4 citations · 4 across the 2 of their papers we have counts for
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cs.CV2022★ 4 cited
Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration
Ryan Soklaski, Michael Yee, Theodoros Tsiligkaridis
Diverse data augmentation strategies are a natural approach to improving robustness in computer vision models against unforeseen shifts in data distribution. However, the ability t…
cs.CV2018
Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning
David Mascharka, Philip Tran, Ryan Soklaski +1
Visual question answering requires high-order reasoning about an image, which is a fundamental capability needed by machine systems to follow complex directives. Recently, modular…