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Found 4 papers, 2 papers with code
Fingerspelling PoseNet: Enhancing Fingerspelling Translation with Pose-Based Transformer Models
We also propose a novel two-stage inference approach that re-ranks the hypotheses using the language model capabilities of the decoder.
Graph-CoVis: GNN-based Multi-view Panorama Global Pose Estimation
In this paper, we address the problem of wide-baseline camera pose estimation from a group of 360$^\circ$ panoramas under upright-camera assumption.
Review on 6D Object Pose Estimation with the focus on Indoor Scene Understanding
6D object pose estimation problem has been extensively studied in the field of Computer Vision and Robotics.
Object Pose Estimation using Mid-level Visual Representations
The deep convolutional network models (CNN) for pose estimation are typically trained and evaluated on datasets specifically curated for object detection, pose estimation, or 3D reconstruction, which requires large amounts of training data.
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