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Found 4 papers, 1 papers with code
Deep Perspective Transformation Based Vehicle Localization on Bird's Eye View
An accurate understanding of a self-driving vehicle's surrounding environment is crucial for its navigation system.
TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training
In this work, first we present a novel approach to add the training ability to a baseline DNN accelerator (inference only) by splitting the SGD algorithm into simple computational elements.
Unlucky Explorer: A Complete non-Overlapping Map Exploration
Then, we have investigated to find suitable methods by a focus on Monte-Carlo Tree Search (MCTS) and SAT to solve this puzzle quickly and accurately.
On the Resilience of Deep Learning for Reduced-voltage FPGAs
This paper experimentally evaluates the resilience of the training phase of DNNs in the presence of voltage underscaling related faults of FPGAs, especially in on-chip memories.
