GitHub

test_op_nn_convolution.py

# with the License. You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 x = relax.Var("x", R.Tensor((2, 3, 28), "float32")) w = relax ...
IEEE

SelfGCN: Graph Convolution Network With Self-Attention for Skeleton-Based Action Recognition

Abstract: Graph Convolutional Networks (GCNs) are widely used for skeleton-based action recognition and achieved remarkable performance. Due to the locality of graph convolution, GCNs can only utilize ...
IEEE

Graph Multi-Convolution and Attention Pooling for Graph Classification

Abstract: Many studies have achieved excellent performance in analyzing graph-structured data. However, learning graph-level representations for graph classification is still a challenging task.
GitHub

CTRL-F: Pairing Convolution with Transformer for Image Classification via Multi-Level Feature Cross-Attention and Representation Learning Fusion

This is the official pytorch implementation of the CTRL-F paper. Abstract: Transformers have captured growing attention in computer vision, thanks to its large capacity and global processing ...