SOTAVerified

6D Pose Estimation

Image: Zeng et al

Papers

Showing 5175 of 255 papers

TitleStatusHype
Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive HandsCode1
Linear-Covariance Loss for End-to-End Learning of 6D Pose EstimationCode1
MarkerPose: Robust Real-time Planar Target Tracking for Accurate Stereo Pose EstimationCode1
EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approachCode1
CosyPose: Consistent multi-view multi-object 6D pose estimationCode1
Neural Object Learning for 6D Pose Estimation Using a Few Cluttered ImagesCode1
DProST: Dynamic Projective Spatial Transformer Network for 6D Pose EstimationCode1
Novel Object 6D Pose Estimation with a Single Reference ViewCode1
DCL-Net: Deep Correspondence Learning Network for 6D Pose EstimationCode1
DeepIM: Deep Iterative Matching for 6D Pose EstimationCode1
On Object Symmetries and 6D Pose Estimation from ImagesCode1
Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose EstimationCode1
Enhancing 6-DoF Object Pose Estimation through Multiple Modality Fusion: A Hybrid CNN Architecture with Cross-Layer and Cross-Modal IntegrationCode1
FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose EstimationCode1
Depth-based 6DoF Object Pose Estimation using Swin TransformerCode1
BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose EstimationCode1
BOP: Benchmark for 6D Object Pose EstimationCode1
EPOS: Estimating 6D Pose of Objects with SymmetriesCode1
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered ScenesCode1
DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose EstimationCode1
FS6D: Few-Shot 6D Pose Estimation of Novel ObjectsCode1
RDPN6D: Residual-based Dense Point-wise Network for 6Dof Object Pose Estimation Based on RGB-D ImagesCode1
FSD: Fast Self-Supervised Single RGB-D to Categorical 3D ObjectsCode1
G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector FeaturesCode1
Rigidity-Aware Detection for 6D Object Pose EstimationCode1
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ICG+ADDS AUC97.9Unverified
2FFB6DADDS AUC96.6Unverified
3ICGADDS AUC96.5Unverified
4PVN3DADDS AUC96.1Unverified
5se3-TrackNetADDS AUC95.71Unverified
6CMCL6DADDS AUC95.43Unverified
7DTTD-Net w/o refinerADDS AUC94.19Unverified
8MaskedFusionADDS AUC93.3Unverified
9DenseFusionADDS AUC93.1Unverified
10PoseCNN+ICPADDS AUC93Unverified
#ModelMetricClaimedVerifiedStatus
16D OBJECT POSE TRACKING IN INTERNET VIDEOS FOR ROBOTIC MANIPULATIONAR CoU52.1Unverified
2MegaPose-RGBD (refined)ADD AUC49.02Unverified
3GigaPoseAR CoU39.32Unverified
4FoundPoseAR CoU31.32Unverified
5MegaPose-RGBD (Coarse)AR CoU13.72Unverified
#ModelMetricClaimedVerifiedStatus
1FFB6DAccuracy (ADD)99.7Unverified
2PVN3DAccuracy (ADD)99.4Unverified
3GPV-PoseMean ADD-S98.2Unverified
4MaskedFusionAccuracy (ADD)97.8Unverified
5DenseFusionAccuracy (ADD)94.3Unverified
#ModelMetricClaimedVerifiedStatus
1ICG+AUC17.57Unverified
2ICGAUC16.54Unverified
#ModelMetricClaimedVerifiedStatus
1VISAPP BaselineeRE0.2Unverified