{"id":"https://openalex.org/W4378194827","doi":"https://doi.org/10.1109/tmm.2023.3279990","title":"Deep Progressive Asymmetric Quantization Based on Causal Intervention for Fine-Grained Image Retrieval","display_name":"Deep Progressive Asymmetric Quantization Based on Causal Intervention for Fine-Grained Image Retrieval","publication_year":2023,"publication_date":"2023-05-25","ids":{"openalex":"https://openalex.org/W4378194827","doi":"https://doi.org/10.1109/tmm.2023.3279990"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2023.3279990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3279990","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/A5100771763","display_name":"Lei Ma","orcid":"https://orcid.org/0000-0002-8298-3703"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Ma","raw_affiliation_strings":["School of Electrical and Information Engineering, Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-8298-3703","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056606194","display_name":"Hanyu Hong","orcid":"https://orcid.org/0000-0003-3544-4472"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanyu Hong","raw_affiliation_strings":["School of Electrical and Information Engineering, Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3544-4472","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100617043","display_name":"Fanman Meng","orcid":"https://orcid.org/0000-0002-3016-2567"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanman Meng","raw_affiliation_strings":["School of Electronic Engineering, the Intelligent Visual Information Processing and Communication Laboratory, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-3016-2567","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, the Intelligent Visual Information Processing and Communication Laboratory, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075737786","display_name":"Qingbo Wu","orcid":"https://orcid.org/0000-0003-2936-6340"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingbo Wu","raw_affiliation_strings":["School of Electronic Engineering, the Intelligent Visual Information Processing and Communication Laboratory, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-2936-6340","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, the Intelligent Visual Information Processing and Communication Laboratory, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053355549","display_name":"Jinmeng Wu","orcid":"https://orcid.org/0000-0002-0264-8025"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinmeng Wu","raw_affiliation_strings":["School of Electrical and Information Engineering, Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0264-8025","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.124,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.9321447,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"26","issue":null,"first_page":"1306","last_page":"1318"},"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":0.9926999807357788,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8177344799041748},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7775620222091675},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6847546100616455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6575078964233398},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.569184422492981},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5428687334060669},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.4959329068660736},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4281194508075714},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41981565952301025},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2667521834373474},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16500914096832275}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8177344799041748},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7775620222091675},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6847546100616455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6575078964233398},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.569184422492981},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5428687334060669},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.4959329068660736},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4281194508075714},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41981565952301025},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2667521834373474},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16500914096832275},{"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/tmm.2023.3279990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3279990","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":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1261773974","display_name":null,"funder_award_id":"62201406","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5485401041","display_name":null,"funder_award_id":"62171329","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W1516659296","https://openalex.org/W1797268635","https://openalex.org/W1910300841","https://openalex.org/W1974647172","https://openalex.org/W1977182282","https://openalex.org/W1992371516","https://openalex.org/W2074668987","https://openalex.org/W2119913432","https://openalex.org/W2124509324","https://openalex.org/W2138011018","https://openalex.org/W2143891888","https://openalex.org/W2147717514","https://openalex.org/W2153273131","https://openalex.org/W2266728343","https://openalex.org/W2345812103","https://openalex.org/W2411707397","https://openalex.org/W2473499128","https://openalex.org/W2520799877","https://openalex.org/W2562322388","https://openalex.org/W2565993688","https://openalex.org/W2576489887","https://openalex.org/W2604880013","https://openalex.org/W2612535084","https://openalex.org/W2620629206","https://openalex.org/W2803649140","https://openalex.org/W2882999943","https://openalex.org/W2891951760","https://openalex.org/W2897656415","https://openalex.org/W2899309051","https://openalex.org/W2904710026","https://openalex.org/W2917742317","https://openalex.org/W2949710344","https://openalex.org/W2961018736","https://openalex.org/W2962786441","https://openalex.org/W2962952237","https://openalex.org/W2962989163","https://openalex.org/W2963090248","https://openalex.org/W2964280870","https://openalex.org/W2966153044","https://openalex.org/W2966196493","https://openalex.org/W2972421866","https://openalex.org/W2981317786","https://openalex.org/W2987279054","https://openalex.org/W2988283545","https://openalex.org/W2990495699","https://openalex.org/W2990802905","https://openalex.org/W3004002731","https://openalex.org/W3005359536","https://openalex.org/W3008809756","https://openalex.org/W3011666149","https://openalex.org/W3018658244","https://openalex.org/W3033847084","https://openalex.org/W3034382172","https://openalex.org/W3035367622","https://openalex.org/W3108682246","https://openalex.org/W3108870912","https://openalex.org/W3116704196","https://openalex.org/W3117229751","https://openalex.org/W3123272955","https://openalex.org/W3128999341","https://openalex.org/W3135611392","https://openalex.org/W3171353004","https://openalex.org/W3195103026","https://openalex.org/W3195399086","https://openalex.org/W4214519690","https://openalex.org/W4226392681","https://openalex.org/W4288622677","https://openalex.org/W6605707561","https://openalex.org/W6629956336","https://openalex.org/W6638319203","https://openalex.org/W6681077227","https://openalex.org/W6688152296","https://openalex.org/W6691474080","https://openalex.org/W6697214482","https://openalex.org/W6728449338","https://openalex.org/W6756444276","https://openalex.org/W6759000249","https://openalex.org/W6771083577","https://openalex.org/W6784163774"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374"],"abstract_inverted_index":{"In":[0,22],"the":[1,16,24,35,40,76,81,90,99,112,167,174,179,187,216,221,230],"field":[2],"of":[3,86,93],"computer":[4],"vision,":[5],"fine-grained":[6,31,48,70,94,135,155,188,210,224,233],"image":[7,32,49,71,136,189,211,225],"retrieval":[8,36,50,72,137,192,212,226],"is":[9],"an":[10,195],"extremely":[11],"challenging":[12],"task":[13,227],"due":[14,74],"to":[15,75,98,128,146],"inherently":[17],"subtle":[18],"intra-class":[19],"object":[20],"variations.":[21],"addition,":[23],"high-dimensional":[25],"real-valued":[26],"features":[27,109,150],"extracted":[28],"from":[29],"large-scale":[30],"datasets":[33,213],"slow":[34],"speed":[37],"and":[38,63,80,84,102,110,131,177,191,203,228],"increase":[39],"storage":[41],"cost.":[42],"To":[43,105],"solve":[44],"above":[45],"issues,":[46],"existing":[47],"methods":[51,235],"mainly":[52,96],"focus":[53],"on":[54,125,208],"finding":[55],"more":[56],"discriminative":[57,62,87,100],"local":[58],"regions":[59],"for":[60,134,154,200,223],"generating":[61,201],"compact":[64,130,204],"hash":[65],"codes,":[66],"which":[67,171],"achieve":[68],"limited":[69],"performance":[73],"large":[77,238],"quantization":[78,113,121,164,180],"errors":[79,181],"confounding":[82],"granularities":[83],"context":[85],"parts,":[88],"i.e.,":[89],"correct":[91],"recognition":[92],"objects":[95],"attribute":[97],"parts":[101],"their":[103],"context.":[104],"learn":[106,129,147],"robust":[107,132,148,202],"causal":[108,126,144,152],"reduce":[111,178],"errors,":[114],"we":[115,140,159,184],"propose":[116],"a":[117,142,161,237],"deep":[118,197],"progressive":[119,162],"asymmetric":[120,163],"(DPAQ)":[122],"method":[123,219],"based":[124],"intervention":[127,153],"descriptions":[133],"task.":[138],"Specifically,":[139],"introduce":[141],"structural":[143],"model":[145],"casual":[149],"via":[151],"visual":[156],"recognition.":[157],"Subsequently,":[158],"design":[160],"layer":[165],"in":[166],"feature":[168],"embedding":[169],"space,":[170],"can":[172],"preserve":[173],"semantic":[175],"information":[176],"sufficiently.":[182],"Finally,":[183],"incorporate":[185],"both":[186],"classification":[190],"tasks":[193],"into":[194],"end-to-end":[196],"learning":[198],"architecture":[199],"descriptions.":[205],"Experimental":[206],"results":[207],"several":[209],"demonstrate":[214],"that":[215],"proposed":[217],"DPAQ":[218],"performs":[220],"best":[222],"surpasses":[229],"state-of-the":[231],"art":[232],"hashing":[234],"by":[236],"margin.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}