{"id":"https://openalex.org/W4413146104","doi":"https://doi.org/10.1109/cvpr52734.2025.01421","title":"Learning Compatible Multi-Prize Subnetworks for Asymmetric Retrieval","display_name":"Learning Compatible Multi-Prize Subnetworks for Asymmetric Retrieval","publication_year":2025,"publication_date":"2025-06-10","ids":{"openalex":"https://openalex.org/W4413146104","doi":"https://doi.org/10.1109/cvpr52734.2025.01421"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52734.2025.01421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.01421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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":null,"display_name":"Yushuai Sun","orcid":null},"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":"Yushuai Sun","raw_affiliation_strings":["Harbin Institute of Technology,Shenzhen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Shenzhen","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050372966","display_name":"Zikun Zhou","orcid":"https://orcid.org/0000-0003-2612-0353"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zikun Zhou","raw_affiliation_strings":["Pengcheng Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069806352","display_name":"Dongmei Jiang","orcid":"https://orcid.org/0000-0001-9309-308X"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongmei Jiang","raw_affiliation_strings":["Pengcheng Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100631216","display_name":"Yaowei Wang","orcid":"https://orcid.org/0000-0003-2197-9038"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaowei Wang","raw_affiliation_strings":["Pengcheng Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050817770","display_name":"Jun Yu","orcid":"https://orcid.org/0000-0003-1922-7283"},"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":"Jun Yu","raw_affiliation_strings":["Harbin Institute of Technology,Shenzhen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Shenzhen","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010406238","display_name":"Guangming Lu","orcid":"https://orcid.org/0000-0003-1149-5734"},"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":"Guangming Lu","raw_affiliation_strings":["Harbin Institute of Technology,Shenzhen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Shenzhen","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078487642","display_name":"Wenjie Pei","orcid":"https://orcid.org/0000-0001-8117-2696"},"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":"Wenjie Pei","raw_affiliation_strings":["Harbin Institute of Technology,Shenzhen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Shenzhen","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"15255","last_page":"15264"},"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":0.9729999899864197,"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":0.9729999899864197,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9617000222206116,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9519000053405762,"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":0.7469437718391418},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5065418481826782},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39915207028388977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7469437718391418},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5065418481826782},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39915207028388977}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52734.2025.01421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.01421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329791","display_name":"Shenzhen Fundamental Research Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Asymmetric":[0],"retrieval":[1,8,61],"is":[2,75],"a":[3,56,88,113,140,149],"typical":[4],"scenario":[5],"in":[6,143],"real-world":[7],"systems,":[9,62],"where":[10],"compatible":[11,40,76,98,144,166],"models":[12,79],"of":[13,112,119,134,179],"varying":[14],"capacities":[15,33,138],"are":[16],"deployed":[17],"on":[18,170],"platforms":[19],"with":[20,32,77,91],"different":[21,137],"resource":[22],"configurations.":[23],"Existing":[24],"methods":[25,44],"generally":[26],"train":[27,66],"pre-defined":[28],"networks":[29],"or":[30],"subnetworks":[31,99,135,164],"specifically":[34],"designed":[35],"for":[36,49],"pre-determined":[37],"platforms,":[38],"using":[39],"learning.":[41,82,145,167],"Nevertheless,":[42],"these":[43],"suffer":[45],"from":[46],"limited":[47],"flexibility":[48],"multi-platform":[50],"deployment.":[51],"For":[52],"example,":[53],"when":[54],"introducing":[55],"new":[57,121],"platform":[58,122],"into":[59],"the":[60,110,117,120,130,156,160,177],"developers":[63,95],"have":[64],"to":[65,96,154],"an":[67,71],"additional":[68,124],"model":[69],"at":[70,100,136],"appropriate":[72],"capacity":[73,103],"that":[74],"existing":[78],"via":[80],"backward-compatible":[81],"In":[83],"this":[84],"paper,":[85],"we":[86,127],"propose":[87],"Prunable":[89],"Network":[90],"self-compatibility,":[92],"which":[93],"allows":[94,109],"generate":[97],"any":[101],"desired":[102],"through":[104],"post-training":[105],"pruning.":[106],"Thus":[107],"it":[108],"creation":[111],"sparse":[114],"subnetwork":[115],"matching":[116],"resources":[118],"without":[123],"training.":[125],"Specifically,":[126],"optimize":[128],"both":[129],"architecture":[131],"and":[132,163,173],"weight":[133],"within":[139],"dense":[141,161],"network":[142,162],"We":[146],"also":[147],"design":[148],"conflict-aware":[150],"gradient":[151,157],"integration":[152],"scheme":[153],"handle":[155],"conflicts":[158],"between":[159],"during":[165],"Extensive":[168],"experiments":[169],"diverse":[171],"benchmarks":[172],"visual":[174],"backbones":[175],"demonstrate":[176],"effectiveness":[178],"our":[180],"method.":[181],"The":[182],"code":[183],"will":[184],"be":[185],"made":[186],"publicly":[187],"available.":[188]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}