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 71–80 of 233 papers

TitleStatusHype
Multi-View Keypoints for Reliable 6D Object Pose Estimation—0
6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics—0
EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationCode3
Rigidity-Aware Detection for 6D Object Pose EstimationCode1
Linear-Covariance Loss for End-to-End Learning of 6D Pose EstimationCode1
SOCS: Semantically-aware Object Coordinate Space for Category-Level 6D Object Pose Estimation under Large Shape Variations—0
Modular Quantization-Aware Training for 6D Object Pose EstimationCode0
Depth-based 6DoF Object Pose Estimation using Swin TransformerCode1
BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects—0
Open Challenges for Monocular Single-shot 6D Object Pose Estimation—0
Show:102550
← PrevPage 8 of 24Next →

No leaderboard results yet.