{"id":"https://openalex.org/W4411232127","doi":"https://doi.org/10.1109/tcsvt.2025.3579007","title":"Dual-Depth Unified Joint Optimization: Adaptive Curvature-Based Compression","display_name":"Dual-Depth Unified Joint Optimization: Adaptive Curvature-Based Compression","publication_year":2025,"publication_date":"2025-06-12","ids":{"openalex":"https://openalex.org/W4411232127","doi":"https://doi.org/10.1109/tcsvt.2025.3579007"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2025.3579007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3579007","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5067798266","display_name":"Yunsong Li","orcid":"https://orcid.org/0000-0002-0234-6270"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunsong Li","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-0234-6270","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xin Zhang","orcid":"https://orcid.org/0009-0004-1868-3652"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhang","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0004-1868-3652","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052163069","display_name":"Weiying Xie","orcid":"https://orcid.org/0000-0001-8310-024X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiying Xie","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-8310-024X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaoyu Chen","orcid":"https://orcid.org/0009-0005-6904-1219"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Chen","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0005-6904-1219","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057418761","display_name":"Daixun Li","orcid":"https://orcid.org/0009-0006-8689-6929"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daixun Li","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0006-8689-6929","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068618763","display_name":"Hangyu Ye","orcid":"https://orcid.org/0009-0003-9544-1086"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hangyu Ye","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0003-9544-1086","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065061505","display_name":"Leyuan Fang","orcid":"https://orcid.org/0000-0003-2351-4461"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leyuan Fang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2351-4461","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12455425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":"11","first_page":"10959","last_page":"10972"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9325000047683716,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/joint","display_name":"Joint (building)","score":0.5849469304084778},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5305103659629822},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4644949734210968},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.46369919180870056},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4541272222995758},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.410214900970459},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.363788366317749},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3447008430957794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3402637839317322},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3279019892215729},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31452038884162903},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.21987506747245789},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.195110023021698},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13236916065216064},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10952219367027283}],"concepts":[{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5849469304084778},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5305103659629822},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4644949734210968},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.46369919180870056},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4541272222995758},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.410214900970459},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.363788366317749},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3447008430957794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3402637839317322},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3279019892215729},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31452038884162903},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.21987506747245789},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.195110023021698},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13236916065216064},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10952219367027283},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3579007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3579007","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1258948522","display_name":null,"funder_award_id":"ZYTS24101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4583694037","display_name":null,"funder_award_id":"U22B2014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5402131352","display_name":null,"funder_award_id":"62371365","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5457114622","display_name":null,"funder_award_id":"U24B20136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5721138531","display_name":null,"funder_award_id":"62322117","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":48,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1980038761","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2580772840","https://openalex.org/W2592962403","https://openalex.org/W2787091153","https://openalex.org/W2799197246","https://openalex.org/W2886934227","https://openalex.org/W2962858109","https://openalex.org/W2963125010","https://openalex.org/W2963827464","https://openalex.org/W3034513523","https://openalex.org/W3034714646","https://openalex.org/W3034997257","https://openalex.org/W3094502228","https://openalex.org/W3097304224","https://openalex.org/W3129936518","https://openalex.org/W3169770376","https://openalex.org/W3173648655","https://openalex.org/W3175169239","https://openalex.org/W3177196641","https://openalex.org/W3196438592","https://openalex.org/W3202230044","https://openalex.org/W4214633470","https://openalex.org/W4214774769","https://openalex.org/W4220934237","https://openalex.org/W4226426325","https://openalex.org/W4283815570","https://openalex.org/W4310593159","https://openalex.org/W4312600348","https://openalex.org/W4312872526","https://openalex.org/W4312929415","https://openalex.org/W4318586146","https://openalex.org/W4380520162","https://openalex.org/W4382458595","https://openalex.org/W4384159680","https://openalex.org/W4385245566","https://openalex.org/W4386072392","https://openalex.org/W4386083031","https://openalex.org/W4387790227","https://openalex.org/W4389925359","https://openalex.org/W4390397682","https://openalex.org/W4390873227","https://openalex.org/W4391468487","https://openalex.org/W4401210569","https://openalex.org/W4406258412"],"related_works":["https://openalex.org/W55883722","https://openalex.org/W2394379345","https://openalex.org/W2079726820","https://openalex.org/W3215763795","https://openalex.org/W4288816678","https://openalex.org/W1988570269","https://openalex.org/W2002924703","https://openalex.org/W1996130883","https://openalex.org/W2946668990","https://openalex.org/W2748574964"],"abstract_inverted_index":{"Model":[0],"compression":[1,34,67,81,213],"methods":[2,24,44],"such":[3],"as":[4],"pruning":[5,92,102],"and":[6,36,93,103,117,159,172,184,193],"quantization":[7,104],"have":[8,189],"been":[9],"proposed":[10],"to":[11,26,50,165],"facilitate":[12],"the":[13,28,42,51,66,96,101,111,118,125,130,135,145,167,173,191,208],"deployment":[14],"of":[15,41,53,91,114,121,169,175,195,215],"convolutional":[16],"neural":[17],"networks":[18],"(CNNs)":[19],"on":[20,180],"resource-constrained":[21],"devices.":[22],"Existing":[23],"aim":[25],"combine":[27],"two":[29],"for":[30],"simultaneous":[31],"improvement":[32,206],"in":[33,61,134],"ratio":[35,68,214],"runtime":[37],"efficiency.":[38],"However,":[39],"most":[40],"joint":[43,89,136],"adopt":[45],"linear":[46],"tandem":[47],"structures.":[48],"Due":[49],"lack":[52],"a":[54,77,86,149,202],"unified":[55,88],"framework,":[56],"different":[57],"optimization":[58,90],"directions":[59],"result":[60],"suboptimal":[62],"solutions,":[63],"especially":[64],"when":[65],"is":[69,157],"extremely":[70],"high.":[71],"In":[72,95,124],"this":[73],"paper,":[74],"we":[75,99,128,199],"propose":[76],"novel":[78],"adaptive":[79],"curvature-based":[80],"(ACC)":[82],"method,":[83],"which":[84,109],"achieves":[85],"dual-depth":[87],"quantization.":[94],"first":[97],"depth,":[98,127],"unify":[100],"criteria":[105],"using":[106],"mean":[107],"curvature,":[108],"leverages":[110],"discrete":[112],"nature":[113],"image":[115],"data":[116],"continuum":[119],"theory":[120],"differential":[122],"geometry.":[123],"second":[126],"replace":[129],"traditional":[131],"training":[132],"process":[133],"pruning-quantization":[137],"method":[138,156],"with":[139],"curvature-aware":[140],"knowledge":[141],"distillation":[142],"(CKD),":[143],"unifying":[144],"two-stage":[146],"approach":[147],"into":[148],"simple":[150],"but":[151],"powerful":[152],"parallel":[153],"step.":[154],"Our":[155],"effective":[158],"interpretable":[160],"by":[161],"utilizing":[162],"inherent":[163],"properties":[164],"promote":[166],"understanding":[168],"information":[170],"distribution":[171],"importance":[174],"feature":[176],"maps.":[177],"Extensive":[178],"experiments":[179],"multiple":[181],"advanced":[182],"benchmarks":[183],"diverse":[185],"downstream":[186],"task":[187],"datasets":[188],"validated":[190],"superiority":[192],"generalizability":[194],"our":[196],"ACC.":[197],"Notably,":[198],"can":[200],"achieve":[201],"1.05%":[203],"Top-1":[204],"accuracy":[205],"over":[207],"baseline":[209],"under":[210],"an":[211],"extreme":[212],"454.55\u00d7,":[216],"outperforming":[217],"existing":[218],"state-of-the-art":[219],"(SOTA)":[220],"methods.":[221]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
