- A Two|Stream Graph Convolutional Network Based on Brain ...🔍
- A Two|stream Graph Convolutional Network based on Brain ...🔍
- Two|Stream Adaptive Graph Convolutional Networks for Skeleton ...🔍
- A Two|Stream Graph Convolutional Neural Network for Dynamic ...🔍
- A Two Stream Graph Convolutional Network Based on ...🔍
- Two|person Graph Convolutional Network for Skeleton|based ...🔍
- Zero|Shot Action Recognition via Two|Stream Graph Convolutional ...🔍
- Two|Steam Fully Connected Graph Convolutional Network for ...🔍
A Two Stream Graph Convolutional Network Based on ...
A Two-Stream Graph Convolutional Network Based on Brain ...
This method learns features of both topological structure and nodes of the graph, and uses a dual-graph approach to enhance the focus on topological structure ...
A Two-stream Graph Convolutional Network based on Brain ...
The two- stream graph convolutional network includes GCN Model 1 and. GCN Model 2. For GCN Model 1, brain connectivity networks were constructed by using phase ...
(PDF) A Two-Stream Graph Convolutional Network Based on Brain ...
To fill this gap, a framework based on the two-stream graph convolutional network (GCN) was proposed, i.e., one stream for extracting ...
STA-GCN: Two-Stream Graph Convolutional Network with Spatial ...
Abstract Skeleton-based hand gesture recognition is an active research topic in computer graphics and com- puter vision, and has a wide range of ...
Two-Stream Adaptive Graph Convolutional Networks for Skeleton ...
In skeleton-based action recognition, graph convolu- tional networks (GCNs), which model the human body skeletons as spatiotemporal graphs, have achieved ...
A Two-Stream Graph Convolutional Neural Network for Dynamic ...
Using the graph convolutional network (GCN) is widespread in traffic flow forecasting. Existing GCN-based methods mostly rely on undirected spatial correlations ...
A Two Stream Graph Convolutional Network Based on ... - YouTube
A Two Stream Graph Convolutional Network Based on Brain Connectivity for Anesthetized States · Comments.
Two-person Graph Convolutional Network for Skeleton-based ...
Abstract—Graph convolutional networks (GCNs) have been the predominant methods in skeleton-based human action recog-.
Zero-Shot Action Recognition via Two-Stream Graph Convolutional ...
To effectively leverage the knowledge graph, we design a novel Two-Stream Graph Convolutional Network (TS-GCN) consisting of a classifier branch and an instance ...
Two-Steam Fully Connected Graph Convolutional Network for ...
A two-steam fully connected graph convolutional network (2s-FGCN) is proposed, which covers the local physical connections and the global potential ...
Two-Stream Adaptive Graph Convolutional Networks for Skeleton ...
In this work, we propose a novel two-stream adaptive graph convolutional network (2s-AGCN) for skeleton-based action recognition. The topology of the graph in ...
Two-stream signed directed graph convolutional network for link ...
In order to obtain a richer node representation, we propose a Two-Stream Signed Directed Graph Convolution Network(2S-SDGCN). We consider both the sign and ...
Two-Stream Graph Convolutional Network for Intra-oral Scanner ...
To address this issue, we design a two-stream graph convolutional network (i.e., TSGCN), which can effectively handle inter-view confusion ...
Papers with Code - GCN Explained
A Graph Convolutional Network, or GCN, is an approach for semi-supervised learning on graph-structured data. It is based on an efficient variant of ...
Two-Stream Adaptive Graph Convolutional Networks for Skeleton ...
A novel two-stream adaptive graph convolutional network (2s-AGCN) for skeleton-based action recognition that increases the flexibility of the model for ...
2s-GATCN: Two-Stream Graph Attentional Convolutional Networks ...
In recent years, GCN-based methods have been introduced to skeleton-based action recognition tasks by extending the convolutional operation from images to ...
STA-GCN: two-stream graph convolutional network with spatial ...
In this paper, we propose a two-stream graph attention convolutional network with spatial–temporal attention for hand gesture recognition. We adopt pose stream ...
Adaptive spatiotemporal graph convolutional network with ...
In a later study, Shi et al. [21] proposed a two-stream adaptive graph convolutional network (2s-AGCN) with a data-dependent skeleton graph and ...
Two-Stream Graph Convolutional Network for Intra-Oral Scanner ...
Furthermore, Zhao et al. [8] presented TSGCNet, a method that also directly accepts face vertices and normals as input. This approach is based ...
MULTI-Stream Graph Convolutional Networks with Efficient spatial ...
ST-GCN [19] proposed by Yan et al is regarded as a heuristic method, which firstly introduced GCN to skeleton-based action recognition. However, it applied ...