SOTAVerified

6D Pose Estimation

Image: Zeng et al

Papers

Showing 151–175 of 255 papers

TitleStatusHype
Hierarchical Graph Neural Networks for Proprioceptive 6D Pose Estimation of In-hand Objects—0
GenPose: Generative Category-level Object Pose Estimation via Diffusion Models—0
ZeroPose: CAD-Prompted Zero-shot Object 6D Pose Estimation in Cluttered Scenes—0
Counter-Hypothetical Particle Filters for Single Object Pose Tracking—0
You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example—0
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object PoseCode0
Uncovering the Background-Induced bias in RGB based 6-DoF Object Pose EstimationCode0
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
Model-Based Underwater 6D Pose Estimation from RGB—0
A Projective Geometric View for 6D Pose Estimation in mmWave MIMO Systems—0
Context-aware 6D Pose Estimation of Known Objects using RGB-D data—0
LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation—0
Physics-Based Object 6D-Pose Estimation during Non-Prehensile Manipulation—0
Grasping the Inconspicuous—0
Towards real-time 6D pose estimation of objects in single-view cone-beam X-ray—0
Geo6D: Geometric Constraints Learning for 6D Pose Estimation—0
Estimating the Pose of a Euro Pallet with an RGB Camera based on Synthetic Training Data—0
6DOF Pose Estimation of a 3D Rigid Object based on Edge-enhanced Point Pair Features—0
Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose EstimatorsCode0
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural FeaturesCode0
6D Robotic Assembly Based on RGB-only Object Pose Estimation—0
CenDerNet: Center and Curvature Representations for Render-and-Compare 6D Pose Estimation—0
SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation—0
Uni6Dv2: Noise Elimination for 6D Pose Estimation—0
Show:102550
← PrevPage 7 of 11Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ICG+ADDS AUC97.9—Unverified
2FFB6DADDS AUC96.6—Unverified
3ICGADDS AUC96.5—Unverified
4PVN3DADDS AUC96.1—Unverified
5se3-TrackNetADDS AUC95.71—Unverified
6CMCL6DADDS AUC95.43—Unverified
7DTTD-Net w/o refinerADDS AUC94.19—Unverified
8MaskedFusionADDS AUC93.3—Unverified
9DenseFusionADDS AUC93.1—Unverified
10PoseCNN+ICPADDS AUC93—Unverified
#ModelMetricClaimedVerifiedStatus
16D OBJECT POSE TRACKING IN INTERNET VIDEOS FOR ROBOTIC MANIPULATIONAR CoU52.1—Unverified
2MegaPose-RGBD (refined)ADD AUC49.02—Unverified
3GigaPoseAR CoU39.32—Unverified
4FoundPoseAR CoU31.32—Unverified
5MegaPose-RGBD (Coarse)AR CoU13.72—Unverified
#ModelMetricClaimedVerifiedStatus
1FFB6DAccuracy (ADD)99.7—Unverified
2PVN3DAccuracy (ADD)99.4—Unverified
3GPV-PoseMean ADD-S98.2—Unverified
4MaskedFusionAccuracy (ADD)97.8—Unverified
5DenseFusionAccuracy (ADD)94.3—Unverified
#ModelMetricClaimedVerifiedStatus
1ICG+AUC17.57—Unverified
2ICGAUC16.54—Unverified
#ModelMetricClaimedVerifiedStatus
1VISAPP BaselineeRE0.2—Unverified