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6D Pose Estimation using RGB

6D Pose Estimation using RGB refers to the task of determining the six degree-of-freedom (6D) pose of an object in 3D space based on RGB images. This involves estimating the position and orientation of an object in a scene, and is a fundamental problem in computer vision and robotics. In this task, the goal is to estimate the 6D pose of an object given an RGB image of the object and the scene, which can be used for tasks such as robotic manipulation, augmented reality, and scene reconstruction.

( Image credit: Segmentation-driven 6D Object Pose Estimation )

Papers

Showing 141150 of 233 papers

TitleStatusHype
6D Object Pose Estimation using Keypoints and Part Affinity Fields0
Multistream ValidNet: Improving 6D Object Pose Estimation by Automatic Multistream Validation0
Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation0
DexYCB: A Benchmark for Capturing Hand Grasping of ObjectsCode1
Wide-Depth-Range 6D Object Pose Estimation in SpaceCode1
RePOSE: Fast 6D Object Pose Refinement via Deep Texture RenderingCode1
Generating Annotated Training Data for 6D Object Pose Estimation in Operational Environments with Minimal User InteractionCode1
MBAPose: Mask and Bounding-Box Aware Pose Estimation of Surgical Instruments with Photorealistic Domain Randomization0
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation MechanismCode1
GDRNPP: A Geometry-guided and Fully Learning-based Object Pose EstimatorCode1
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