most citedImpact of architecture on robustness and interpretability of multispectral deep neural networks

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cs.CV2023★ 1 cited

Impact of architecture on robustness and interpretability of multispectral deep neural networks

Charles Godfrey, Elise Bishoff, Myles McKay +1

Including information from additional spectral bands (e.g., near-infrared) can improve deep learning model performance for many vision-oriented tasks. There are many possible ways…

cs.CV2023

Quantifying the robustness of deep multispectral segmentation models against natural perturbations and data poisoning

Elise Bishoff, Charles Godfrey, Myles McKay +1

In overhead image segmentation tasks, including additional spectral bands beyond the traditional RGB channels can improve model performance. However, it is still unclear how incorp…