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
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.
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