{"id":"https://openalex.org/W7154290823","doi":"https://doi.org/10.48550/arxiv.2604.11170","title":"Do Instance Priors Help Weakly Supervised Semantic Segmentation?","display_name":"Do Instance Priors Help Weakly Supervised Semantic Segmentation?","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7154290823","doi":"https://doi.org/10.48550/arxiv.2604.11170"},"language":"en","primary_location":{"id":"pmh:oai:pure.mpg.de:item_3705431","is_oa":true,"landing_page_url":"https://hdl.handle.net/21.11116/0000-0012-F7F8-E","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/workingPaper"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/21.11116/0000-0012-F7F8-E","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133587054","display_name":"Anurag Das","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Das, Anurag","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133592230","display_name":"Anna Kukleva","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kukleva, Anna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133623194","display_name":"Xinting Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Xinting","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133594787","display_name":"Yuki M. Asano","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Asano, Yuki M.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133580345","display_name":"Bernt Schiele","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schiele, Bernt","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.8425999879837036,"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":0.8425999879837036,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.03759999945759773,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.036400001496076584,"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/segmentation","display_name":"Segmentation","score":0.8533999919891357},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6884999871253967},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5637999773025513},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5410000085830688},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5365999937057495},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5266000032424927},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5156999826431274},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4284999966621399}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8533999919891357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7889999747276306},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6884999871253967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6484000086784363},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5637999773025513},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5410000085830688},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5365999937057495},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5266000032424927},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5156999826431274},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4284999966621399},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.42809998989105225},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4092000126838684},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.3919999897480011},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.31279999017715454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29980000853538513},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2736999988555908},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.26159998774528503},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2540999948978424},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:pure.mpg.de:item_3705431","is_oa":true,"landing_page_url":"https://hdl.handle.net/21.11116/0000-0012-F7F8-E","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/workingPaper"},{"id":"doi:10.48550/arxiv.2604.11170","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.11170","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:pure.mpg.de:item_3705431","is_oa":true,"landing_page_url":"https://hdl.handle.net/21.11116/0000-0012-F7F8-E","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/workingPaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,25,53,74,131],"requires":[2],"dense":[3],"pixel-level":[4],"annotations,":[5],"which":[6],"are":[7],"costly":[8],"and":[9,39,65,98,126,138],"time-consuming":[10],"to":[11,69,107,156],"acquire.":[12],"To":[13],"address":[14],"this,":[15],"we":[16,58],"present":[17],"SeSAM,":[18],"a":[19,23,116],"framework":[20],"that":[21,143],"uses":[22],"foundational":[24],"model,":[26],"i.e.":[27],"Segment":[28],"Anything":[29],"Model":[30],"(SAM),":[31],"with":[32,115],"weak":[33,76,139],"labels,":[34,123],"including":[35],"coarse":[36],"masks,":[37],"scribbles,":[38],"points.":[40],"SAM,":[41],"originally":[42],"designed":[43],"for":[44,51,72,111],"instance-based":[45],"segmentation,":[46],"cannot":[47],"be":[48,108],"directly":[49],"used":[50,110],"semantic":[52,112],"tasks.":[54],"In":[55],"this":[56],"work,":[57],"identify":[59],"specific":[60],"challenges":[61],"faced":[62],"by":[63],"SAM":[64,93],"determine":[66],"appropriate":[67],"components":[68],"adapt":[70],"it":[71],"class-based":[73],"using":[75,95,102],"labels.":[77],"Specifically,":[78],"SeSAM":[79,120,144],"decomposes":[80],"class":[81],"masks":[82,94,106],"into":[83],"connected":[84],"components,":[85],"samples":[86],"point":[87],"prompts":[88],"along":[89],"object":[90],"skeletons,":[91],"selects":[92],"weak-label":[96],"coverage,":[97],"iteratively":[99],"refines":[100],"labels":[101],"pseudo-labels,":[103,125,128],"enabling":[104],"SAM-generated":[105],"effectively":[109],"segmentation.":[113],"Integrated":[114],"semi-supervised":[117],"learning":[118],"framework,":[119],"balances":[121],"ground-truth":[122],"SAM-based":[124],"high-confidence":[127],"significantly":[129],"improving":[130],"quality.":[132],"Extensive":[133],"experiments":[134],"across":[135],"multiple":[136],"benchmarks":[137],"annotation":[140,153],"types":[141],"show":[142],"consistently":[145],"outperforms":[146],"weakly":[147],"supervised":[148],"baselines":[149],"while":[150],"substantially":[151],"reducing":[152],"cost":[154],"relative":[155],"fine":[157],"supervision.":[158]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-15T00:00:00"}