Abstract: Graph convolutional network (GCN) as a combination of deep learning (DL) and graph learning has gained increasing attention in hyperspectral image (HSI) classification. However, most GCN ...
This repository contains the implementation of AdaptConv for point cloud analysis. Adaptive Graph Convolution (AdaptConv) is a point cloud convolution operator presented in our ICCV2021 paper. If you ...
Abstract: In skeleton-based action recognition, it has been a dominant paradigm to extract motion features with temporal convolution and model spatial correlations with graph convolution. However, ...
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