{"id":"https://openalex.org/W4412107165","doi":"https://doi.org/10.1109/tcsvt.2025.3587019","title":"SampleDet3D: Sample Enhanced 3D Object Detection","display_name":"SampleDet3D: Sample Enhanced 3D Object Detection","publication_year":2025,"publication_date":"2025-07-08","ids":{"openalex":"https://openalex.org/W4412107165","doi":"https://doi.org/10.1109/tcsvt.2025.3587019"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2025.3587019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3587019","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/A5005068484","display_name":"Yiqiang Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiqiang Wu","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102644026","display_name":"Qin Yu","orcid":"https://orcid.org/0000-0002-5964-5984"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Qin","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110703785","display_name":"Jiacheng Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacheng Sun","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353132","display_name":"Chang Liu","orcid":"https://orcid.org/0000-0001-5012-7921"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Liu","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021500337","display_name":"Yunfei Bai","orcid":"https://orcid.org/0000-0001-8084-6281"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfei Bai","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011164821","display_name":"Chongchong Mao","orcid":"https://orcid.org/0000-0002-9385-6718"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenghai Mao","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044546450","display_name":"Xiaomao Li","orcid":"https://orcid.org/0000-0002-4106-4858"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomao Li","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5005068484"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18269899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":"12","first_page":"12455","last_page":"12466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9557999968528748,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9557999968528748,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9182999730110168,"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"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9135000109672546,"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":0.6050978302955627},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5308115482330322},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5188130736351013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.492109477519989},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4612535238265991},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44362491369247437},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3982192575931549}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6050978302955627},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5308115482330322},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5188130736351013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.492109477519989},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4612535238265991},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44362491369247437},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3982192575931549},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3587019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3587019","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/G6596670521","display_name":null,"funder_award_id":"62225308","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"}],"funders":[{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W2897529137","https://openalex.org/W2949708697","https://openalex.org/W2963351448","https://openalex.org/W2968296999","https://openalex.org/W3008105217","https://openalex.org/W3034314779","https://openalex.org/W3035172746","https://openalex.org/W3035396860","https://openalex.org/W3035461736","https://openalex.org/W3035574168","https://openalex.org/W3096609285","https://openalex.org/W3109675406","https://openalex.org/W3138516171","https://openalex.org/W3167095230","https://openalex.org/W3176287975","https://openalex.org/W3188046901","https://openalex.org/W4214777292","https://openalex.org/W4310078553","https://openalex.org/W4312307873","https://openalex.org/W4312501532","https://openalex.org/W4312546175","https://openalex.org/W4312604781","https://openalex.org/W4312617306","https://openalex.org/W4312934050","https://openalex.org/W4321770545","https://openalex.org/W4353004817","https://openalex.org/W4366966647","https://openalex.org/W4367182782","https://openalex.org/W4384787373","https://openalex.org/W4385151926","https://openalex.org/W4385245566","https://openalex.org/W4386057711","https://openalex.org/W4386065523","https://openalex.org/W4386066365","https://openalex.org/W4386075590","https://openalex.org/W4386075636","https://openalex.org/W4386076253","https://openalex.org/W4386076702","https://openalex.org/W4390871891","https://openalex.org/W4394843928","https://openalex.org/W4396680691","https://openalex.org/W4402716222","https://openalex.org/W4403947164"],"related_works":["https://openalex.org/W1185300216","https://openalex.org/W2737719445","https://openalex.org/W2898210368","https://openalex.org/W4239098401","https://openalex.org/W2954163146","https://openalex.org/W2382480268","https://openalex.org/W1976518449","https://openalex.org/W2896057011","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Center-based":[0],"3D":[1,171,176],"object":[2,53],"detection":[3,188],"has":[4],"underperformed":[5],"recently":[6],"compared":[7],"to":[8,43,62,131],"advanced":[9],"techniques.":[10],"We":[11],"experimentally":[12],"find":[13],"that":[14,29,49,183],"the":[15,22,35,57,105],"root":[16],"lies":[17],"in":[18],"two":[19],"weaknesses":[20],"of":[21],"basic":[23],"sample":[24,120,133],"mechanism:":[25],"(1)":[26],"Unreasonable":[27],"assignment":[28],"close-range":[30],"and":[31,81,97,101,109,137,159,165,189,196],"high-frequency":[32],"objects":[33],"dominate":[34],"network":[36],"optimization":[37],"since":[38],"samples":[39,50,83,89],"are":[40,90,116],"equally":[41],"assigned":[42],"each":[44],"object.":[45],"(2)":[46],"Ambiguous":[47],"encoding":[48,58],"exhibit":[51],"suboptimal":[52],"discrimination":[54],"ability,":[55],"as":[56],"process":[59],"is":[60,76,129],"restricted":[61],"a":[63,69,169],"limited":[64],"receptive":[65],"field.":[66],"To":[67],"realize":[68],"reasonable":[70],"assignment,":[71],"Dynamic":[72],"Multi-Quality":[73],"Assignment":[74],"(DMQA)":[75],"proposed,":[77],"which":[78],"dynamically":[79,102],"assigns":[80],"supervises":[82],"through":[84,135],"fine-grained":[85],"control.":[86],"Concretely,":[87],"initial":[88],"defined":[91],"based":[92],"on":[93,156,163,193],"prior":[94],"attributes":[95],"(category":[96],"distance)":[98],"per":[99],"object,":[100],"adjusted":[103],"upon":[104],"learning":[106],"effect":[107],"(classification":[108],"localization":[110],"confidence).":[111],"Besides,":[112],"multi-scale":[113],"auxiliary":[114],"losses":[115],"introduced,":[117],"ensuring":[118],"precise":[119],"learning.":[121],"As":[122],"for":[123],"ambiguous":[124],"encoding,":[125],"Interactive":[126],"Enhancement":[127],"(IE)":[128],"introduced":[130],"improve":[132],"representation":[134],"cross-task":[136],"cross-sample":[138,154],"interaction.":[139],"Cross-task":[140],"interaction":[141,155],"first":[142],"aggregates":[143],"neighborhood":[144],"context":[145],"from":[146],"another":[147],"task":[148],"map.":[149],"Parallel":[150],"attention":[151],"further":[152],"performs":[153],"both":[157,194],"local":[158],"global":[160],"levels.":[161],"Based":[162],"DMQA":[164],"IE,":[166],"we":[167],"propose":[168],"novel":[170],"detector":[172],"named":[173],"Sample":[174],"Enhanced":[175],"Object":[177],"Detection":[178],"(SampleDet3D).":[179],"Comprehensive":[180],"experiments":[181],"demonstrate":[182],"SampleDet3D":[184],"effectively":[185],"enhances":[186],"center-based":[187],"achieves":[190],"state-of-the-art":[191],"performance":[192],"Waymo":[195],"ONCE":[197],"datasets.":[198]},"counts_by_year":[],"updated_date":"2025-12-06T23:10:59.065948","created_date":"2025-10-10T00:00:00"}