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A Holistic Power Optimization Approach for Microgrid Control Based on Deep Reinforcement Learning
The global energy landscape is undergoing a transformation towards decarbonization, sustainability, and cost-efficiency.
Keypoint-Graph-Driven Learning Framework for Object Pose Estimation
Hence, we propose to use the domain-invariant geometry structure among keypoints as a "bridge" constraint to optimize DAKDN for 6D pose estimation across domains.
Learning Deep Network for Detecting 3D Object Keypoints and 6D Poses
These results show that our method can be used as a suitable alternative when there are no 3D CAD models or a large number of 3D annotations.
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