Web: http://arxiv.org/abs/2206.03010

June 23, 2022, 1:13 a.m. | Zhifeng Ma, Hao Zhang, Jie Liu

cs.CV updates on arXiv.org arxiv.org

Spatiotemporal predictive learning, which predicts future frames through
historical prior knowledge with the aid of deep learning, is widely used in
many fields. Previous work essentially improves the model performance by
widening or deepening the network, but it also brings surging memory overhead,
which seriously hinders the development and application of this technology. In
order to improve the performance without increasing memory consumption, we
focus on scale, which is another dimension to improve model performance but
with low memory requirement. …

arxiv cv framework learning predictive rnn scale

More from arxiv.org / cs.CV updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY