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Found 4 papers, 1 papers with code
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation
In specific, we achieve domain mixup in two-step: cut and paste.
Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations
We utilize this vector representation to understand adversarial examples by disentangling the clean images and adversarial perturbations, and analyze their influence on each other.
Data from Model: Extracting Data from Non-robust and Robust Models
We repeat the process of Data to Model (DtM) and Data from Model (DfM) in sequence and explore the loss of feature mapping information by measuring the accuracy drop on the original validation dataset.
Specular Reflection Separation Using Dark Channel Prior
Our method is based on a novel observation that for most natural images the dark channel can provide an approximate specular-free image.
