","https://openalex.org/W2059244188","https://openalex.org/W2035647105","https://openalex.org/W1981124010","https://openalex.org/W3192025065","https://openalex.org/W3087964089","https://openalex.org/W4205587245","https://openalex.org/W4211126162"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"hashing":[3,22,60,68,73,83,99,200],"methods":[4,23,201],"have":[5,24,38],"been":[6],"proved":[7],"to":[8,55,131,197],"be":[9],"effective":[10],"and":[11,80,97,115,145,162,177,190,204],"efficient":[12],"for":[13,28,47,149,172],"large-scale":[14],"Web":[15],"media":[16],"search.":[17],"However,":[18],"the":[19,48,52,56,109,112,116,120,124,128,170,173,179],"existing":[20],"general":[21,146],"limited":[25],"discriminative":[26,133],"power":[27],"describing":[29],"fine-grained":[30,59,144,155,174],"objects":[31],"that":[32,166],"share":[33],"similar":[34],"overall":[35],"appearance":[36],"but":[37],"a":[39,65,88,98],"subtle":[40],"difference.":[41],"To":[42],"solve":[43],"this":[44],"problem,":[45],"we":[46,63],"first":[49],"time":[50],"introduce":[51],"attention":[53,95,129],"mechanism":[54],"learning":[57],"of":[58,93,122,137],"codes.":[61],"Specifically,":[62],"propose":[64],"novel":[66],"deep":[67,71],"model,":[69],"named":[70],"saliency":[72,113,125],"(DSaH),":[74],"which":[75],"automatically":[76],"mines":[77],"salient":[78],"regions":[79,134],"learns":[81],"semantic-preserving":[82],"codes":[84],"simultaneously.":[85],"DSaH":[86,168,193],"is":[87,194],"two-step":[89],"end-to-end":[90],"model":[91],"consisting":[92],"an":[94],"network":[96,130],"network.":[100],"Our":[101],"loss":[102,126],"function":[103],"contains":[104],"three":[105],"basic":[106],"components,":[107],"including":[108,157],"semantic":[110],"loss,":[111,114],"quantization":[117],"loss.":[118],"As":[119],"core":[121],"DSaH,":[123],"guides":[127],"mine":[132],"from":[135],"pairs":[136],"images.We":[138],"conduct":[139],"extensive":[140],"experiments":[141],"on":[142,154,186,202],"both":[143,187],"retrieval":[147,175],"datasets":[148],"performance":[150],"evaluation.":[151],"Experimental":[152],"results":[153],"datasets,":[156],"Oxford":[158],"Flowers,":[159],"Stanford":[160,188],"Dogs,":[161],"CUB":[163,191],"Birds":[164],"demonstrate":[165],"our":[167],"performs":[169],"best":[171],"task":[176],"beats":[178],"strongest":[180],"competitor":[181],"(DTQ)":[182],"by":[183],"approximately":[184],"10%":[185],"Dogs":[189],"Birds.":[192],"also":[195],"comparable":[196],"several":[198],"state-of-the-art":[199],"CIFAR-10":[203],"NUS-WIDE.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
