{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:21:52Z","timestamp":1742912512643,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030923068"},{"type":"electronic","value":"9783030923075"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/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":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-92307-5_12","type":"book-chapter","created":{"date-parts":[[2021,12,6]],"date-time":"2021-12-06T14:04:20Z","timestamp":1638799460000},"page":"98-105","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-scale Feature Fusion Network with\u00a0Positional Normalization for\u00a0Single Image Dehazing"],"prefix":"10.1007","author":[{"given":"Bin","family":"Hu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhuangzhuang","family":"Yue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuehua","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,12,2]]},"reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"McCartney, E.J., Hall, F.: Optics of the atmosphere: scattering by molecules and particles. Phys. Today 24, 76\u201377 (1976)","DOI":"10.1063\/1.3037551"},{"key":"12_CR2","unstructured":"He, K.-M., Sun, J., Tang, X.: Single image haze removal using dark channel prior. In: CVPR, pp. 1956\u20131963. IEEE Press, New York (2009)"},{"issue":"18","key":"12_CR3","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1016\/j.neucom.2017.04.034","volume":"260","author":"M Ju","year":"2017","unstructured":"Ju, M., Gu, Z.-F., Zhang, D.-Y.: Single image haze removal based on the improved atmospheric scattering model. Neurocomputing 260(18), 180\u2013191 (2017)","journal-title":"Neurocomputing"},{"issue":"11","key":"12_CR4","doi-asserted-by":"publisher","first-page":"5187","DOI":"10.1109\/TIP.2016.2598681","volume":"25","author":"B Cai","year":"2016","unstructured":"Cai, B., Xu, X., Jia, K., et al.: DehazeNet: an end-to-end system for single image haze removal. IEEE Trans. Image Process. 25(11), 5187\u20135198 (2016)","journal-title":"IEEE Trans. Image Process."},{"key":"12_CR5","doi-asserted-by":"crossref","unstructured":"Kim, G., Ha, S., Kwon, J. : Adaptive patch based convolutional neural network for robust dehazing. In: ICIP, pp. 2845\u20132849. IEEE Press, New York (2018)","DOI":"10.1109\/ICIP.2018.8451252"},{"key":"12_CR6","unstructured":"Li, B.-Y., Wu, F.-L., Kilian, Q., et al.: Positional normalization. In: NIPS, pp. 1620\u20131632. MIT press, Cambridge (2017)"},{"issue":"10","key":"12_CR7","doi-asserted-by":"publisher","first-page":"5178","DOI":"10.1109\/TIP.2018.2849928","volume":"27","author":"Q Liu","year":"2018","unstructured":"Liu, Q., Gao, X., He, L., et al.: Single image dehazing with depth-aware non-local total variation regularization. IEEE Trans. Image Process. 27(10), 5178\u20135191 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"12_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1007\/978-3-319-46475-6_10","volume-title":"Computer Vision \u2013 ECCV 2016","author":"W Ren","year":"2016","unstructured":"Ren, W., Liu, S., Zhang, H., Pan, J., Cao, X., Yang, M.-H.: Single image dehazing via multi-scale convolutional neural networks. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9906, pp. 154\u2013169. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46475-6_10"},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Li, B., Peng, X., Wang, Z., et al.: Aod-net: all-in-one dehazing network. In: CVPR, pp. 4770\u20134778, IEEE press, New York (2016)","DOI":"10.1109\/ICCV.2017.511"},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Liu, X., Ma, Y., Shi, Z., et al.: GridDehazeNet: attention-based multi-scale network for image dehazing. In: ICCV, pp. 7313\u20137322. IEEE (2019)","DOI":"10.1109\/ICCV.2019.00741"},{"key":"12_CR11","doi-asserted-by":"crossref","unstructured":"Qu, Y., Chen, Y., Huang, J., Xie, Y.: Enhanced pix2pix dehazing network. In: ICCV, pp. 8160\u20138168. IEEE (2019)","DOI":"10.1109\/CVPR.2019.00835"},{"key":"12_CR12","doi-asserted-by":"crossref","unstructured":"Ren, W., et al.: Gated fusion network for single image dehazing. In: CVPR, pp. 3253\u20133261. IEEE (2018)","DOI":"10.1109\/CVPR.2018.00343"},{"key":"12_CR13","doi-asserted-by":"crossref","unstructured":"Qin, X., Wang, Z., Bai, Y., et al.: FFA-Net: feature fusion attention network for single image dehazing. In: AAAI, vol. 34(7), pp. 11908\u201311915. AAAI press, Palo Alto (2020)","DOI":"10.1609\/aaai.v34i07.6865"},{"key":"12_CR14","doi-asserted-by":"crossref","unstructured":"Hu, J., Shen, L., Sun, G.: Squeeze-and-Excitation networks. In: CVPR, pp. 7132\u20137141. IEEE press, New York (2018)","DOI":"10.1109\/CVPR.2018.00745"},{"issue":"1","key":"12_CR15","doi-asserted-by":"publisher","first-page":"492","DOI":"10.1109\/TIP.2018.2867951","volume":"28","author":"B Li","year":"2019","unstructured":"Li, B., Ren, W., Fu, D., et al.: Benchmarking single-image dehazing and beyond. IEEE Trans. Image Process. 28(1), 492\u2013505 (2019)","journal-title":"IEEE Trans. Image Process."},{"issue":"1","key":"12_CR16","first-page":"1","volume":"34","author":"F Raanan","year":"2014","unstructured":"Raanan, F.: Dehazing using color-lines. ACM Trans. Graph. 34(1), 1\u201314 (2014)","journal-title":"ACM Trans. Graph."}],"container-title":["Communications in Computer and Information Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-92307-5_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,6]],"date-time":"2021-12-06T14:25:55Z","timestamp":1638800755000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-92307-5_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030923068","9783030923075"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-92307-5_12","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":"2 December 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sanur, Bali","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Indonesia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iconip2021.apnns.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-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":"1093","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":"226","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":"177","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":"21% - 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":"2.57","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":"6","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)"}}]}}