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Found 6 papers, 4 papers with code
Video-based assessment of intraoperative surgical skill
The neural network approach using attention mechanisms also showed high sensitivity and specificity.
Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions
Our model completes block manipulation tasks with synthetic commands 530 more often than a UNet-based baseline, and learns to localize actions correctly while creating a mapping of symbols to perceptual input that supports compositional reasoning.
Cumulative Assessment for Urban 3D Modeling
Urban 3D modeling from satellite images requires accurate semantic segmentation to delineate urban features, multiple view stereo for 3D reconstruction of surface heights, and 3D model fitting to produce compact models with accurate surface slopes.
Robotic Surgery With Lean Reinforcement Learning
As far as we know, this is the first time an RL-based agent is taught from visual data in a surgical robotics environment.
Learning from Synthetic Animals
Despite great success in human parsing, progress for parsing other deformable articulated objects, like animals, is still limited by the lack of labeled data.
Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy
We present a self-supervised approach to training convolutional neural networks for dense depth estimation from monocular endoscopy data without a priori modeling of anatomy or shading.
