TSPconv-Net: Transformer and Sparse Convolution for 3D Instance Segmentation in Point Clouds
Sign Up to like & getrecommendations! Published in 2024 at "Mathematics"
DOI: 10.3390/math12182926
Abstract: Current deep learning approaches for indoor 3D instance segmentation often rely on multilayer perceptrons (MLPs) for feature extraction. However, MLPs struggle to effectively capture the complex spatial relationships inherent in 3D scene data. To address… read more here.
Keywords: instance segmentation; sparse convolution; tspconv net; feature extraction ... See more keywords