{"id":"https://openalex.org/W4386026012","doi":"https://doi.org/10.1109/tip.2023.3301342","title":"BLPSeg: Balance the Label Preference in Scribble-Supervised Semantic Segmentation","display_name":"BLPSeg: Balance the Label Preference in Scribble-Supervised Semantic Segmentation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386026012","doi":"https://doi.org/10.1109/tip.2023.3301342","pmid":"https://pubmed.ncbi.nlm.nih.gov/37603487"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2023.3301342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3301342","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101512591","display_name":"Yude Wang","orcid":"https://orcid.org/0000-0001-6580-7081"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yude Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6580-7081","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010618416","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0002-8899-3996"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8899-3996","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047682975","display_name":"Meina Kan","orcid":"https://orcid.org/0000-0001-9483-875X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meina Kan","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9483-875X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050297728","display_name":"Shiguang Shan","orcid":"https://orcid.org/0000-0002-8348-392X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiguang Shan","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","Peng Cheng National Laboratory, Shenzhen, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8348-392X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Peng Cheng National Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083420537","display_name":"Xilin Chen","orcid":"https://orcid.org/0000-0003-3024-4404"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xilin Chen","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3024-4404","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3473,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83163299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"32","issue":null,"first_page":"4921","last_page":"4934"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9969000220298767,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9966999888420105,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7660419940948486},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7210583686828613},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6954279541969299},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6120259761810303},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5843105316162109},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5709059238433838},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5681039094924927},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.47533464431762695},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4533412754535675},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43346500396728516},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4259575605392456},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.20327550172805786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14217078685760498}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7660419940948486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7210583686828613},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6954279541969299},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6120259761810303},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5843105316162109},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5709059238433838},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5681039094924927},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.47533464431762695},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4533412754535675},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43346500396728516},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4259575605392456},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.20327550172805786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14217078685760498},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2023.3301342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3301342","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:37603487","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37603487","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G189398753","display_name":null,"funder_award_id":"62176251","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G272497797","display_name":null,"funder_award_id":"62122074","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5706702056","display_name":null,"funder_award_id":"61976219","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8788266630","display_name":null,"funder_award_id":"2021YFC3310100","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}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W611457968","https://openalex.org/W1508404128","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W1977556410","https://openalex.org/W1999478155","https://openalex.org/W2037227137","https://openalex.org/W2067191022","https://openalex.org/W2108598243","https://openalex.org/W2118246710","https://openalex.org/W2121947440","https://openalex.org/W2124351162","https://openalex.org/W2129872026","https://openalex.org/W2145001205","https://openalex.org/W2194775991","https://openalex.org/W2306289963","https://openalex.org/W2337429362","https://openalex.org/W2412782625","https://openalex.org/W2552414813","https://openalex.org/W2560023338","https://openalex.org/W2600144439","https://openalex.org/W2755136704","https://openalex.org/W2796813206","https://openalex.org/W2799124825","https://openalex.org/W2884822772","https://openalex.org/W2896435145","https://openalex.org/W2950623159","https://openalex.org/W2955058313","https://openalex.org/W2956648669","https://openalex.org/W2962758679","https://openalex.org/W2963198662","https://openalex.org/W2963351448","https://openalex.org/W2963687373","https://openalex.org/W2963728677","https://openalex.org/W2966037847","https://openalex.org/W2966776792","https://openalex.org/W2981689412","https://openalex.org/W2990500698","https://openalex.org/W3034930876","https://openalex.org/W3035524453","https://openalex.org/W3082755608","https://openalex.org/W3096609285","https://openalex.org/W3100040694","https://openalex.org/W3105043467","https://openalex.org/W3107725261","https://openalex.org/W3112503277","https://openalex.org/W3132851869","https://openalex.org/W3138516171","https://openalex.org/W3159481202","https://openalex.org/W3164772195","https://openalex.org/W3170128766","https://openalex.org/W3170841864","https://openalex.org/W3175456851","https://openalex.org/W3177958285","https://openalex.org/W3181191249","https://openalex.org/W3192053541","https://openalex.org/W3203383669","https://openalex.org/W4205168651","https://openalex.org/W4205682586","https://openalex.org/W4211088096","https://openalex.org/W4214714094","https://openalex.org/W4221144214","https://openalex.org/W4226247773","https://openalex.org/W4230962939","https://openalex.org/W4301366318","https://openalex.org/W4313151123","https://openalex.org/W4366976290","https://openalex.org/W4385245566","https://openalex.org/W4386076431","https://openalex.org/W6682124274","https://openalex.org/W6684191040","https://openalex.org/W6764136514","https://openalex.org/W6766978945","https://openalex.org/W6789782624","https://openalex.org/W6797399245","https://openalex.org/W6798837711","https://openalex.org/W6799750437"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2361861616","https://openalex.org/W2052835778","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W2218034408","https://openalex.org/W2392921965"],"abstract_inverted_index":{"Scribble-supervised":[0],"semantic":[1],"segmentation":[2],"is":[3],"an":[4,43,100],"appealing":[5],"weakly":[6],"supervised":[7],"technique":[8],"with":[9],"low":[10],"labeling":[11],"cost.":[12],"Existing":[13],"approaches":[14],"mainly":[15],"consider":[16],"diffusing":[17],"the":[18,29,58,68,89,96,106,121,133,162],"labeled":[19,75,81,149],"region":[20,60],"of":[21,62,108,135,164],"scribble":[22,33,47,56],"by":[23,124],"low-level":[24],"feature":[25],"similarity":[26],"to":[27,55,87,104,119,130,145,150,160],"narrow":[28],"supervision":[30,147],"gap":[31],"between":[32,46],"labels":[34,109],"and":[35,48,176],"mask":[36],"labels.":[37],"In":[38],"this":[39],"study,":[40],"we":[41,84,138],"observe":[42],"annotation":[44,101],"bias":[45],"object":[49],"mask,":[50],"i.e.,":[51],"label":[52,65,90,136],"workers":[53],"tend":[54],"on":[57,72,79,110],"spacious":[59],"instead":[61],"corners.":[63],"This":[64],"preference":[66,91],"makes":[67],"model":[69,122],"learn":[70],"well":[71],"those":[73,126],"frequently":[74],"regions":[76,152],"but":[77],"poor":[78],"rarely":[80],"pixels.":[82],"Therefore,":[83],"propose":[85],"BLPSeg":[86,97],"balance":[88,120],"for":[92],"complete":[93],"segmentation.":[94],"Specifically,":[95],"first":[98],"predicts":[99],"probability":[102],"map":[103],"evaluate":[105],"rarity":[107],"each":[111],"image,":[112],"then":[113],"utilizes":[114],"a":[115,140],"novel":[116],"BLP":[117],"loss":[118],"training":[123],"up-weighting":[125],"rare":[127],"annotations.":[128],"Additionally,":[129],"further":[131],"alleviate":[132],"impact":[134],"preference,":[137],"design":[139],"local":[141],"aggregation":[142],"module":[143],"(LAM)":[144],"propagate":[146],"from":[148],"unlabeled":[151],"in":[153],"gradient":[154],"backpropagation.":[155],"We":[156],"conduct":[157],"extensive":[158],"experiments":[159],"illustrate":[161],"effectiveness":[163],"our":[165],"BLPSeg.":[166],"Our":[167],"single-stage":[168],"method":[169],"even":[170],"outperforms":[171],"other":[172],"advanced":[173],"multi-stage":[174],"methods":[175],"achieves":[177],"state-of-the-art":[178],"performance.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}