{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T06:44:05Z","timestamp":1757313845724,"version":"3.28.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,5]],"date-time":"2021-07-05T00:00:00Z","timestamp":1625443200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,5]],"date-time":"2021-07-05T00:00:00Z","timestamp":1625443200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,5]]},"DOI":"10.1109\/icme51207.2021.9428446","type":"proceedings-article","created":{"date-parts":[[2021,6,9]],"date-time":"2021-06-09T17:14:21Z","timestamp":1623258861000},"page":"1-6","source":"Crossref","is-referenced-by-count":11,"title":["Pyramid Feature Attention Network for Monocular Depth Prediction"],"prefix":"10.1109","author":[{"given":"Yifang","family":"Xu","sequence":"first","affiliation":[{"name":"Nanjing University,Nanjing Institute of Advanced Artificial Intelligence,Nanjing,China"}]},{"given":"Chenglei","family":"Peng","sequence":"additional","affiliation":[{"name":"Nanjing University,Nanjing Institute of Advanced Artificial Intelligence,Nanjing,China"}]},{"given":"Ming","family":"Li","sequence":"additional","affiliation":[{"name":"Nanjing University,Nanjing Institute of Advanced Artificial Intelligence,Nanjing,China"}]},{"given":"Yang","family":"Li","sequence":"additional","affiliation":[{"name":"Nanjing University,Nanjing Institute of Advanced Artificial Intelligence,Nanjing,China"}]},{"given":"Sidan","family":"Du","sequence":"additional","affiliation":[{"name":"Nanjing University,Nanjing Institute of Advanced Artificial Intelligence,Nanjing,China"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00388"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.596"},{"key":"ref12","article-title":"Learning depth from single monocular images","author":"saxena","year":"2005","journal-title":"NIPS"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.304"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.32"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_4"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00835"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00578"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref3","article-title":"From big to small: Multi-scale local planar guidance for monocular depth estimation","volume":"abs 1907 10326","author":"han lee","year":"2019","journal-title":"CoRR"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref8","article-title":"Bidirectional attention network for monocular depth estimation","volume":"abs 2009 743","author":"aich","year":"2020","journal-title":"CoRR"},{"key":"ref7","article-title":"High quality monocular depth estimation via transfer learning","volume":"abs 1812 11941","author":"alhashim","year":"2018","journal-title":"CoRR"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00214"},{"key":"ref1","first-page":"2366","article-title":"Depth map prediction from a single image using a multi-scale deep network","author":"eigen","year":"2014","journal-title":"NIPS"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58568-6_6"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"}],"event":{"name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2021,7,5]]},"location":"Shenzhen, China","end":{"date-parts":[[2021,7,9]]}},"container-title":["2021 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9428049\/9428068\/09428446.pdf?arnumber=9428446","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T17:28:02Z","timestamp":1656350882000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9428446\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,5]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/icme51207.2021.9428446","relation":{},"subject":[],"published":{"date-parts":[[2021,7,5]]}}}