all AI news
Temporally Resolution Decrement: Utilizing the Shape Consistency for Higher Computational Efficiency. (arXiv:2112.00954v2 [cs.CV] UPDATED)
May 26, 2022, 1:13 a.m. | Tianshu Xie, Xuan Cheng, Minghui Liu, Jiali Deng, Xiaomin Wang, Ming Liu
cs.CV updates on arXiv.org arxiv.org
Image resolution that has close relations with accuracy and computational
cost plays a pivotal role in network training. In this paper, we observe that
the reduced image retains relatively complete shape semantics but loses
extensive texture information. Inspired by the consistency of the shape
semantics as well as the fragility of the texture information, we propose a
novel training strategy named Temporally Resolution Decrement. Wherein, we
randomly reduce the training images to a smaller resolution in the time domain.
During …
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Data Scientist, Senior
@ Pacific Gas and Electric Company | Oakland, CA, US, 94612
AML Reporting Data Specialist
@ Wise | Tallinn, Estonia
Bachelorarbeit im Bereich IT - "Einsatz von Generative AI im Konzernumfeld" (WiSe 24/25)
@ AGCO | Marktoberdorf, DE
Big Data Engineer
@ ACL Technology | Argentina
REF25217Q-Deputy Manager - MIS (Power BI, Dashboard, Excel) - GGN
@ WNS Global Services | Gurgaon, India