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Found 4 papers, 2 papers with code
Hierarchical Point Cloud Encoding and Decoding with Lightweight Self-Attention based Model
In this paper we present SA-CNN, a hierarchical and lightweight self-attention based encoding and decoding architecture for representation learning of point cloud data.
End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation
The proposed method learns keypoints from camera images as the state representation, through a self-supervised autoencoder architecture.
KOVIS: Keypoint-based Visual Servoing with Zero-Shot Sim-to-Real Transfer for Robotics Manipulation
We train the deep neural network only in the simulated environment; and the trained model could be directly used for real-world visual servoing tasks.
Multi-path Learning for Object Pose Estimation Across Domains
We introduce a scalable approach for object pose estimation trained on simulated RGB views of multiple 3D models together.
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