87 citations · 96 across the 8 of their papers we have counts for
Showing 2022 · cs.CVShow all
2 papers · 2 filters
cs.CV2022★ 1 cited
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks
Samuel Hess, Gregory Ditzler
Few-shot learning is a rapidly evolving area of research in machine learning where the goal is to classify unlabeled data with only one or "a few" labeled exemplary samples. Neural…
cs.CV2022
Shadows Aren't So Dangerous After All: A Fast and Robust Defense Against Shadow-Based Adversarial Attacks
Andrew Wang, Wyatt Mayor, Ryan Smith +2
Robust classification is essential in tasks like autonomous vehicle sign recognition, where the downsides of misclassification can be grave. Adversarial attacks threaten the robust…