{"id":"https://openalex.org/W4403722751","doi":"https://doi.org/10.1109/tcsvt.2024.3485820","title":"CSDet: A Compressed Sensing Object Detection Architecture With Lightweight Networks","display_name":"CSDet: A Compressed Sensing Object Detection Architecture With Lightweight Networks","publication_year":2024,"publication_date":"2024-10-24","ids":{"openalex":"https://openalex.org/W4403722751","doi":"https://doi.org/10.1109/tcsvt.2024.3485820"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3485820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3485820","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/A5038348323","display_name":"Xiaoqian Huang","orcid":"https://orcid.org/0000-0001-6201-6567"},"institutions":[{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoqian Huang","raw_affiliation_strings":["China Nanhu Academy of Electronics and Information Technology, Jiaxing, China"],"raw_orcid":"https://orcid.org/0000-0001-6201-6567","affiliations":[{"raw_affiliation_string":"China Nanhu Academy of Electronics and Information Technology, Jiaxing, China","institution_ids":["https://openalex.org/I4210130112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101936489","display_name":"Yong Gong","orcid":"https://orcid.org/0000-0001-7059-1174"},"institutions":[{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Gong","raw_affiliation_strings":["China Nanhu Academy of Electronics and Information Technology, Jiaxing, China"],"raw_orcid":"https://orcid.org/0000-0001-7059-1174","affiliations":[{"raw_affiliation_string":"China Nanhu Academy of Electronics and Information Technology, Jiaxing, China","institution_ids":["https://openalex.org/I4210130112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085196436","display_name":"Wenhao Wu","orcid":"https://orcid.org/0000-0002-8573-7989"},"institutions":[{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhao Wu","raw_affiliation_strings":["China Nanhu Academy of Electronics and Information Technology, Jiaxing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Nanhu Academy of Electronics and Information Technology, Jiaxing, China","institution_ids":["https://openalex.org/I4210130112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000205764","display_name":"Saike Zhu","orcid":"https://orcid.org/0009-0008-0300-9496"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Saike Zhu","raw_affiliation_strings":["College of Electronic Engineering and Information Science, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0008-0300-9496","affiliations":[{"raw_affiliation_string":"College of Electronic Engineering and Information Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100458737","display_name":"Yi Zhao","orcid":"https://orcid.org/0000-0003-2803-0933"},"institutions":[{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhao","raw_affiliation_strings":["China Nanhu Academy of Electronics and Information Technology, Jiaxing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Nanhu Academy of Electronics and Information Technology, Jiaxing, China","institution_ids":["https://openalex.org/I4210130112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5038348323"],"corresponding_institution_ids":["https://openalex.org/I4210130112"],"apc_list":null,"apc_paid":null,"fwci":0.7833,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72638797,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"35","issue":"3","first_page":"2355","last_page":"2368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9901999831199646,"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":0.9876999855041504,"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":0.7753937840461731},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5731311440467834},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5280084609985352},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42235782742500305},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40798789262771606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40337038040161133},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.23694446682929993}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7753937840461731},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5731311440467834},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5280084609985352},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42235782742500305},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40798789262771606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40337038040161133},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.23694446682929993},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3485820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3485820","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/G1500950123","display_name":null,"funder_award_id":"U23B2040","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6498058358","display_name":null,"funder_award_id":"2022C01098","funder_id":"https://openalex.org/F4320338469","funder_display_name":"Science and Technology Program of Zhejiang Province"},{"id":"https://openalex.org/G7789095364","display_name":null,"funder_award_id":"2020AAA0109001","funder_id":"https://openalex.org/F4320338469","funder_display_name":"Science and Technology Program of Zhejiang Province"},{"id":"https://openalex.org/G8190420759","display_name":null,"funder_award_id":"U23B2040","funder_id":"https://openalex.org/F4320338469","funder_display_name":"Science and Technology Program of Zhejiang Province"},{"id":"https://openalex.org/G8736548684","display_name":null,"funder_award_id":"2020AAA0109001","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320338469","display_name":"Science and Technology Program of Zhejiang Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1828462930","https://openalex.org/W1861492603","https://openalex.org/W1930824406","https://openalex.org/W1956120499","https://openalex.org/W1970185025","https://openalex.org/W2030449718","https://openalex.org/W2038190601","https://openalex.org/W2045737896","https://openalex.org/W2047920195","https://openalex.org/W2104266187","https://openalex.org/W2110158442","https://openalex.org/W2121927366","https://openalex.org/W2126131432","https://openalex.org/W2129638195","https://openalex.org/W2219727625","https://openalex.org/W2273561594","https://openalex.org/W2277192409","https://openalex.org/W2331128040","https://openalex.org/W2345681014","https://openalex.org/W2476548250","https://openalex.org/W2507148354","https://openalex.org/W2517723848","https://openalex.org/W2570343428","https://openalex.org/W2592021490","https://openalex.org/W2762145983","https://openalex.org/W2798559986","https://openalex.org/W2889933451","https://openalex.org/W2897900009","https://openalex.org/W2913890194","https://openalex.org/W2951751271","https://openalex.org/W2963037989","https://openalex.org/W2963081547","https://openalex.org/W2963341393","https://openalex.org/W2979473749","https://openalex.org/W3012002796","https://openalex.org/W3018622322","https://openalex.org/W3018757597","https://openalex.org/W3039313173","https://openalex.org/W3042011474","https://openalex.org/W3084306245","https://openalex.org/W3096609285","https://openalex.org/W3112487734","https://openalex.org/W3131193104","https://openalex.org/W3204102174","https://openalex.org/W4200596895","https://openalex.org/W4225576932","https://openalex.org/W4250955649","https://openalex.org/W4288054364","https://openalex.org/W4297676427","https://openalex.org/W4313524890","https://openalex.org/W4320015860","https://openalex.org/W4360898382","https://openalex.org/W4386766779","https://openalex.org/W4403770406","https://openalex.org/W6637373629","https://openalex.org/W6750227808","https://openalex.org/W6757817989","https://openalex.org/W6842366909","https://openalex.org/W6868582632","https://openalex.org/W6873058455"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Compressive":[0],"learning":[1,10],"(CL)":[2],"is":[3,44,55,116],"an":[4,137,180],"emerging":[5],"framework":[6],"that":[7,170],"enables":[8],"machine":[9],"inference":[11],"tasks":[12],"to":[13,48,193,210],"be":[14],"performed":[15],"directly":[16],"in":[17,80,100,183,204],"the":[18,81,101,166,171,194,199],"measurements":[19],"of":[20,59,118,186],"compressed":[21,102,174],"sensing":[22],"(CS),":[23],"which":[24,95,150],"can":[25,96],"reduce":[26],"memory":[27],"usage":[28],"and":[29,32,54,78,104,125,143,207],"improve":[30],"compute":[31],"transmission":[33],"efficiency.":[34],"However,":[35],"as":[36],"a":[37,89,119,126,144,157],"typical":[38],"CL":[39],"task,":[40],"CS":[41,90,120,127,173],"object":[42,70,91,98,121,147,176],"detection":[43,71,76,92,99,122,148,177],"still":[45],"challenging":[46],"due":[47],"severe":[49],"feature":[50],"loss":[51],"during":[52],"sampling":[53,113,141],"hard":[56],"for":[57],"deployment":[58],"terminal":[60],"equipment":[61],"with":[62,108,131,188],"limited":[63],"computing":[64],"resources.":[65],"In":[66,84],"recent":[67,211],"years,":[68],"one-stage":[69,146],"models":[72],"have":[73],"achieved":[74],"remarkable":[75],"speed":[77,208],"accuracy":[79,191],"image":[82,195],"domain.":[83],"this":[85],"paper,":[86],"we":[87],"introduce":[88],"architecture":[93],"(CSDet),":[94],"perform":[97],"domain":[103,175,196],"reconstruct":[105],"color":[106],"images":[107],"high":[109],"quality":[110,206],"at":[111],"arbitrary":[112],"rate.":[114],"CSDet":[115],"composed":[117],"module":[123,129],"(CSDM)":[124],"reconstruction":[128,161,205],"(CSRM)":[130],"lightweight":[132,145],"networks.":[133],"The":[134,154],"CSDM":[135],"integrates":[136],"optimizable":[138],"joint":[139,158],"multi-channel":[140,159],"matrix":[142],"network,":[149],"are":[151],"trained":[152],"jointly.":[153],"CSRM":[155],"employs":[156],"global":[160],"network.":[162],"Experimental":[163],"validation":[164],"on":[165],"MS-COCO-Person":[167],"dataset":[168],"demonstrates":[169],"proposed":[172],"method":[178,200],"achieves":[179],"80%":[181],"decrease":[182],"floating":[184],"point":[185],"operations":[187],"even":[189],"better":[190],"compared":[192,209],"method.":[197],"Meanwhile,":[198],"exhibits":[201],"notable":[202],"improvements":[203],"approaches.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}
