{"id":"https://openalex.org/W4416214952","doi":"https://doi.org/10.1109/tpami.2025.3633063","title":"ACDC: The Adverse Conditions Dataset With Correspondences for Robust Semantic Driving Scene Perception","display_name":"ACDC: The Adverse Conditions Dataset With Correspondences for Robust Semantic Driving Scene Perception","publication_year":2025,"publication_date":"2025-11-14","ids":{"openalex":"https://openalex.org/W4416214952","doi":"https://doi.org/10.1109/tpami.2025.3633063","pmid":"https://pubmed.ncbi.nlm.nih.gov/41237037"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3633063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3633063","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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/A5058481699","display_name":"Christos Sakaridis","orcid":"https://orcid.org/0000-0003-1127-8887"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Christos Sakaridis","raw_affiliation_strings":["ETH Z&#x00FC;rich, Z&#x00FC;rich, Switzerland","ETH Z&#x00A8;urich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z&#x00FC;rich, Z&#x00FC;rich, Switzerland","institution_ids":[]},{"raw_affiliation_string":"ETH Z&#x00A8;urich, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324810","display_name":"Haoran Wang","orcid":"https://orcid.org/0000-0001-6449-3770"},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Haoran Wang","raw_affiliation_strings":["Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbr&#x00FC;cken, Germany","Max Planck Institute for Informatics, Saarland Informatics Campus, Germany"],"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbr&#x00FC;cken, Germany","institution_ids":["https://openalex.org/I4210109712"]},{"raw_affiliation_string":"Max Planck Institute for Informatics, Saarland Informatics Campus, Germany","institution_ids":["https://openalex.org/I4210109712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343513","display_name":"Ke Li","orcid":"https://orcid.org/0000-0002-7873-1554"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ke Li","raw_affiliation_strings":["ETH Z&#x00FC;rich, Z&#x00FC;rich, Switzerland","ETH Z&#x00A8;urich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z&#x00FC;rich, Z&#x00FC;rich, Switzerland","institution_ids":[]},{"raw_affiliation_string":"ETH Z&#x00A8;urich, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120497726","display_name":"Ren \u0301e Zurbr \u0308ugg","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ren\u00e9 Zurbr\u00fcgg","raw_affiliation_strings":["ETH Z&#x00FC;rich, Z&#x00FC;rich, Switzerland","ETH Z&#x00A8;urich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Z&#x00FC;rich, Z&#x00FC;rich, Switzerland","institution_ids":[]},{"raw_affiliation_string":"ETH Z&#x00A8;urich, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006171940","display_name":"Arpit Jadon","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Arpit Jadon","raw_affiliation_strings":["Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbr&#x00FC;cken, Germany","Max Planck Institute for Informatics, Saarland Informatics Campus, Germany"],"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbr&#x00FC;cken, Germany","institution_ids":["https://openalex.org/I4210109712"]},{"raw_affiliation_string":"Max Planck Institute for Informatics, Saarland Informatics Campus, Germany","institution_ids":["https://openalex.org/I4210109712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013360054","display_name":"Wim Abbeloos","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120547","display_name":"Toyota Motor Corporation (Belgium)","ror":"https://ror.org/023g86t37","country_code":"BE","type":"company","lineage":["https://openalex.org/I4210120547","https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Wim Abbeloos","raw_affiliation_strings":["Toyota Motor Europe, Zaventem, Belgium","Toyota Motor Europe, Belgium"],"affiliations":[{"raw_affiliation_string":"Toyota Motor Europe, Zaventem, Belgium","institution_ids":["https://openalex.org/I4210120547"]},{"raw_affiliation_string":"Toyota Motor Europe, Belgium","institution_ids":["https://openalex.org/I4210120547"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047788584","display_name":"Daniel Olmeda Reino","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120547","display_name":"Toyota Motor Corporation (Belgium)","ror":"https://ror.org/023g86t37","country_code":"BE","type":"company","lineage":["https://openalex.org/I4210120547","https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Daniel Olmeda Reino","raw_affiliation_strings":["Toyota Motor Europe, Zaventem, Belgium","Toyota Motor Europe, Belgium"],"affiliations":[{"raw_affiliation_string":"Toyota Motor Europe, Zaventem, Belgium","institution_ids":["https://openalex.org/I4210120547"]},{"raw_affiliation_string":"Toyota Motor Europe, Belgium","institution_ids":["https://openalex.org/I4210120547"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105530582","display_name":"Luc Van Gool","orcid":null},"institutions":[{"id":"https://openalex.org/I58918642","display_name":"Sofia University \"St. Kliment Ohridski\"","ror":"https://ror.org/02jv3k292","country_code":"BG","type":"education","lineage":["https://openalex.org/I58918642"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Luc Van Gool","raw_affiliation_strings":["INSAIT, Sofia University St. Kliment Ohridski, Sofia, Bulgaria","INSAIT, Sofia University St. Kliment Ohridski, Bulgaria"],"affiliations":[{"raw_affiliation_string":"INSAIT, Sofia University St. Kliment Ohridski, Sofia, Bulgaria","institution_ids":["https://openalex.org/I58918642"]},{"raw_affiliation_string":"INSAIT, Sofia University St. Kliment Ohridski, Bulgaria","institution_ids":["https://openalex.org/I58918642"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078838951","display_name":"Dengxin Dai","orcid":"https://orcid.org/0000-0001-5440-9678"},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dengxin Dai","raw_affiliation_strings":["Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbr&#x00FC;cken, Germany","Max Planck Institute for Informatics, Saarland Informatics Campus, Germany"],"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbr&#x00FC;cken, Germany","institution_ids":["https://openalex.org/I4210109712"]},{"raw_affiliation_string":"Max Planck Institute for Informatics, Saarland Informatics Campus, Germany","institution_ids":["https://openalex.org/I4210109712"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5058481699"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.428,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87231796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"48","issue":"3","first_page":"2970","last_page":"2988"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.5364999771118164,"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":0.5364999771118164,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.12240000069141388,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.11810000240802765,"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/perception","display_name":"Perception","score":0.6085000038146973},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.4997999966144562},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4912000000476837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4844000041484833},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48179998993873596},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.44999998807907104},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42489999532699585},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.39160001277923584},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.38909998536109924}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7777000069618225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7739999890327454},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6085000038146973},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5480999946594238},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.4997999966144562},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4912000000476837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4844000041484833},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48179998993873596},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.44999998807907104},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42489999532699585},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.39160001277923584},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.38909998536109924},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3700000047683716},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3546999990940094},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33489999175071716},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.3314000070095062},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.32179999351501465},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.27720001339912415},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.26589998602867126},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.2572999894618988},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.25270000100135803}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3633063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3633063","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:41237037","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41237037","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":94,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W2150066425","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2431874326","https://openalex.org/W2487365028","https://openalex.org/W2557406251","https://openalex.org/W2558027072","https://openalex.org/W2560023338","https://openalex.org/W2732463748","https://openalex.org/W2739759330","https://openalex.org/W2748021867","https://openalex.org/W2781228439","https://openalex.org/W2787091153","https://openalex.org/W2795889831","https://openalex.org/W2798441115","https://openalex.org/W2886934227","https://openalex.org/W2887964057","https://openalex.org/W2888340395","https://openalex.org/W2892614179","https://openalex.org/W2894903065","https://openalex.org/W2895281799","https://openalex.org/W2910628332","https://openalex.org/W2945577597","https://openalex.org/W2952735550","https://openalex.org/W2955058313","https://openalex.org/W2962976523","https://openalex.org/W2963073217","https://openalex.org/W2963107255","https://openalex.org/W2963150697","https://openalex.org/W2963481481","https://openalex.org/W2963730616","https://openalex.org/W2963849369","https://openalex.org/W2963865469","https://openalex.org/W2963943912","https://openalex.org/W2964047820","https://openalex.org/W2964115968","https://openalex.org/W2969893028","https://openalex.org/W2972285644","https://openalex.org/W2981429991","https://openalex.org/W2981689412","https://openalex.org/W2981899103","https://openalex.org/W2982362232","https://openalex.org/W2985406498","https://openalex.org/W2989676862","https://openalex.org/W2990519461","https://openalex.org/W2998545307","https://openalex.org/W3000172657","https://openalex.org/W3004135102","https://openalex.org/W3007868236","https://openalex.org/W3014641072","https://openalex.org/W3034355852","https://openalex.org/W3034417116","https://openalex.org/W3034543232","https://openalex.org/W3035172746","https://openalex.org/W3035236545","https://openalex.org/W3035294798","https://openalex.org/W3035564946","https://openalex.org/W3035574168","https://openalex.org/W3083017137","https://openalex.org/W3087815220","https://openalex.org/W3092663126","https://openalex.org/W3114677757","https://openalex.org/W3119635706","https://openalex.org/W3120804725","https://openalex.org/W3128266990","https://openalex.org/W3159637683","https://openalex.org/W3163617518","https://openalex.org/W3175630421","https://openalex.org/W3176820334","https://openalex.org/W3207649350","https://openalex.org/W3217147624","https://openalex.org/W4226396592","https://openalex.org/W4283066310","https://openalex.org/W4312257162","https://openalex.org/W4312339847","https://openalex.org/W4312426709","https://openalex.org/W4312650415","https://openalex.org/W4312768455","https://openalex.org/W4312775058","https://openalex.org/W4312815172","https://openalex.org/W4313893207","https://openalex.org/W4317038436","https://openalex.org/W4319301015","https://openalex.org/W4368755186","https://openalex.org/W4386047746","https://openalex.org/W4386075540","https://openalex.org/W4386075777","https://openalex.org/W4390872770","https://openalex.org/W4390874575","https://openalex.org/W4406354751"],"related_works":[],"abstract_inverted_index":{"Level-5":[0],"driving":[1,19],"automation":[2],"requires":[3],"a":[4,68,96,101,112],"robust":[5],"visual":[6,63],"perception":[7,24,59],"system":[8],"that":[9,115,173],"can":[10],"parse":[11],"input":[12],"images":[13,29,131,139],"under":[14,31,108],"any":[15],"condition.":[16],"However,":[17],"existing":[18],"datasets":[20],"for":[21,51,56],"dense":[22],"semantic":[23,58,124,148,164],"are":[25,35,78],"either":[26],"dominated":[27],"by":[28],"captured":[30],"normal":[32,109],"conditions":[33],"or":[34],"small":[36],"in":[37,193,197],"scale.":[38],"To":[39],"address":[40],"this,":[41],"we":[42],"introduce":[43],"ACDC,":[44],"the":[45,105,128,136,144,160,171,174,188,198],"Adverse":[46],"Conditions":[47],"Dataset":[48],"with":[49,95],"Correspondences":[50],"training":[52],"and":[53,89,111,122,154,183,186],"testing":[54],"methods":[55],"diverse":[57],"tasks":[60,146],"on":[61],"adverse":[62,84,175],"conditions.":[64],"ACDC":[65,142,178],"consists":[66],"of":[67,71,75,104,120,127,147,177,190],"large":[69],"set":[70],"8012":[72],"images,":[73],"half":[74],"which":[76],"(4006)":[77],"equally":[79],"distributed":[80],"between":[81,117],"four":[82],"common":[83],"conditions:":[85],"fog,":[86],"nighttime,":[87],"rain,":[88],"snow.":[90],"Each":[91],"adverse-condition":[92],"image":[93,103],"comes":[94],"high-quality":[97],"pixel-level":[98],"panoptic":[99,133,155],"annotation,":[100],"corresponding":[102,129],"same":[106],"scene":[107],"conditions,":[110],"binary":[113],"mask":[114],"distinguishes":[116],"intra-image":[118],"regions":[119],"clear":[121],"uncertain":[123],"content.":[125],"1503":[126],"normal-condition":[130],"feature":[132],"annotations,":[134],"raising":[135],"total":[137],"annotated":[138],"to":[140,180],"5509.":[141],"supports":[143],"standard":[145],"segmentation,":[149,153,156],"object":[150],"detection,":[151],"instance":[152],"as":[157,159],"well":[158],"newly":[161],"introduced":[162],"uncertainty-aware":[163],"segmentation.":[165],"A":[166],"detailed":[167],"empirical":[168],"study":[169],"demonstrates":[170],"challenges":[172],"domains":[176],"pose":[179],"state-of-the-art":[181],"supervised":[182],"unsupervised":[184],"approaches":[185],"indicates":[187],"value":[189],"our":[191],"dataset":[192],"steering":[194],"future":[195],"progress":[196],"field.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}
