{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T16:36:00Z","timestamp":1742920560522,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030712136"},{"type":"electronic","value":"9783030712143"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-71214-3_11","type":"book-chapter","created":{"date-parts":[[2021,3,24]],"date-time":"2021-03-24T11:04:17Z","timestamp":1616583857000},"page":"129-139","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Unsupervised Training of Denoising Networks"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4185-3491","authenticated-orcid":false,"given":"Alexey","family":"Kovalenko","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0567-7614","authenticated-orcid":false,"given":"Yana","family":"Demyanenko","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,3,25]]},"reference":[{"key":"11_CR1","unstructured":"Lehtinen, J., Munkberg, J., Laine, S., Karras, T., Aittala, M., Aila, T.: Noise2Noise: learning image restoration without clean data. CoRR abs\/1803.04189 (2018). http:\/\/arxiv.org\/abs\/1803.04189"},{"key":"11_CR2","unstructured":"Brooks, T., Mildenhall, B., Xue, T., Chen, J., Sharlet, D., Barron, J.: Unprocessing images for learned raw denoising. CoRR abs\/1811.11127 (2018). http:\/\/arxiv.org\/abs\/1811.11127"},{"key":"11_CR3","unstructured":"Plotz, T., Roth, S.: Benchmarking denoising algorithms with real photographs. CoRR abs\/1707.0131 (2017). http:\/\/arxiv.org\/abs\/1707.01313"},{"key":"11_CR4","unstructured":"Krull, A., Buchholz, T.-O., Jug, F.: Noise2Void - learning denoising from single noisy images. CoRR abs\/1811.10980 (2018). http:\/\/arxiv.org\/abs\/1811.10980"},{"key":"11_CR5","unstructured":"Batson, J., Royer, L.: Noise2Self: blind denoising by self-supervision. CoRR abs\/1901.11365 (2019). https:\/\/arxiv.org\/abs\/1901.11365"},{"key":"11_CR6","unstructured":"Ulyanov, D., Vedaldi, A., Lempitsky, V.: Deep image prior. CoRR abs\/1711.10925 (2017). https:\/\/arxiv.org\/abs\/1711.10925"},{"key":"11_CR7","unstructured":"GSMARENA. https:\/\/www.gsmarena.com\/apple_iphone_x-8858.php. Accessed 20 Jun 2020"},{"key":"11_CR8","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. CoRR abs\/1512.03385 (2015). http:\/\/arxiv.org\/abs\/1512.03385"},{"key":"11_CR9","unstructured":"Liyuan, L., et al.: On the variance of the adaptive learning rate and beyond. CoRR abs\/1908.03265 (2019). http:\/\/arxiv.org\/abs\/1908.03265"},{"key":"11_CR10","unstructured":"Ayhan, M., Berens, P.: Test-time data augmentation for estimation of heteroscedastic aleatoric uncertainty in deep neural networks. In: MIDL 2018 Conference (2018). https:\/\/openreview.net\/forum?id=rJZz-knjz"},{"key":"11_CR11","doi-asserted-by":"publisher","DOI":"10.5201\/ipol.2011.bcm_nlm","author":"A Buades","year":"2011","unstructured":"Buades, A., Coll, B., Morel, J.-M.: Median filtering: a new insight. Image Process. On Line (2011). https:\/\/doi.org\/10.5201\/ipol.2011.bcm_nlm","journal-title":"Image Process. On Line"}],"container-title":["Communications in Computer and Information Science","Recent Trends in Analysis of Images, Social Networks and Texts"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-71214-3_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,24]],"date-time":"2021-04-24T00:49:38Z","timestamp":1619225378000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-71214-3_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030712136","9783030712143"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-71214-3_11","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"25 March 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIST","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Analysis of Images, Social Networks and Texts","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Moscow","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Russia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aist2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aistconf.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"108","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"41","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"13","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.1","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.33","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Due to the COVID-19 pandemic the conference was held online","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}