High-resolution network with an auxiliary channel for 2D hand pose estimation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16045-x.pdf
Reference31 articles.
1. Cai Y, Ge L, Cai J, Magnenat-Thalmann N, Yuan J (2020) 3D hand pose estimation using synthetic data and weakly labeled RGB images. IEEE Trans Pattern Anal Mach Intell 43:3739–3753
2. Chen L, Lin S, Xie Y, Lin Y, Fan W, Xie X (2020) DGGAN: Depth-image Guided Gen-erative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation. in IEEE Winter Conf. Applications of Computer Vision (WACV), pp 400-408
3. Chen Y, Ma H, Kong D, Yan X, Wu J, Fan W, Xie X (2020) Nonparametric structure regularization machine for 2d hand pose estimation, in IEEE Winter Conf. Appl Comp Vision (WACV):381–390
4. Cong L, Huang C, Zhang C, Li J, Lin B, Yang P (2021) Object Detection and Image Seg-mentation for Autonomous Vehicles, in IEEE International Conference on Information, Communication and Networks (ICICN), pp. 532–537
5. Elboushaki A, Hannane R, Afdel K, Koutti L (2020) Improving articulated hand pose detection for static finger sign recognition in RGB-D images. Multimed Tools Appl 79(39):28925–28969
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