AG-Pose
Category‑level 6D object pose estimation.
AG‑Pose is a category‑level 6D object pose estimation model that predicts rotation, translation, and size of objects from RGB‑D input. It uses DINOv2‑S (ViT‑S/14) as the RGB backbone and PointNet++ for 3D point cloud processing, with an Instance‑Adaptive Keypoint Detector (IAKD) and Geometric‑Aware Feature Aggregator (GAFA) for robust pose estimation across 6 object categories.
Not supported
This model is currently not supported on any IoT chipset.
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View for other chipsetsTechnical Details
Input resolution:1 x 3 x 224 x 224
Model checkpoint:epoch_30.pt
Model size (float):~116 MB
Number of parameters:30.4M
Supported categories:bottle, bowl, camera, can, laptop, mug
Applicable Scenarios
- Robotic manipulation
- Augmented reality
- Scene understanding
License
Model:MIT
Supported IoT Devices
- Dragonwing Q-8750
Supported IoT Chipsets
- Qualcomm® Dragonwing™ Q-8750
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