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Found 4 papers, 1 papers with code
Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation
Semantic segmentation involves classifying each pixel into one of a pre-defined set of object/stuff classes.
Localize to Binauralize: Audio Spatialization From Visual Sound Source Localization
Through user study, we further validate that our proposed approach generates binaural-quality audio using as little as 10% of explicit binaural supervision data for the SG network.
Super-Resolution of Real-World Faces
They generate synthetically degraded LR images and use them with corresponding real high-resolution(HR) image to train a super-resolution (SR) network using a combination of a pixel-wise loss and an adversarial loss.
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training
While robust control has a long history of development, robust ML is an emerging research area that has already demonstrated its relevance and urgency.
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