{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:07:09Z","timestamp":1740100029871,"version":"3.37.3"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100007225","name":"Ministry of Science and Technology","doi-asserted-by":"publisher","award":["MOST 109-2634-F-009-015,MOST 109-2636-E-009-018"],"award-info":[{"award-number":["MOST 109-2634-F-009-015,MOST 109-2636-E-009-018"]}],"id":[{"id":"10.13039\/100007225","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,1,10]]},"DOI":"10.1109\/icpr48806.2021.9411998","type":"proceedings-article","created":{"date-parts":[[2021,5,6]],"date-time":"2021-05-06T02:15:54Z","timestamp":1620267354000},"page":"7050-7057","source":"Crossref","is-referenced-by-count":2,"title":["Real-time Monocular Depth Estimation with Extremely Light-Weight Neural Network"],"prefix":"10.1109","author":[{"given":"Mian-Jhong","family":"Chiu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei-Chen","family":"Chiu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hua-Tsung","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jen-Hui","family":"Chuang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ROBIO49542.2019.8961504"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20893-6_19"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593814"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803544"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794220"},{"key":"ref15","first-page":"2366","article-title":"Depth map prediction from a single image using a multi-scale deep network","author":"eigen","year":"2014","journal-title":"Proc of Advances in Neural Information Processing systems"},{"key":"ref16","article-title":"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 0.5 MB model size","author":"iandola","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref17","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_50"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299152"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00296"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00214"},{"key":"ref6","article-title":"Digging into self-supervised monocular depth estimation","author":"godard","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref29","first-page":"1161","article-title":"Learning depth from single monocular images","author":"saxena","year":"2006","journal-title":"Proc of Advances in Neural Information Processing systems"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.699"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00273"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00212"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.32"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.238"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.791261"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00567"},{"key":"ref22","first-page":"3712","article-title":"Taskonomy: Disentangling task transfer learning","author":"zamir","year":"0","journal-title":"Proc of IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00024"},{"key":"ref23","article-title":"The berhu penalty and the grouped effect","author":"zwald","year":"2012","journal-title":"ArXiv Preprint"},{"key":"ref26","first-page":"484","article-title":"Learning monocular depth by distilling cross-domain stereo networks","author":"guo","year":"0","journal-title":"Proc of European Conference on Computer Vision"},{"key":"ref25","article-title":"Every pixel count++: Joint learning of geometry and motion with 3D holistic understanding","author":"luo","year":"2018","journal-title":"ArXiv Preprint"}],"event":{"name":"2020 25th International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2021,1,10]]},"location":"Milan, Italy","end":{"date-parts":[[2021,1,15]]}},"container-title":["2020 25th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9411940\/9411911\/09411998.pdf?arnumber=9411998","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:40:57Z","timestamp":1652197257000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9411998\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,10]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/icpr48806.2021.9411998","relation":{},"subject":[],"published":{"date-parts":[[2021,1,10]]}}}