{"id":"https://openalex.org/W4408727734","doi":"https://doi.org/10.1109/ipas63548.2025.10924512","title":"Uncertainty Driven Sampling to Handle Intra-class Imbalance Part Segmentation in Wheat","display_name":"Uncertainty Driven Sampling to Handle Intra-class Imbalance Part Segmentation in Wheat","publication_year":2025,"publication_date":"2025-01-09","ids":{"openalex":"https://openalex.org/W4408727734","doi":"https://doi.org/10.1109/ipas63548.2025.10924512"},"language":"en","primary_location":{"id":"doi:10.1109/ipas63548.2025.10924512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas63548.2025.10924512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 6th International Conference on Image Processing, Applications and Systems (IPAS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.edgehill.ac.uk/en/publications/64e04c22-5cb9-4e95-9664-038a7410cdf5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108780584","display_name":"Reena Reena","orcid":null},"institutions":[{"id":"https://openalex.org/I165525304","display_name":"Edge Hill University","ror":"https://ror.org/028ndzd53","country_code":"GB","type":"education","lineage":["https://openalex.org/I165525304"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Reena","raw_affiliation_strings":["Edge Hill University,Computer Science,Lancashire,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Edge Hill University,Computer Science,Lancashire,UK","institution_ids":["https://openalex.org/I165525304"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067592841","display_name":"John H. Doonan","orcid":"https://orcid.org/0000-0001-6027-1919"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John H. Doonan","raw_affiliation_strings":["Aberystwyth University,National Plant Phenomics Centre,Aberystwyth,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aberystwyth University,National Plant Phenomics Centre,Aberystwyth,UK","institution_ids":["https://openalex.org/I16038530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032720866","display_name":"Huaizhong Zhang","orcid":"https://orcid.org/0000-0001-7867-9453"},"institutions":[{"id":"https://openalex.org/I165525304","display_name":"Edge Hill University","ror":"https://ror.org/028ndzd53","country_code":"GB","type":"education","lineage":["https://openalex.org/I165525304"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Huaizhong Zhang","raw_affiliation_strings":["Edge Hill University,Computer Science,Lancashire,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Edge Hill University,Computer Science,Lancashire,UK","institution_ids":["https://openalex.org/I165525304"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085867312","display_name":"Honghai Liu","orcid":"https://orcid.org/0000-0002-2880-4698"},"institutions":[{"id":"https://openalex.org/I165525304","display_name":"Edge Hill University","ror":"https://ror.org/028ndzd53","country_code":"GB","type":"education","lineage":["https://openalex.org/I165525304"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yonghuai Liu","raw_affiliation_strings":["Edge Hill University,Computer Science,Lancashire,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Edge Hill University,Computer Science,Lancashire,UK","institution_ids":["https://openalex.org/I165525304"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084534342","display_name":"Kevin Williams","orcid":"https://orcid.org/0000-0002-2804-6401"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kevin Williams","raw_affiliation_strings":["Aberystwyth University,National Plant Phenomics Centre,Aberystwyth,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aberystwyth University,National Plant Phenomics Centre,Aberystwyth,UK","institution_ids":["https://openalex.org/I16038530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022643248","display_name":"Fiona Corke","orcid":"https://orcid.org/0000-0001-5304-6713"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fiona M. K. Corke","raw_affiliation_strings":["Aberystwyth University,National Plant Phenomics Centre,Aberystwyth,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aberystwyth University,National Plant Phenomics Centre,Aberystwyth,UK","institution_ids":["https://openalex.org/I16038530"]}]}],"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":0.12293144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12431","display_name":"Sugarcane Cultivation and Processing","score":0.9344000220298767,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.929099977016449,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5837494134902954},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5799130201339722},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5618746280670166},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5085278749465942},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5010554790496826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3257729411125183},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3154790997505188}],"concepts":[{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5837494134902954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5799130201339722},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5618746280670166},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5085278749465942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5010554790496826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3257729411125183},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3154790997505188},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ipas63548.2025.10924512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas63548.2025.10924512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 6th International Conference on Image Processing, Applications and Systems (IPAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/64e04c22-5cb9-4e95-9664-038a7410cdf5","is_oa":true,"landing_page_url":"https://research.edgehill.ac.uk/en/publications/64e04c22-5cb9-4e95-9664-038a7410cdf5","pdf_url":null,"source":{"id":"https://openalex.org/S4306402462","display_name":"Edge Hill University Research Information Repository (Edge Hill University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165525304","host_organization_name":"Edge Hill University","host_organization_lineage":["https://openalex.org/I165525304"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"REENA, REENA, Doonan, J, ZHANG, HUAIZHONG, Williams, K, Corke, F M K & LIU, YONGHUAI 2025, Uncertainty Driven Sampling to Handle Intra-class Imbalance Part Segmentation in Wheat. in Proceedings of the 6th IEEE International Conference on Image Processing Applications and Systems. IEEE Explore, pp. 1-7. https://doi.org/10.1109/IPAS63548.2025.10924512","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/64e04c22-5cb9-4e95-9664-038a7410cdf5","is_oa":true,"landing_page_url":"https://research.edgehill.ac.uk/en/publications/64e04c22-5cb9-4e95-9664-038a7410cdf5","pdf_url":null,"source":{"id":"https://openalex.org/S4306402462","display_name":"Edge Hill University Research Information Repository (Edge Hill University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165525304","host_organization_name":"Edge Hill University","host_organization_lineage":["https://openalex.org/I165525304"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"REENA, REENA, Doonan, J, ZHANG, HUAIZHONG, Williams, K, Corke, F M K & LIU, YONGHUAI 2025, Uncertainty Driven Sampling to Handle Intra-class Imbalance Part Segmentation in Wheat. in Proceedings of the 6th IEEE International Conference on Image Processing Applications and Systems. IEEE Explore, pp. 1-7. https://doi.org/10.1109/IPAS63548.2025.10924512","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2148143831","https://openalex.org/W2513863019","https://openalex.org/W2551429935","https://openalex.org/W2781137302","https://openalex.org/W2810417023","https://openalex.org/W2925510773","https://openalex.org/W2931450843","https://openalex.org/W2936503027","https://openalex.org/W2963351448","https://openalex.org/W2964059111","https://openalex.org/W2979750740","https://openalex.org/W3003437478","https://openalex.org/W3005125193","https://openalex.org/W3039448353","https://openalex.org/W3132955790","https://openalex.org/W3198596761","https://openalex.org/W4206706117","https://openalex.org/W4221070984","https://openalex.org/W4281856740","https://openalex.org/W4285082196","https://openalex.org/W4322773481","https://openalex.org/W4380371902","https://openalex.org/W4400082641","https://openalex.org/W6687484953","https://openalex.org/W6739778489"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4385583601","https://openalex.org/W4395685956","https://openalex.org/W3159516372","https://openalex.org/W4398146871","https://openalex.org/W4387803165"],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2],"novel":[3],"method":[4],"to":[5,38,51,67],"address":[6],"intra-class":[7],"imbalance":[8,40],"in":[9,25,87],"3D":[10,115],"point":[11],"cloud":[12],"segmentation":[13,43,107],"of":[14,60],"wheat,":[15],"focusing":[16],"on":[17],"distinguishing":[18],"between":[19],"ear":[20],"and":[21,34,53,80,106],"non-ear":[22],"parts.":[23],"Variability":[24],"plant":[26,116],"structure,":[27],"influenced":[28],"by":[29],"factors":[30],"such":[31],"as":[32],"curvature":[33],"shape,":[35],"often":[36],"leads":[37],"data":[39],"which":[41],"complicates":[42],"tasks.":[44],"Our":[45,91],"approach":[46],"utilizes":[47],"Monte":[48],"Carlo":[49],"Dropout":[50],"identify":[52],"prioritize":[54],"uncertain":[55],"samples":[56,69,75],"at":[57],"the":[58,71,88,100],"end":[59],"each":[61],"training":[62,89],"epoch,":[63],"employing":[64],"uncertainty-driven":[65],"sampling":[66],"select":[68],"with":[70],"lowest":[72],"confidence.":[73],"These":[74],"undergo":[76],"augmentation":[77],"through":[78],"scaling":[79],"leaf":[81],"crossover":[82],"techniques,":[83],"enhancing":[84],"their":[85],"representation":[86],"set.":[90],"comparative":[92],"evaluations":[93],"demonstrate":[94],"that":[95],"this":[96],"strategy":[97],"significantly":[98],"improves":[99],"mean":[101],"Intersection":[102],"over":[103],"Union":[104],"(mIoU)":[105],"accuracy,":[108],"thereby":[109],"increasing":[110],"model":[111],"robustness":[112],"for":[113],"complex":[114],"structures.":[117]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}