Survey of object pose estimation using deep learning
Survey of object pose estimation using deep learning
Deep Learning-Based Object Pose Estimation: A Comprehensive Survey
arXiv paper abstract https://arxiv.org/abs/2405.07801
arXiv PDF paper https://arxiv.org/pdf/2405.07801
Project page https://github.com/CNJianLiu/Awesome-Object-Pose-Estimation
Object pose estimation is a fundamental computer vision problem … deep learning models, … have … supplanted conventional algorithms reliant on engineered point pair features.
Nevertheless, several challenges … including their dependency on labeled training data, model compactness, robustness … and … generalize to novel unseen objects.
… discuss … advances in deep learning-based object pose estimation, covering all three formulations … instance-level, category-level, and unseen object pose estimation.
… survey also covers multiple input data modalities, degrees-of-freedom of output poses, object properties, and downstream tasks, providing … a holistic understanding of this field.
… discusses training paradigms … inference modes, application areas, evaluation metrics, and benchmark datasets, … performance of current … methods on these benchmarks
… Finally, the survey identifies key challenges, reviews prevailing trends along with their pros and cons, and identifies promising directions for future research.
Stay up to date. Subscribe to my posts https://morrislee1234.wixsite.com/website/contact
Web site with my other posts by category https://morrislee1234.wixsite.com/website
LinkedIn https://www.linkedin.com/in/morris-lee-47877b7b
