Category-Level Object Pose Estimation in Heavily Cluttered Scenes by Generalized Two-Stage Shape Reconstructor
Author:
Affiliation:
1. Graduate School of Informatics, Nagoya University, Nagoya, Aichi, Japan
2. Guardian Robot Project, RIKEN, Souraku, Kyoto, Japan
Funder
Japan Society for the Promotion of Science (JSPS) Grant-in-Aid for Scientific Research
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10458144.pdf?arnumber=10458144
Reference25 articles.
1. Deformable DETR: Deformable transformers for end-to-end object detection;Zhu
2. YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors
3. Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
4. Median-Shape Representation Learning for Category-Level Object Pose Estimation in Cluttered Environments
5. Deep Manifold Embedding for 3D Object Pose Estimation
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1. Category Level Object Pose Estimation via Global High-Order Pooling;Electronics;2024-04-29
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