{"id":"https://openalex.org/W4403678712","doi":"https://doi.org/10.1109/case59546.2024.10711352","title":"Memory-based Error Label Suppression for Embodied Self-Improving Object Detection","display_name":"Memory-based Error Label Suppression for Embodied Self-Improving Object Detection","publication_year":2024,"publication_date":"2024-08-28","ids":{"openalex":"https://openalex.org/W4403678712","doi":"https://doi.org/10.1109/case59546.2024.10711352"},"language":"en","primary_location":{"id":"doi:10.1109/case59546.2024.10711352","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/case59546.2024.10711352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-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/A5080327156","display_name":"Jieren Deng","orcid":"https://orcid.org/0000-0002-5738-0927"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jieren Deng","raw_affiliation_strings":["Chinese Academy of Sciences,CAS Engineering Laboratory for Intelligent Industrial Vision, Institute of Automation,Beijing,China,100190"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,CAS Engineering Laboratory for Intelligent Industrial Vision, Institute of Automation,Beijing,China,100190","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102000140","display_name":"Haojian Zhang","orcid":"https://orcid.org/0000-0001-8447-0269"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haojian Zhang","raw_affiliation_strings":["Chinese Academy of Sciences,CAS Engineering Laboratory for Intelligent Industrial Vision, Institute of Automation,Beijing,China,100190"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,CAS Engineering Laboratory for Intelligent Industrial Vision, Institute of Automation,Beijing,China,100190","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111017189","display_name":"Jianhua Hu","orcid":"https://orcid.org/0000-0003-2356-5955"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Hu","raw_affiliation_strings":["Chinese Academy of Sciences,CAS Engineering Laboratory for Intelligent Industrial Vision, Institute of Automation,Beijing,China,100190"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,CAS Engineering Laboratory for Intelligent Industrial Vision, Institute of Automation,Beijing,China,100190","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030760502","display_name":"Yunkuan Wang","orcid":"https://orcid.org/0000-0003-1015-8381"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunkuan Wang","raw_affiliation_strings":["Chinese Academy of Sciences,CAS Engineering Laboratory for Intelligent Industrial Vision, Institute of Automation,Beijing,China,100190"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,CAS Engineering Laboratory for Intelligent Industrial Vision, Institute of Automation,Beijing,China,100190","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080327156"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16559888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1951","last_page":"1958"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.8284000158309937,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.8284000158309937,"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/T10057","display_name":"Face and Expression Recognition","score":0.8242999911308289,"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/T10320","display_name":"Neural Networks and Applications","score":0.8154000043869019,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/embodied-cognition","display_name":"Embodied cognition","score":0.7911386489868164},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7398297786712646},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5046447515487671},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.416686087846756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39350518584251404},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34731096029281616},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2277986705303192}],"concepts":[{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.7911386489868164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7398297786712646},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5046447515487671},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.416686087846756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39350518584251404},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34731096029281616},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2277986705303192}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/case59546.2024.10711352","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/case59546.2024.10711352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2983943451","https://openalex.org/W3003224579","https://openalex.org/W3096609285","https://openalex.org/W3138516171","https://openalex.org/W3169575272","https://openalex.org/W4312291425","https://openalex.org/W4312956471","https://openalex.org/W4385486449","https://openalex.org/W4391648915","https://openalex.org/W6620707391","https://openalex.org/W6792413472","https://openalex.org/W6803600046","https://openalex.org/W6809665764","https://openalex.org/W6850787431"],"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":{"This":[0,77],"paper":[1],"introduces":[2],"a":[3,44,65,139],"novel":[4],"method":[5,67,157],"for":[6,27,68],"embodied":[7,150],"self-improving":[8,31],"object":[9,15],"detection,":[10],"aimed":[11],"at":[12],"enhancing":[13],"the":[14,25,52,57,109,116,122,147],"detection":[16],"model":[17],"by":[18,125],"gathering":[19],"additional":[20],"labeled":[21],"samples":[22,36,163],"post-pre-training":[23],"without":[24],"need":[26],"human":[28],"supervision.":[29],"Current":[30],"strategies":[32],"autonomously":[33],"label":[34,79],"new":[35],"using":[37],"3D":[38],"consistency,":[39],"yet":[40],"they":[41],"often":[42],"incorporate":[43],"substantial":[45],"amount":[46],"of":[47,94,100,112,142,149],"mislabeled":[48],"samples,":[49,144],"thereby":[50],"diminishing":[51],"potential":[53],"performance":[54,171],"improvement":[55],"to":[56,72,137,165,169],"model.":[58],"To":[59],"counter":[60],"this":[61],"issue,":[62],"we":[63,131],"propose":[64],"memory-based":[66],"suppressing":[69],"error":[70,78],"labels":[71,114],"minimize":[73],"their":[74],"adverse":[75],"impact.":[76],"suppression":[80],"mechanism":[81],"includes":[82],"LoRA":[83],"output":[84],"constraint":[85],"and":[86,97],"exemplar":[87],"prototype":[88],"constraints,":[89],"which":[90],"leverage":[91],"explicit":[92],"memories":[93,99],"correct":[95],"prototypes":[96],"implicit":[98],"correctly":[101],"learned":[102],"parameters,":[103],"respectively.":[104],"These":[105],"mechanisms":[106],"effectively":[107],"reduce":[108],"negative":[110],"effects":[111],"erroneous":[113,162],"on":[115],"model\u2019s":[117],"learning":[118],"process.":[119],"Building":[120],"upon":[121],"robustness":[123,160],"provided":[124],"our":[126,156],"Memory-Based":[127],"Error":[128],"Label":[129],"Suppression,":[130],"further":[132],"incorporates":[133],"Cross-View":[134],"Redundant":[135],"Labeling":[136],"introduce":[138],"higher":[140],"quantity":[141],"accurate":[143],"thus":[145],"amplifying":[146],"benefits":[148],"self-improving.":[151],"Experimental":[152],"results":[153],"demonstrate":[154],"that":[155],"exhibits":[158],"more":[159],"against":[161],"compared":[164],"existing":[166],"methods,":[167],"leading":[168],"significantly":[170],"improvement.":[172]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
