{"id":"https://openalex.org/W4385764436","doi":"https://doi.org/10.24963/ijcai.2023/127","title":"Complete Instances Mining for Weakly Supervised Instance Segmentation","display_name":"Complete Instances Mining for Weakly Supervised Instance Segmentation","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385764436","doi":"https://doi.org/10.24963/ijcai.2023/127"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/127","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/127","pdf_url":"https://www.ijcai.org/proceedings/2023/0127.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2023/0127.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083211713","display_name":"Zecheng Li","orcid":"https://orcid.org/0000-0003-4200-0941"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zecheng Li","raw_affiliation_strings":["South China University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101233218","display_name":"Zening Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zening Zeng","raw_affiliation_strings":["South China University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101508038","display_name":"Yuqi Liang","orcid":"https://orcid.org/0009-0005-1804-6896"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqi Liang","raw_affiliation_strings":["South China University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074234291","display_name":"Jin-Gang Yu","orcid":"https://orcid.org/0000-0003-2148-2726"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin-Gang Yu","raw_affiliation_strings":["Pazhou Laboratory","South China University of Technology","Pazhou Laboratory; South China University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pazhou Laboratory","institution_ids":[]},{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Pazhou Laboratory; South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8158,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78119901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1142","last_page":"1150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9948999881744385,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9948999881744385,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9782999753952026,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.970300018787384,"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":0.8458300828933716},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.7589111328125},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7208674550056458},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.7067826986312866},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6836224794387817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6337416768074036},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5795835256576538},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5520895719528198},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5083073973655701},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39451462030410767},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37495094537734985},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3482553958892822}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8458300828933716},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.7589111328125},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7208674550056458},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.7067826986312866},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6836224794387817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6337416768074036},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5795835256576538},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5520895719528198},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5083073973655701},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39451462030410767},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37495094537734985},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3482553958892822},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2023/127","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/127","pdf_url":"https://www.ijcai.org/proceedings/2023/0127.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2402.07633","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.07633","pdf_url":"https://arxiv.org/pdf/2402.07633","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2023/127","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/127","pdf_url":"https://www.ijcai.org/proceedings/2023/0127.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3730328248","display_name":null,"funder_award_id":"61703166","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6178688646","display_name":null,"funder_award_id":"62076099","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385764436.pdf","grobid_xml":"https://content.openalex.org/works/W4385764436.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2088049833","https://openalex.org/W2168804568","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2519284461","https://openalex.org/W2574253917","https://openalex.org/W2604260814","https://openalex.org/W2813911573","https://openalex.org/W2894666165","https://openalex.org/W2954087924","https://openalex.org/W2955278847","https://openalex.org/W2955382613","https://openalex.org/W2962867364","https://openalex.org/W2963311325","https://openalex.org/W2963603913","https://openalex.org/W2963949812","https://openalex.org/W2963952323","https://openalex.org/W2982770724","https://openalex.org/W2983061571","https://openalex.org/W2991662170","https://openalex.org/W3014641072","https://openalex.org/W3035725370","https://openalex.org/W3085685449","https://openalex.org/W3107730255","https://openalex.org/W3109073404","https://openalex.org/W3162810483","https://openalex.org/W3204507850","https://openalex.org/W4301394483","https://openalex.org/W4307795760","https://openalex.org/W4312324516","https://openalex.org/W4312866875"],"related_works":["https://openalex.org/W2069133146","https://openalex.org/W1663079876","https://openalex.org/W4286681602","https://openalex.org/W3209312100","https://openalex.org/W4377086356","https://openalex.org/W3210882018","https://openalex.org/W2970990331","https://openalex.org/W4379116102","https://openalex.org/W3207178610","https://openalex.org/W3211782752"],"abstract_inverted_index":{"Weakly":[0],"supervised":[1],"instance":[2,53],"segmentation":[3,47,134],"(WSIS)":[4],"using":[5],"only":[6,77],"image-level":[7],"labels":[8],"is":[9],"a":[10,40,45,51,63,66,81,95,123,187],"challenging":[11],"task":[12],"due":[13],"to":[14,75,115,129,146],"the":[15,22,27,71,84,103,110,117,132,144,162,171],"difficulty":[16],"of":[17,29,65,106,112,120,149,164],"aligning":[18],"coarse":[19],"annotations":[20],"with":[21,26,186],"finer":[23],"task.":[24],"However,":[25],"advancement":[28],"deep":[30],"neural":[31],"networks":[32],"(DNNs),":[33],"WSIS":[34,99],"has":[35],"garnered":[36],"significant":[37],"attention.":[38],"Following":[39],"proposal-based":[41],"paradigm,":[42],"we":[43,61,93,156],"encounter":[44],"redundant":[46,133],"problem":[48,135],"resulting":[49],"from":[50],"single":[52],"being":[54],"represented":[55],"by":[56],"multiple":[57,87,150],"proposals.":[58,88],"For":[59],"example,":[60],"feed":[62],"picture":[64],"dog":[67],"and":[68,73,122,136,152,155,175],"proposals":[69,121],"into":[70],"network":[72,85,145],"expect":[74],"output":[76],"one":[78],"proposal":[79],"containing":[80],"dog,":[82],"but":[83],"outputs":[86],"To":[89],"address":[90],"this":[91],"problem,":[92],"propose":[94],"novel":[96],"approach":[97,142],"for":[98],"that":[100,180],"focuses":[101],"on":[102,170],"online":[104],"refinement":[105],"complete":[107,153],"instances":[108,151],"through":[109,161],"use":[111],"MaskIoU":[113],"heads":[114],"predict":[116],"integrity":[118],"scores":[119],"Complete":[124],"Instances":[125],"Mining":[126],"(CIM)":[127],"strategy":[128],"explicitly":[130],"model":[131],"generate":[137],"refined":[138],"pseudo":[139],"labels.":[140],"Our":[141,190],"allows":[143],"become":[147],"aware":[148],"instances,":[154],"further":[157],"improve":[158],"its":[159],"robustness":[160],"incorporation":[163],"an":[165],"Anti-noise":[166],"strategy.":[167],"Empirical":[168],"evaluations":[169],"PASCAL":[172],"VOC":[173],"2012":[174],"MS":[176],"COCO":[177],"datasets":[178],"demonstrate":[179],"our":[181],"method":[182],"achieves":[183],"state-of-the-art":[184],"performance":[185],"notable":[188],"margin.":[189],"implementation":[191],"will":[192],"be":[193],"made":[194],"available":[195],"at":[196],"https://github.com/ZechengLi19/CIM.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
