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Found 4 papers, 0 papers with code
Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing
The proposed Dual Randomized Smoothing (DRS) down-samples the input image into two sub-images and smooths the two sub-images in lower dimensions.
MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection
Moreover, MoE-FFD leverages the expressivity of transformers and local priors of CNNs to simultaneously extract global and local forgery clues.
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations
This is particularly true for medical image segmentation (MIS) datasets, where the processes of collection and fine-grained annotation are time-intensive and laborious.
Neural Ranking Models with Multiple Document Fields
However, such models have often been based on one field of the document, for example considering document title only or document body only.
