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Found 2 papers, 2 papers with code
Self-Supervised Pretraining for 2D Medical Image Segmentation
In this paper, we elaborate and analyse the effectiveness of supervised and self-supervised pretraining approaches on downstream medical image segmentation, focusing on convergence and data efficiency.
Sim-to-real reinforcement learning applied to end-to-end vehicle control
Our controller policy is able to control a small-scale robot to follow the right-hand lane of a real two-lane road, while its training was solely carried out in a simulation.
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