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Found 4 papers, 2 papers with code
Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation
While recent advances in deep learning have improved the performance of volumetric medical image segmentation models, these models cannot be deployed for real-world applications immediately due to their vulnerability to adversarial attacks.
Detecting Propaganda Techniques in Code-Switched Social Media Text
Yet, it is common to find a mix of multiple languages in social media communication, a phenomenon known as code-switching.
Subsampled Fourier Ptychography using Pretrained Invertible and Untrained Network Priors
Recently pretrained generative models have shown promising results for subsampled Fourier Ptychography (FP) in terms of quality of reconstruction for extremely low sampling rate and high noise.
Subsampled Fourier Ptychography via Pretrained Invertible and Untrained Network Priors
Recently pretrained generative models have shown promising results for subsampled Fourier Ptychography (FP) in terms of quality of reconstruction for extremely low sampling rate and high noise.
