Attack visualization for GR-ConvNet-RGB-D on OCID grasp dataset. The
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Attack visualization for GR-ConvNet-RGB-D on OCID grasp dataset. The
UESTC RGB-D Dataset
RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos
PDF) Shortcut-enhanced Multimodal Backdoor Attack in Vision-guided Robot Grasping
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GitHub - stefan-ainetter/grasp_det_seg_cnn: Code for ICRA21 paper End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGB.
ERCIM News 114 - Human Robot Interaction by Peter Kunz - Issuu
Attack visualization for GR-ConvNet-RGB-D on OCID grasp dataset. The
Autonomous Vehicles Enabled by the Integration of IoT, Edge Intelligence, 5G, and Blockchain. - Abstract - Europe PMC
Ziyan Gao's research works Japan Advanced Institute of Science and Technology, Komatsu and other places
Concepts and Techniques of Graph Neural Networks 9781668469033, 9781668469040, 9781668469057, 9781668477564, 9781668466872, 9781668471005, 9781668477663, 9781668475249, 9781668466971, 9781799870821
Convolutional multi-grasp detection using grasp path for RGBD images - ScienceDirect