Mar 17, 2020 · This is the first work that introduces the feedback mechanism into GCNs and action recognition. Compared with conventional GCNs, FGCN has the ...
Nov 24, 2021 · In this paper, we propose a novel network, named Feedback Graph Convolutional Network (FGCN). This is the first work that introduces a feedback ...
Dec 3, 2021 · This is the first work that introduces a feedback mechanism into GCNs for action recognition. Compared with conventional GCNs, FGCN has the ...
Extensive experiments on three datasets, NTU-RGB+D, NTU-RGB+D120 and Northwestern-UCLA, demonstrate that the proposed FGCN is effective for action recognition.
Oct 14, 2020 · Abstract:With the advances in capturing 2D or 3D skeleton data, skeleton-based action recognition has received an increasing interest over ...
Missing: Feedback | Show results with:Feedback
In this paper, we propose a novel network, named Feedback Graph Convolutional Network (FGCN). This is the first work that introduces the feedback mechanism into ...
Apr 22, 2021 · Graph convolutional networks for skeleton-based action recognition with LSTM using tool-information.
Abstract. Graph convolutional networks (GCNs) have brought considerable improvement to the skeleton-based action recognition task. Existing GCN-based methods ...
Nov 17, 2023 · Skeleton-based action recognition methods commonly employ graph neural networks to learn different aspects of skeleton topology information ...
The first attempt to enhance skeleton topologies by graph decomposition. •. The proposed model efficiently refactors out the strong spatiotemporal features.