{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,27]],"date-time":"2024-12-27T05:15:24Z","timestamp":1735276524476,"version":"3.32.0"},"reference-count":51,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T00:00:00Z","timestamp":1728864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T00:00:00Z","timestamp":1728864000000},"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":[[2024,10,14]]},"DOI":"10.1109\/iros58592.2024.10801638","type":"proceedings-article","created":{"date-parts":[[2024,12,25]],"date-time":"2024-12-25T19:17:39Z","timestamp":1735154259000},"page":"10051-10058","source":"Crossref","is-referenced-by-count":0,"title":["Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization"],"prefix":"10.1109","author":[{"given":"Cho-Ying","family":"Wu","sequence":"first","affiliation":[{"name":"University of Southern California,Department of Computer Science,Los Angeles,CA,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiqi","family":"Zhong","sequence":"additional","affiliation":[{"name":"University of Southern California,Department of Computer Science,Los Angeles,CA,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junying","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Southern California,Department of Computer Science,Los Angeles,CA,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ulrich","family":"Neumann","sequence":"additional","affiliation":[{"name":"University of Southern California,Department of Computer Science,Los Angeles,CA,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00400"},{"article-title":"Zoedepth: Zero-shot transfer by combining relative and metric depth","year":"2023","author":"Bhat","key":"ref2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2953465"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00305"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00893"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00893"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01254"},{"key":"ref8","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","author":"Finn","year":"2017","journal-title":"ICML"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2012.6225245"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01436"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.699"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00393"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00824"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01093"},{"article-title":"Task agnostic continual learning via meta learning","year":"2019","author":"He","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44668-0_13"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3079209"},{"article-title":"Global-local path networks for monocular depth estimation with vertical cutdepth","year":"2022","author":"Kim","key":"ref18"},{"article-title":"From big to small: Multi-scale local planar guidance for monocular depth estimation","year":"2019","author":"Lee","key":"ref19"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01243"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11633-023-1458-0"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00489"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3032104"},{"article-title":"On first-order meta-learning algorithms","year":"2018","author":"Nichol","key":"ref24"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01257"},{"key":"ref26","article-title":"Habitat-matterport 3D dataset (HM3D): 1000 large-scale 3D environments for embodied AI","author":"Ramakrishnan","year":"2021","journal-title":"NeurIPS Datasets and Benchmarks Track"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01196"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2020.3019967"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01073"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01255"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8463204"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00729"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33715-4_54"},{"article-title":"The replica dataset: A digital replica of indoor spaces","year":"2019","author":"Straub","key":"ref34"},{"article-title":"Learn to adapt for monocular depth estimation","year":"2022","author":"Sun","key":"ref35"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460968"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9811921"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00989"},{"key":"ref39","article-title":"Learning a visuomotor controller for real world robotic grasping using simulated depth images","author":"Viereck","year":"2017","journal-title":"CoRL"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00379"},{"key":"ref41","article-title":"Improving generalization in meta-learning via task augmentation","author":"Yao","year":"2021","journal-title":"ICML"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00578"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00027"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00389"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00822"},{"key":"ref46","article-title":"mixup: Beyond empirical risk minimization","author":"Zhang","year":"2018","journal-title":"ICLR"},{"article-title":"Online adaptation through meta-learning for stereo depth estimation","year":"2019","author":"Zhang","key":"ref47"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00455"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00339"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00621"},{"key":"ref51","article-title":"T2net: Synthetic-to-realistic translation for solving single-image depth estimation tasks","author":"Zheng","year":"2018","journal-title":"ECCV"}],"event":{"name":"2024 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","start":{"date-parts":[[2024,10,14]]},"location":"Abu Dhabi, United Arab Emirates","end":{"date-parts":[[2024,10,18]]}},"container-title":["2024 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10801246\/10801290\/10801638.pdf?arnumber=10801638","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T06:57:38Z","timestamp":1735196258000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10801638\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,14]]},"references-count":51,"URL":"https:\/\/doi.org\/10.1109\/iros58592.2024.10801638","relation":{},"subject":[],"published":{"date-parts":[[2024,10,14]]}}}