{"id":"https://openalex.org/W4396594821","doi":"https://doi.org/10.1109/tmm.2024.3395969","title":"Dual Self-Paced Hashing for Image Retrieval","display_name":"Dual Self-Paced Hashing for Image Retrieval","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396594821","doi":"https://doi.org/10.1109/tmm.2024.3395969"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3395969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3395969","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-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/A5072882913","display_name":"Yuan Sun","orcid":"https://orcid.org/0000-0002-9376-7248"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan Sun","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773501","display_name":"Yang Qin","orcid":"https://orcid.org/0000-0001-8066-5800"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Qin","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027770821","display_name":"Dezhong Peng","orcid":"https://orcid.org/0000-0002-0987-8472"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dezhong Peng","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068223297","display_name":"Zhenwen Ren","orcid":"https://orcid.org/0000-0003-3791-9750"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenwen Ren","raw_affiliation_strings":["Department of National Defence Science and Technology, Southwest University of Science and Technology, Mianyang, China"],"affiliations":[{"raw_affiliation_string":"Department of National Defence Science and Technology, Southwest University of Science and Technology, Mianyang, China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114321221","display_name":"Chao Yang","orcid":"https://orcid.org/0000-0002-7922-5557"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Yang","raw_affiliation_strings":["Department of National Defence Science and Technology, Southwest University of Science and Technology, Mianyang, China"],"affiliations":[{"raw_affiliation_string":"Department of National Defence Science and Technology, Southwest University of Science and Technology, Mianyang, China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082233466","display_name":"Peng Hu","orcid":"https://orcid.org/0000-0003-3868-3997"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Hu","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5072882913"],"corresponding_institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210125143"],"apc_list":null,"apc_paid":null,"fwci":3.4644,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.93692308,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"26","issue":null,"first_page":"9619","last_page":"9629"},"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":1.0,"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":1.0,"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":0.9968000054359436,"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":0.9908000230789185,"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":0.8352293372154236},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6470426321029663},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6026490926742554},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.5015835762023926},{"id":"https://openalex.org/keywords/hamming-space","display_name":"Hamming space","score":0.49622422456741333},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.4460749924182892},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.44225162267684937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4310927391052246},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4302537143230438},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3028942942619324},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.3011322021484375},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.2993893623352051},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.12735170125961304},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.08715572953224182},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08577162027359009}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8352293372154236},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6470426321029663},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6026490926742554},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.5015835762023926},{"id":"https://openalex.org/C2779494224","wikidata":"https://www.wikidata.org/wiki/Q5645799","display_name":"Hamming space","level":5,"score":0.49622422456741333},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.4460749924182892},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.44225162267684937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4310927391052246},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4302537143230438},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3028942942619324},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.3011322021484375},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.2993893623352051},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.12735170125961304},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.08715572953224182},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08577162027359009},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3395969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3395969","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5299999713897705},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G1888566685","display_name":null,"funder_award_id":"2023-XT00-00004-GX","funder_id":"https://openalex.org/F4320336736","funder_display_name":"Chengdu Science and Technology Program"},{"id":"https://openalex.org/G2732457500","display_name":null,"funder_award_id":"62372315","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8990571387","display_name":null,"funder_award_id":"62102274","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"},{"id":"https://openalex.org/F4320336736","display_name":"Chengdu Science and Technology Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1910300841","https://openalex.org/W1950117310","https://openalex.org/W2510911086","https://openalex.org/W2594227027","https://openalex.org/W2793456900","https://openalex.org/W2798762763","https://openalex.org/W2832876791","https://openalex.org/W2897641604","https://openalex.org/W2922521335","https://openalex.org/W2944466654","https://openalex.org/W2963323172","https://openalex.org/W2965887165","https://openalex.org/W2974497444","https://openalex.org/W2975761438","https://openalex.org/W2979667596","https://openalex.org/W2981938443","https://openalex.org/W2999412666","https://openalex.org/W3013615455","https://openalex.org/W3017320855","https://openalex.org/W3025665229","https://openalex.org/W3027559642","https://openalex.org/W3034239448","https://openalex.org/W3035237306","https://openalex.org/W3093826451","https://openalex.org/W3095469680","https://openalex.org/W3110103492","https://openalex.org/W3142849873","https://openalex.org/W3154992183","https://openalex.org/W3176137053","https://openalex.org/W3179856907","https://openalex.org/W3184420582","https://openalex.org/W3204426932","https://openalex.org/W4200200221","https://openalex.org/W4200234862","https://openalex.org/W4220690485","https://openalex.org/W4220787625","https://openalex.org/W4220867825","https://openalex.org/W4220869173","https://openalex.org/W4220985831","https://openalex.org/W4226333663","https://openalex.org/W4241492945","https://openalex.org/W4282937884","https://openalex.org/W4286567486","https://openalex.org/W4289792716","https://openalex.org/W4321488152","https://openalex.org/W4323338305","https://openalex.org/W4375801803","https://openalex.org/W4386914241","https://openalex.org/W4387968356","https://openalex.org/W4389352357","https://openalex.org/W4391216107","https://openalex.org/W6681077227","https://openalex.org/W6696851070","https://openalex.org/W6776961436"],"related_works":["https://openalex.org/W1966523540","https://openalex.org/W2981938443","https://openalex.org/W2371167013","https://openalex.org/W2613408642","https://openalex.org/W2080892006","https://openalex.org/W2144265691","https://openalex.org/W2122308665","https://openalex.org/W2041878876","https://openalex.org/W4297909034","https://openalex.org/W2797819729"],"abstract_inverted_index":{"In":[0,59],"recent":[1],"years,":[2],"image":[3,94],"hashing":[4,27,209],"has":[5,232],"attracted":[6],"more":[7,9,178],"and":[8,21,38,78,130,143,155,168,180,223],"attention":[10],"in":[11,52,72,185],"practical":[12],"retrieval":[13],"applications":[14],"due":[15],"to":[16,74,106,113,123,135,160,189,206,219],"its":[17],"low":[18],"storage":[19],"cost":[20],"high":[22],"query":[23],"speed.":[24],"Although":[25],"existing":[26],"methods":[28],"have":[29],"achieved":[30],"promising":[31],"performance,":[32],"they":[33],"always":[34],"treat":[35],"both":[36,147],"easy":[37,122],"hard":[39],"points":[40],"without":[41],"discrimination,":[42],"thus":[43],"easily":[44],"getting":[45],"stuck":[46],"into":[47],"bad":[48],"local":[49],"minima,":[50],"especially":[51],"the":[53,117,137,141,162,173,198,221,226],"presence":[54],"of":[55,140,157,225],"noise":[56],"or":[57,204],"outliers.":[58],"this":[60,82],"paper,":[61],"we":[62,84,126],"reveal":[63],"that":[64],"there":[65],"exist":[66],"dual":[67,193],"difficulty":[68],"levels":[69],"hindering":[70],"binarization":[71],"learning":[73,119],"hash,":[75],"i.e.,":[76],"samples":[77,108,179],"bits.":[79,169],"To":[80],"overcome":[81],"problem,":[83],"propose":[85],"a":[86,133],"novel":[87],"Dual":[88],"Self-Paced":[89],"Hashing":[90],"method":[91],"(DSPH)":[92],"for":[93],"retrieval,":[95],"which":[96],"learns":[97],"binary":[98],"codes":[99],"by":[100,202],"not":[101],"only":[102],"evolving":[103],"from":[104,111,121,187],"\u2018easy\u2019":[105,112,188],"\u2018hard\u2019":[107,114,190],"but":[109],"also":[110],"bits,":[115],"mimicking":[116],"cognitive":[118],"process":[120],"difficult.":[124],"Specifically,":[125],"endow":[127],"each":[128],"sample":[129],"bit":[131],"with":[132],"weight":[134],"estimate":[136],"reliability/":[138],"ease":[139],"row":[142],"column,":[144],"respectively.":[145],"Then":[146],"sampleand":[148],"bit-level":[149],"weighting":[150],"are":[151,182,213],"conducted":[152,214],"on":[153,165,215],"rows":[154],"columns":[156],"Hamming":[158],"space":[159],"enforce":[161],"model":[163,176],"focus":[164],"reliable/easy":[166],"examples":[167],"By":[170],"gradually":[171],"increasing":[172],"weights":[174],"during":[175],"optimization,":[177],"bits":[181],"automatically":[183],"involved":[184],"training":[186],"via":[191],"our":[192],"self-paced":[194],"method,":[195],"thereby":[196],"alleviating":[197],"adverse":[199],"impact":[200],"caused":[201],"noises":[203],"outliers":[205],"learn":[207],"robust":[208],"models.":[210],"Extensive":[211],"experiments":[212],"four":[216],"benchmark":[217],"datasets":[218],"demonstrate":[220],"superiority":[222],"robustness":[224],"proposed":[227],"DSPH.":[228],"Our":[229],"source":[230],"code":[231],"been":[233],"released":[234],"at":[235],"<uri":[236],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[237],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/sunyuan-cs/DSPH.</uri>":[238]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
