5 citations · 8 across the 10 of their papers we have counts for
3 papers · 1 filter
Exploring the Interchangeability of CNN Embedding Spaces
David McNeely-White, Benjamin Sattelberg, Nathaniel Blanchard +1
CNN feature spaces can be linearly mapped and consequently are often interchangeable. This equivalence holds across variations in architectures, training datasets, and network task…
A Pose Proposal and Refinement Network for Better Object Pose Estimation
Ameni Trabelsi, Mohamed Chaabane, Nathaniel Blanchard +1
In this paper, we present a novel, end-to-end 6D object pose estimation method that operates on RGB inputs. Our approach is composed of 2 main components: the first component class…
Utilizing Network Properties to Detect Erroneous Inputs
Matt Gorbett, Nathaniel Blanchard
Neural networks are vulnerable to a wide range of erroneous inputs such as adversarial, corrupted, out-of-distribution, and misclassified examples. In this work, we train a linear…