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Found 7 papers, 5 papers with code
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis
The OOD score is then determined by combining the deviation from the input data to the ID pattern in both subspaces.
KGNv2: Separating Scale and Pose Prediction for Keypoint-based 6-DoF Grasp Synthesis on RGB-D input
We propose a new 6-DoF grasp pose synthesis approach from 2D/2. 5D input based on keypoints.
Keypoint-GraspNet: Keypoint-based 6-DoF Grasp Generation from the Monocular RGB-D input
Great success has been achieved in the 6-DoF grasp learning from the point cloud input, yet the computational cost due to the point set orderlessness remains a concern.
GKNet: grasp keypoint network for grasp candidates detection
Decreasing the detection difficulty by grouping keypoints into pairs boosts performance.
A Joint Network for Grasp Detection Conditioned on Natural Language Commands
We consider the task of grasping a target object based on a natural language command query.
Recognizing Object Affordances to Support Scene Reasoning for Manipulation Tasks
Unfortunately, the top performing affordance recognition methods use object category priors to boost the accuracy of affordance detection and segmentation.
Deep Grasp: Detection and Localization of Grasps with Deep Neural Networks
By defining the learning problem to be classification with null hypothesis competition instead of regression, the deep neural network with RGB-D image input predicts multiple grasp candidates for a single object or multiple objects, in a single shot.
Robotics
