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This work investigates compositional reuse at two levels: within a subtask, combining familiar entities, action types, and action modifiers; and across subtasks, reusing learned subtasks in unseen long-horizon tasks, which validate the effectiveness of the method for instruction-dependent generalization at both levels.
Stop neglecting your camera data: Fusion4CA shows how a few simple, plug-and-play modules can significantly boost 3D object detection performance by better exploiting RGB information in BEV fusion.
