{"id":"https://openalex.org/W4413945508","doi":"https://doi.org/10.1109/icra55743.2025.11127977","title":"LamPro: Multi-Prototype Representation Learning for Enhanced Visual Pattern Recognition","display_name":"LamPro: Multi-Prototype Representation Learning for Enhanced Visual Pattern Recognition","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4413945508","doi":"https://doi.org/10.1109/icra55743.2025.11127977"},"language":"en","primary_location":{"id":"doi:10.1109/icra55743.2025.11127977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11127977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","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":"https://openalex.org/A5102993435","display_name":"Ji Qi","orcid":"https://orcid.org/0000-0003-3324-5269"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Qi","raw_affiliation_strings":["China Mobile (Suzhou) Software Technology Co., Ltd,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile (Suzhou) Software Technology Co., Ltd,China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103212543","display_name":"Wei Sun","orcid":"https://orcid.org/0000-0002-4264-6622"},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Sun","raw_affiliation_strings":["University of Science and Technology of China (USTC),Suzhou,Jiangsu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China (USTC),Suzhou,Jiangsu,China","institution_ids":["https://openalex.org/I308837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109948064","display_name":"Qihe Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihe Huang","raw_affiliation_strings":["University of Science and Technology of China (USTC),Suzhou,Jiangsu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China (USTC),Suzhou,Jiangsu,China","institution_ids":["https://openalex.org/I308837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040516967","display_name":"Zhengyang Zhou","orcid":"https://orcid.org/0000-0003-4728-7347"},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyang Zhou","raw_affiliation_strings":["University of Science and Technology of China (USTC),Suzhou,Jiangsu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China (USTC),Suzhou,Jiangsu,China","institution_ids":["https://openalex.org/I308837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100322934","display_name":"Yang Wang","orcid":"https://orcid.org/0000-0003-2481-962X"},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Wang","raw_affiliation_strings":["University of Science and Technology of China (USTC),Suzhou,Jiangsu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China (USTC),Suzhou,Jiangsu,China","institution_ids":["https://openalex.org/I308837"]}]}],"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":"10080","last_page":"10086"},"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":0.9688000082969666,"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":0.9688000082969666,"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":0.9498000144958496,"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":0.9491999745368958,"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":0.7699658870697021},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.568646252155304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5522263050079346},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47504448890686035},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.43376994132995605},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3243340253829956},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3239345848560333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7699658870697021},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.568646252155304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5522263050079346},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47504448890686035},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.43376994132995605},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3243340253829956},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3239345848560333},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra55743.2025.11127977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11127977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1946293154","https://openalex.org/W1990517717","https://openalex.org/W2022322548","https://openalex.org/W2023935830","https://openalex.org/W2054564221","https://openalex.org/W2094566372","https://openalex.org/W2096733369","https://openalex.org/W2115733720","https://openalex.org/W2116341502","https://openalex.org/W2127839699","https://openalex.org/W2153959628","https://openalex.org/W2154851992","https://openalex.org/W2168190036","https://openalex.org/W2194775991","https://openalex.org/W2963314614","https://openalex.org/W2965880440","https://openalex.org/W2985331920","https://openalex.org/W3093737498","https://openalex.org/W3189084258","https://openalex.org/W4214493665","https://openalex.org/W4247840940","https://openalex.org/W4312479380","https://openalex.org/W4383097700","https://openalex.org/W4385505491","https://openalex.org/W4401415336","https://openalex.org/W4401415649","https://openalex.org/W4401415998","https://openalex.org/W4401416588","https://openalex.org/W4401417431"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2795079307","https://openalex.org/W2793058541","https://openalex.org/W1983629434","https://openalex.org/W2055929693","https://openalex.org/W4324271173","https://openalex.org/W2352227742","https://openalex.org/W4390679071","https://openalex.org/W1967645776","https://openalex.org/W3006966347"],"abstract_inverted_index":{"Visual":[0],"pattern":[1,14,72],"recognition":[2,15],"usually":[3],"plays":[4],"important":[5,26],"roles":[6],"in":[7,66],"robotics":[8],"and":[9,33,51,63,91,115,146,168,196],"automation":[10],"society":[11],"where":[12],"the":[13,28,38,60,84,95,117,121,139,143,148,154,159,165,170,191],"relies":[16],"on":[17],"representation":[18,21,32,96,144],"learning.":[19],"Existing":[20],"learning":[22,46,68,104],"often":[23],"neglects":[24],"two":[25],"issues,":[27],"diversity":[29,62],"of":[30,123,175,193],"intra-class":[31,53,61,127],"under-exploited":[34],"label":[35,49,85,149],"utilization,":[36],"especially":[37],"negative":[39,166],"feedback":[40],"during":[41],"training":[42],"process.":[43],"Fortunately,":[44],"prototype":[45,67,89,119,140,171],"potentially":[47],"raises":[48],"utilization":[50],"encourages":[52],"diversity.":[54,128],"In":[55],"this":[56],"paper,":[57],"we":[58,75,99,110,130,163,178],"investigate":[59],"effective":[64],"updates":[65,141,172],"for":[69],"enhanced":[70],"visual":[71],"recognition.":[73],"Specifically,":[74],"propose":[76,131],"a":[77,101,132,180],"Label-aware":[78],"multi-Prototype":[79],"learning,":[80],"LamPro,":[81],"by":[82],"incorporating":[83],"awareness":[86],"into":[87],"both":[88],"formation":[90],"update":[92,116,185],"to":[93,105,125,151,183],"improve":[94],"quality.":[97],"Firstly,":[98],"design":[100,179],"supervised":[102],"contrastive":[103],"achieve":[106],"class-discriminative":[107],"representations.":[108],"Secondly,":[109],"randomly":[111],"initialize":[112],"multiple":[113],"prototypes":[114],"nearest":[118],"upon":[120],"arrival":[122],"instance,":[124],"preserve":[126],"Thirdly,":[129],"novel":[133],"Label-guided":[134],"Adaptive":[135],"Updating.":[136],"We":[137],"separate":[138],"from":[142],"optimization":[145,161],"exploit":[147],"indexes":[150],"directly":[152],"implement":[153],"prediction":[155],"feedback.":[156],"To":[157],"correct":[158,169],"model":[160],"directions,":[162],"identify":[164],"feedback,":[167],"via":[173],"queries":[174],"labels.":[176],"Finally,":[177],"memory-based":[181],"counter":[182],"alternately":[184],"these":[186],"deviated":[187],"prototypes.":[188],"Experiments":[189],"verify":[190],"effectiveness":[192],"our":[194],"label-aware":[195],"joint":[197],"multi-prototype":[198],"updating":[199],"strategies.":[200]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
