Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation

Author:

Lin Yunzhi1,Tremblay Jonathan2,Tyree Stephen2,Vela Patricio A.1,Birchfield Stan2

Affiliation:

1. Georgia Institute of Technology

2. NVIDIA:

Funder

NSF

Publisher

IEEE

Reference40 articles.

1. A generalized approach for inconsistency detection in data fusion from multiple sensors

2. Uncertainty Estimation in One-Stage Object Detection

3. BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors

4. Deep Mixture Density Network for Probabilistic Object Detection

5. Towards better per-formance and more explainable uncertainty for 3D object detection of autonomous vehicles;pan;IEEE International Conference on Intelligent Transportation Systems (ITSC),0

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2. Corr-Track: Category-Level 6D Pose Tracking with Soft-Correspondence Matrix Estimation;IEEE Transactions on Visualization and Computer Graphics;2024-05

3. RGB-D Videos Human Action Recognition: A Taxonomy-Based Survey to Learn the Discriminative Features;2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU);2024-03-01

4. Enhancing Generalizable 6D Pose Tracking of an In-Hand Object With Tactile Sensing;IEEE Robotics and Automation Letters;2024-02

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