Abstract: Weakly supervised 3D semantic segmentation has proven effective in alleviating the heavy dependence on dense annotations by generating high-quality pseudo-labels. However, due to the scene ...
Abstract: In this study, a deep learning-based approach is proposed to address electromagnetic (EM) scattering of 3D perfect electric conductor (PEC) targets. Message passing graph neural networks ...
We propose a zero-shot object-goal navigation framework by constructing an online 3D scene graph to prompt LLMs. Our method can be directly applied to different kinds of scenes and categories without ...
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