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Found 3 papers, 1 papers with code
Scaling Vision-and-Language Navigation With Offline RL
The study of vision-and-language navigation (VLN) has typically relied on expert trajectories, which may not always be available in real-world situations due to the significant effort required to collect them.
Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization
Single-source open-domain generalization (SS-ODG) addresses the challenge of labeled source domains with supervision during training and unlabeled novel target domains during testing.
Perceptual cGAN for MRI Super-resolution
Capturing high-resolution magnetic resonance (MR) images is a time consuming process, which makes it unsuitable for medical emergencies and pediatric patients.
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