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cs.CV2022
Mapping DNN Embedding Manifolds for Network Generalization Prediction
Molly O'Brien, Julia Bukowski, Mathias Unberath +2
Understanding Deep Neural Network (DNN) performance in changing conditions is essential for deploying DNNs in safety critical applications with unconstrained environments, e.g., pe…
cs.CV2021
Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains
Molly O'Brien, Mike Medoff, Julia Bukowski +1
It is well known that Neural Network (network) performance often degrades when a network is used in novel operating domains that differ from its training and testing domains. This…