3 papers
cs.CV2024
Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task
Rebecca S. Stone, Pedro E. Chavarrias-Solano, Andrew J. Bulpitt +2
While several previous studies have devised methods for segmentation of polyps, most of these methods are not rigorously assessed on multi-center datasets. Variability due to appea…
cs.CV2024
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation
Rebecca S Stone, Nishant Ravikumar, Andrew J Bulpitt +1
Deep neural networks are highly susceptible to learning biases in visual data. While various methods have been proposed to mitigate such bias, the majority require explicit knowled…
cs.CV2024
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack
Yunfeng Diao, He Wang, Tianjia Shao +4
Human Activity Recognition (HAR) has been employed in a wide range of applications, e.g. self-driving cars, where safety and lives are at stake. Recently, the robustness of skeleto…