In this paper, we propose a mask-guided multiscale feature aggregation network (MMFANet) for hand gesture recognition. Fig. 1 shows the basic pipeline of the ...
In this paper, we propose an end-to-end multiscale feature learning network for HGR, which consists of a CNN-based backbone network, a feature aggregation ...
Hand Gesture Recognition (HGR) is an efficient method to improve communication between people and robots [3] . HGR is often used in human communication as a ...
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Jan 1, 2024 · Hand gesture recognition from images is a long-standing computer vision task that can be used to build a potential bridge for human-computer ...
Mask-guided multiscale feature aggregation network for hand gesture recognition. H Liang, L Fei, S Zhao, J Wen, S Teng, Y Xu. Pattern Recognition 145, 109901, ...
Aug 12, 2021 · Furthermore, a Multi-scale Cross Feature Aggregation network has been suggested by Bhaumik et al. [26] for precise hand gesture recognition.
This study introduces a new Dynamic Adaptation Convolutional Neural Network (DACNN) that can adjust to different human hand shapes, orientations, and sizes.
Jul 18, 2024 · With the development of cost-effective depth sensors, skeleton-based dynamic hand gesture recognition has made significant progress.
In this paper, we propose an attention-guided multilayer feature aggregation network (AGMFA-Net) that attempts to improve the scene classification performance.
Missing: gesture | Show results with:gesture
• HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton. [PDF] [Code]. Wencan Cheng, Jae Hyun Park ...