{"id":"https://openalex.org/W4400908884","doi":"https://doi.org/10.1109/siu61531.2024.10600771","title":"Self-Supervised Dense Visual Representation Learning","display_name":"Self-Supervised Dense Visual Representation Learning","publication_year":2024,"publication_date":"2024-05-15","ids":{"openalex":"https://openalex.org/W4400908884","doi":"https://doi.org/10.1109/siu61531.2024.10600771"},"language":"en","primary_location":{"id":"doi:10.1109/siu61531.2024.10600771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10600771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5109751249","display_name":"Timoteos Onur \u00d6z\u00e7el\u0130k","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Timoteos Onur \u00d6z\u00e7el\u0130k","raw_affiliation_strings":["Boğaziçi Üniversitesi,Bilgisayar Mühendisliği,˙Istanbul,Türkiye"],"affiliations":[{"raw_affiliation_string":"Boğaziçi Üniversitesi,Bilgisayar Mühendisliği,˙Istanbul,Türkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007787982","display_name":"Berk G\u00f6kberk","orcid":"https://orcid.org/0000-0001-6299-1610"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Berk G\u00f6kberk","raw_affiliation_strings":["Boğaziçi Üniversitesi,Bilgisayar Mühendisliği,˙Istanbul,Türkiye"],"affiliations":[{"raw_affiliation_string":"Boğaziçi Üniversitesi,Bilgisayar Mühendisliği,˙Istanbul,Türkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064788653","display_name":"Lale Akarun","orcid":"https://orcid.org/0000-0002-8813-8084"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lale Akarun","raw_affiliation_strings":["Boğaziçi Üniversitesi,Bilgisayar Mühendisliği,˙Istanbul,Türkiye"],"affiliations":[{"raw_affiliation_string":"Boğaziçi Üniversitesi,Bilgisayar Mühendisliği,˙Istanbul,Türkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109751249"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09179389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9355000257492065,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9355000257492065,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.930400013923645,"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":0.9272000193595886,"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":0.7543760538101196},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5958474278450012},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5862522125244141},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.378641277551651},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3311440646648407}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7543760538101196},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5958474278450012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5862522125244141},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.378641277551651},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3311440646648407},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu61531.2024.10600771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10600771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W2058170566","https://openalex.org/W4306674287","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407"],"abstract_inverted_index":{"Self-supervised":[0],"representation":[1],"learning":[2,53],"has":[3],"shown":[4],"promising":[5],"results":[6],"in":[7,51,64,103,113],"recent":[8],"years.":[9],"However,":[10],"most":[11,65],"of":[12,66],"the":[13,46,67,130],"proposed":[14,131],"methods":[15],"are":[16],"pre-trained":[17,33],"on":[18,34],"object-centric":[19],"datasets":[20,37],"with":[21,38],"image-level":[22],"pretext":[23],"tasks.":[24],"In":[25,69,82],"this":[26],"study,":[27],"we":[28,74,86],"follow":[29],"DenseCL,":[30],"which":[31],"is":[32,43],"pixel-level":[35],"scene-centric":[36],"contrastive":[39,52],"learning.":[40],"Our":[41,57],"goal":[42],"to":[44],"alleviate":[45],"false":[47],"negative":[48],"pairing":[49],"problem":[50],"by":[54,97],"consistency":[55],"regularization.":[56],"method":[58],"outperforms":[59],"DenseCL":[60],"and":[61,78,90,100,107,110,122],"PixContrast":[62],"models":[63],"scenarios.":[68],"PASCAL":[70,114],"VOC":[71,115],"object":[72,84],"detection,":[73,85],"see":[75],"0.2%":[76],"AP50":[77],"0.3%":[79,88],"AP":[80,89,92,99,102],"improvements.":[81],"COCO":[83,104],"get":[87],"0.7%":[91],"boosts.":[93],"We":[94],"also":[95],"improve":[96],"0.4%":[98],"0.6%":[101],"instance":[105],"segmentation,":[106],"0.1%":[108],"mAP":[109,112],"0.9%":[111],"semantic":[116],"segmentation.":[117],"Moreover,":[118],"attention":[119],"map":[120],"visualization":[121],"k-nearest":[123],"neighbour":[124],"retrieval":[125],"indicate":[126],"qualitative":[127],"improvement":[128],"from":[129],"method.":[132]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}