SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 171–180 of 233 papers

TitleStatusHype
KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation—0
Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions—0
SHREC 2020 track: 6D Object Pose Estimation—0
SilhoNet-Fisheye: Adaptation of A ROI Based Object Pose Estimation Network to Monocular Fisheye Images—0
Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking—0
Single Shot 6D Object Pose Estimation—0
SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation—0
SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation—0
SOCS: Semantically-aware Object Coordinate Space for Category-Level 6D Object Pose Estimation under Large Shape Variations—0
Sparse Color-Code Net: Real-Time RGB-Based 6D Object Pose Estimation on Edge Devices—0
Show:102550
← PrevPage 18 of 24Next →

No leaderboard results yet.