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Found 3 papers, 1 papers with code
Rethinking Low-level Features for Interest Point Detection and Description
Although great efforts have been made for interest point detection and description, the current learning-based methods that use high-level features from the higher layers of Convolutional Neural Networks (CNN) do not completely outperform the conventional methods.
Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning
Experimental results demonstrate that our proposed method achieves policy generalization to unseen compositional tasks in a zero-shot manner.
Contact Pose Identification for Peg-in-Hole Assembly under Uncertainties
Peg-in-hole assembly is a challenging contact-rich manipulation task.
Robotics
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