{"id":"https://openalex.org/W4379351583","doi":"https://doi.org/10.1145/3583788.3583813","title":"Self-supervised Depth Completion with Adaptive Online Adaptation","display_name":"Self-supervised Depth Completion with Adaptive Online Adaptation","publication_year":2023,"publication_date":"2023-01-05","ids":{"openalex":"https://openalex.org/W4379351583","doi":"https://doi.org/10.1145/3583788.3583813"},"language":"en","primary_location":{"id":"doi:10.1145/3583788.3583813","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583788.3583813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 The 7th International Conference on Machine Learning and Soft Computing (ICMLSC)","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/A5092085703","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0002-0457-3637"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Chen","raw_affiliation_strings":["Southeast University, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101619772","display_name":"Yang Tan","orcid":"https://orcid.org/0000-0003-4673-9225"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Tan","raw_affiliation_strings":["Southeast University, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5092085703"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.123,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37930623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"168","last_page":"174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9987999796867371,"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":0.8267788887023926},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.8176784515380859},{"id":"https://openalex.org/keywords/online-model","display_name":"Online model","score":0.6694167256355286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5680763125419617},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.551882266998291},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5272884964942932}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8267788887023926},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.8176784515380859},{"id":"https://openalex.org/C2777851325","wikidata":"https://www.wikidata.org/wiki/Q7094102","display_name":"Online model","level":2,"score":0.6694167256355286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5680763125419617},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.551882266998291},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5272884964942932},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583788.3583813","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583788.3583813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 The 7th International Conference on Machine Learning and Soft Computing (ICMLSC)","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":9,"referenced_works":["https://openalex.org/W2029308066","https://openalex.org/W2150066425","https://openalex.org/W2922023437","https://openalex.org/W2985775862","https://openalex.org/W3003796433","https://openalex.org/W3080631149","https://openalex.org/W3165495321","https://openalex.org/W3206335707","https://openalex.org/W4234552385"],"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":{"Although":[0],"depth":[1,152],"completion":[2],"has":[3,104],"achieved":[4],"remarkable":[5],"performance":[6,20],"relying":[7],"on":[8,127,189],"deep":[9],"learning":[10],"in":[11,34,64,73,192],"recent":[12],"years,":[13],"these":[14],"models":[15],"tend":[16],"to":[17,24,44,56,75,88,106,116,122,145,158],"suffer":[18],"a":[19,35,41,114,143],"degradation":[21,68],"when":[22,95,102,135,160],"exposed":[23],"new":[25],"environments.":[26],"Online":[27],"adaptation,":[28],"where":[29],"the":[30,46,54,60,70,107,118,123,136,147,176,187],"model":[31,55,71,90,103,121,179,188],"is":[32,138],"trained":[33],"self-supervised":[36],"manner":[37],"during":[38],"testing,":[39],"seems":[40],"promising":[42],"technique":[43],"alleviate":[45],"drop.":[47],"However,":[48],"continuous":[49],"online":[50,85,93,133,156,161,193],"adaptation":[51,86,94,101,134,157,162],"may":[52],"cause":[53],"over-adapt":[57],"and":[58,99,130,151,154,181],"miss":[59],"optimal":[61],"parameters,":[62],"resulting":[63],"oscillation":[65],"or":[66],"even":[67],"of":[69,120,178,186],"performance,":[72],"addition":[74],"wasting":[76],"computational":[77],"resources.":[78],"Therefore,":[79],"this":[80],"paper":[81],"proposes":[82],"an":[83],"adaptive":[84],"framework":[87],"make":[89],"adaptively":[91],"trigger":[92,115],"encountering":[96],"novel":[97],"environments":[98],"stop":[100],"adapted":[105],"current":[108,124],"environment.":[109],"In":[110],"detail,":[111],"we":[112,141],"design":[113],"detect":[117],"familiarity":[119],"scenario":[125,137],"based":[126],"image":[128],"similarity":[129],"then":[131],"launch":[132],"novel.":[139],"Besides,":[140],"elaborate":[142],"stopper":[144],"monitor":[146],"error":[148],"between":[149],"prediction":[150,180],"input":[153],"convert":[155],"inference":[159],"does":[163],"not":[164],"bring":[165],"improvement":[166],"for":[167],"model.":[168],"Experimental":[169],"results":[170],"demonstrate":[171],"that":[172],"our":[173],"method":[174],"improves":[175],"accuracy":[177],"increases":[182],"average":[183],"running":[184],"speed":[185],"each":[190],"frame":[191],"adaptation.":[194]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}