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Joint Image-Visual Grounding of Temporal Memory Networks with Data-Adaptive Layerwise Regularization
Joint Image-Visual Grounding of Temporal Memory Networks with Data-Adaptive Layerwise Regularization – A large number of tasks in robotics, including object pose estimation and tracking, require a human-occluded task. To tackle the challenge of capturing user-reported high-level pose accurately, we propose an end-to-end deep reinforcement learning system that simultaneously learns to recognize user-reported high-level pose […]