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
CVAM-Pose: Conditional Variational Autoencoder for Multi-Object Monocular Pose EstimationCode0
BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using DepthCode0
[Re] On end-to-end 6DoF object pose estimation and robustness to object scaleCode0
Real-Time Seamless Single Shot 6D Object Pose PredictionCode0
Segmentation-driven 6D Object Pose EstimationCode0
Collision-aware In-hand 6D Object Pose Estimation using Multiple Vision-based Tactile SensorsCode0
PointFusion: Deep Sensor Fusion for 3D Bounding Box EstimationCode0
Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose EstimationCode0
Modular Quantization-Aware Training for 6D Object Pose EstimationCode0
PoseMatcher: One-shot 6D Object Pose Estimation by Deep Feature MatchingCode0
Show:102550
← PrevPage 8 of 24Next →

No leaderboard results yet.