Simple and lightweight human pose
Webb11 apr. 2024 · A bearing is a key component in rotating machinery. The prompt monitoring of a bearings’ condition is critical for the reduction of mechanical accidents. With the rapid development of artificial intelligence technology in recent years, machine learning-based intelligent fault diagnosis (IFD) methods have achieved remarkable success in the … Webb23 nov. 2024 · Simple and Lightweight Human Pose Estimation. Recent research on human pose estimation has achieved significant improvement. However, most existing …
Simple and lightweight human pose
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Webb6 juni 2024 · The success of the lightweight pose network (LPN) [13] has brought new perspectives on how to construct a simple and lightweight human pose estimation models. Inspired by LPN, in this paper,... Webb1 nov. 2024 · Human pose estimation (HPE) is an important research issue in the field of human-robot interaction, which can better understand human behavior and recognize …
WebbSpecifically, ViTPose employs plain and non-hierarchical vision transformers as backbones to extract features for a given person instance and a lightweight decoder for pose estimation. It can be scaled up from 100M to 1B parameters by taking the advantages of the scalable model capacity and high parallelism of transformers, setting a new Pareto ... WebbSimple and Lightwight Human Pose Estimation Introduction On COCO keypoints valid dataset, if with_gcb module achieves 66.5 of mAP, else 64.4 of mAp Main Results …
WebbIn this paper, a mutually enhanced modeling method (MEMe) is presented for human pose estimation, which focuses on enhancing lightweight model performance, but with low complexity. To obtain higher accuracy, a traditional model scale is largely expanded with heavy deployment difficulties. However, for a more lightweight model, there is a large … Webb1 juli 2024 · A novel lightweight deep network named PEPoseNet is designed to estimate and analyze a human pose in real time and has competitive performance to the state of the art in pull-ups test under complex scenarios. PDF ACRNet: Attention Cube Regression Network for Multi-view Real-time 3D Human Pose Estimation in Telemedicine
Webb16 juli 2024 · In this paper, we present EfficientHRNet, a family of lightweight 2D human pose estimators that unifies the high-resolution structure of state-of-the-art HigherHRNet with the highly efficient model scaling principles of EfficientNet to create high accuracy models with significantly reduced computation costs compared to other state-of-the-art …
Webb21 maj 2024 · Lightweight Human Pose Estimation Using Heatmap-Weighting Loss 05/21/2024 ∙ by Shiqi Li, et al. ∙ 0 ∙ share Recent research on human pose estimation exploits complex structures to improve performance on benchmark datasets, ignoring the resource overhead and inference speed when the model is actually deployed. hatz servicepartnerWebb7 mars 2024 · Accurately estimating human pose is crucial for providing feedback during exercises or musical performances, but the complex and flexible nature of human joints … booty\u0027s fish house royston gaWebb23 nov. 2024 · In this paper, we investigate the problem of simple and lightweight human pose estimation. We first redesign a lightweight bottleneck block with two non-novel … hatz parts onlineWebb4 nov. 2024 · This paper proposes a lightweight HPE network named efficient high-resolution human pose estimation (EHR-HPE). EHR-HPE network first adopts the high-resolution pattern to acquire accurate heatmaps ... booty\\u0027s fish houseWebb21 juli 2024 · It detects a skeleton (which consists of keypoints and connections between them) to identify human poses for every person inside the image. The pose may contain … booty\u0027s menuWebbinvestigate the problem of simple and lightweight human pose estimation. We first redesign a lightweight bottleneck block with two concepts: depthwise convolution and … hatz planesWebb7 mars 2024 · Human pose estimation (HPE) is a process of identifying and locating human keypoints from given images or videos. In the past decades, how to realize the automatic understanding of human pose has always been a hot research issue in the field of computer vision. booty\\u0027s fish house royston ga