WebApr 11, 2024 · 1.Introduction. In recent years, with the application of deep learning, the performance of 2D human pose estimation has been widely developed. Related works [1] denote that 2D joint information is helpful to efficiently and accurately estimate 3D hand poses.Because the hand skeleton can be treated as a graph, some studies [2, 3] used … Webfuture poses, respectively. Anomaly score is determined by the reconstruction and prediction errors of the model. 2.2. Graph Convolutional Networks To represent human poses as graphs, the inner-graph re-lations are described using weighted adjacency matrices. Each matrix could be static or learnable and represent any kind of relation.
Structure-aware Human Pose Estimation with Graph
WebMany existing approaches to human pose estimation from a still image are based on a pictorial structure model. The focus of current research has been in 1) extending the models to a non-tree structures with efficient inference pro- … WebNov 24, 2024 · In order to effectively model multi-hypothesis dependencies and build strong relationships across hypothesis features, the task is decomposed into three stages: (i) Generate multiple initial hypothesis representations; (ii) Model self-hypothesis communication, merge multiple hypotheses into a single converged representation and … howard building corporation linkedin
Stacked graph bone region U-net with bone representation for hand pose ...
WebJul 1, 2024 · Graph structure network. Generative adversarial network. 1. Introduction. Human pose estimation refers to predict the specific location of human keypoints from an image. It is a fundamental yet challenging task for many computer vision applications like intelligent video surveillance and human-computer interaction. WebApr 14, 2024 · Abstract. Implementing the transformer for global fusion is a novel and efficient method for pose estimation. Although the computational complexity of modeling dense attention can be significantly reduced by pruning possible human tokens, the accuracy of pose estimation still suffers from the problem of high overlap of candidate … WebGraph convolutional networks have significantly improved 3D human pose estimation by representing the human skeleton as an undirected graph. However, this representation … howard building corporation costa mesa ca