Web: http://arxiv.org/abs/2112.04684

Jan. 13, 2022, 2:10 a.m. | Stefan Wapnick, Travis Manderson, David Meger, Gregory Dudek

cs.LG updates on arXiv.org arxiv.org

We present a reward-predictive, model-based deep learning method featuring
trajectory-constrained visual attention for use in mapless, local visual
navigation tasks. Our method learns to place visual attention at locations in
latent image space which follow trajectories caused by vehicle control actions
to enhance predictive accuracy during planning. The attention model is jointly
optimized by the task-specific loss and an additional trajectory-constraint
loss, allowing adaptability yet encouraging a regularized structure for
improved generalization and reliability. Importantly, visual attention is
applied in latent feature map space instead of raw image space to …

arxiv attention deep for

Statistics and Computer Science Specialist

@ Hawk-Research | Remote

Data Scientist, Credit/Fraud Strategy

@ Fora Financial | New York City

Postdoctoral Research Associate - Biomedical Natural Language Processing and Deep Learning

@ Oak Ridge National Laboratory - Oak Ridge, TN | Oak Ridge, TN, United States

Senior Machine Learning / Computer Vision Engineer

@ Glass Imaging | Los Altos, CA

Research Scientist in Biomedical Natural Language Processing and Deep Learning

@ Oak Ridge National Laboratory | Oak Ridge, TN

W3-Professorship for Intelligent Energy Management

@ Universität Bayreuth | Bayreuth, Germany