{"id":"https://openalex.org/W4391129484","doi":"https://doi.org/10.1109/iccp60212.2023.10398667","title":"Scene Understanding: Do we even need Labels and Data ?","display_name":"Scene Understanding: Do we even need Labels and Data ?","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4391129484","doi":"https://doi.org/10.1109/iccp60212.2023.10398667"},"language":"en","primary_location":{"id":"doi:10.1109/iccp60212.2023.10398667","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/iccp60212.2023.10398667","pdf_url":"https://ieeexplore.ieee.org/ielx7/10398601/10398603/10398667.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"},"type":"conference-abstract","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/10398601/10398603/10398667.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010261257","display_name":"Raoul de Charette","orcid":"https://orcid.org/0000-0003-3738-1962"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Raoul De Charette","raw_affiliation_strings":["Astra Team at INRIA,Paris,France","Astra Team at INRIA, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Astra Team at INRIA,Paris,France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Astra Team at INRIA, Paris, France","institution_ids":["https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5010261257"],"corresponding_institution_ids":["https://openalex.org/I1326498283"],"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":"xi","last_page":"xi"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9764000177383423,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9764000177383423,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.964900016784668,"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":0.9596999883651733,"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/computer-science","display_name":"Computer science","score":0.7254849672317505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.535834014415741},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5144451260566711},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4793066084384918},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46640199422836304},{"id":"https://openalex.org/keywords/real-world-data","display_name":"Real world data","score":0.45263493061065674}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7254849672317505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.535834014415741},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5144451260566711},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4793066084384918},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46640199422836304},{"id":"https://openalex.org/C3020493868","wikidata":"https://www.wikidata.org/wiki/Q55631277","display_name":"Real world data","level":2,"score":0.45263493061065674},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp60212.2023.10398667","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/iccp60212.2023.10398667","pdf_url":"https://ieeexplore.ieee.org/ielx7/10398601/10398603/10398667.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/iccp60212.2023.10398667","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/iccp60212.2023.10398667","pdf_url":"https://ieeexplore.ieee.org/ielx7/10398601/10398603/10398667.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391129484.pdf","grobid_xml":"https://content.openalex.org/works/W4391129484.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Despite":[0],"their":[1],"ever":[2],"growing":[3],"sizes,":[4],"computer":[5],"vision":[6,109],"datasets":[7,98],"are":[8],"doomed":[9],"to":[10,39],"reflect":[11],"only":[12],"a":[13],"tiny":[14],"fraction":[15],"of":[16,56,73,96],"our":[17,64,71],"world.":[18],"The":[19],"induced":[20],"biases":[21],"raise":[22],"ethical":[23],"issues":[24],"and":[25,61,76,80],"show":[26],"that":[27],"blind":[28],"reliance":[29],"on":[30],"data":[31,77],"can":[32],"have":[33],"critical":[34],"outcomes":[35],"when":[36],"it":[37],"comes":[38],"applications":[40],"like":[41],"autonomous":[42],"driving.":[43],"In":[44],"this":[45],"talk,":[46],"we":[47,68,91,101],"will":[48,69],"investigate":[49],"visual":[50],"scene":[51,83],"understanding":[52,84],"in":[53,112],"the":[54,93,113],"era":[55],"large-scale":[57],"datasets,":[58],"self-supervised":[59],"learning":[60,75],"LLMs.":[62],"Following":[63],"recently":[65],"published":[66],"research":[67],"question":[70],"use":[72,95],"machine":[74],"for":[78],"real":[79],"open":[81],"world":[82],"by":[85],"navigating":[86],"through":[87],"these":[88],"questions:":[89],"Are":[90],"making":[92],"best":[94],"existing":[97],"?":[99,107],"Can":[100,108],"benefit":[102],"from":[103],"more":[104],"knowledge":[105],"priors":[106],"algorithms":[110],"perform":[111],"unknown":[114],"open-world?":[115]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}