most citedTransfer Learning for Aided Target Recognition: Comparing Deep Learning to other Machine Learning Approaches

2 citations · 2 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2021

Domain Adaptation by Topology Regularization

Deborah Weeks, Samuel Rivera

Deep learning has become the leading approach to assisted target recognition. While these methods typically require large amounts of labeled training data, domain adaptation (DA) o…

cs.CV2020

Flexible deep transfer learning by separate feature embeddings and manifold alignment

Samuel Rivera, Joel Klipfel, Deborah Weeks

Object recognition is a key enabler across industry and defense. As technology changes, algorithms must keep pace with new requirements and data. New modalities and higher resoluti…

cs.CV2020★ 2 cited

Transfer Learning for Aided Target Recognition: Comparing Deep Learning to other Machine Learning Approaches

Samuel Rivera, Olga Mendoza-Schrock, Ashley Diehl

Aided target recognition (AiTR), the problem of classifying objects from sensor data, is an important problem with applications across industry and defense. While classification al…