HyperAIHyperAI
HomeConsoleDocsNewsPapersTutorialsDatasetsWikiSOTALLM ModelsGPU LeaderboardEvents
Search
About
HyperAIHyperAI

Command Palette

Search for a command to run...

6D Pose Estimation On Linemod

Metrics

Accuracy
Mean ADD
Mean IoU

Results

Performance results of various models on this benchmark

Paper TitleRepository
RNNPose-97.37-RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization
EfficientPose-97.35-EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approach
YOLOv5-6D-96.84-YOLOv5-6D: Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries-
EPro-PnP-6DoF v2-96.36-EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
RePOSE-96.1-RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering
EPro-PnP-6DoF v1-95.8-EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
ROPE-95.61-Occlusion-Robust Object Pose Estimation with Holistic Representation
DPOD-95.2-DPOD: 6D Pose Object Detector and Refiner
HRNet (DSNT + BPnP)-93.3-End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization
HybridPose-91.3-HybridPose: 6D Object Pose Estimation under Hybrid Representations
CDPN98.1%89.86-CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation-
PoseCNN + DeepIM97.588.6-DeepIM: Deep Iterative Matching for 6D Pose Estimation
E2E6DoF-86.8-End-to-End Differentiable 6DoF Object Pose Estimation with Local and Global Constraints-
PVNet99%86.27-PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation
CullNet97.7%78.3-CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation
SSD-6D-76.399.4SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again
Keypoint Detector Localization94.5%72.6-Estimating 6D Pose From Localizing Designated Surface Keypoints
Single-shot Deep CNN90.37%55.9599.92Real-Time Seamless Single Shot 6D Object Pose Prediction
BB883.9%43.6-BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth
Pix2Pose-32-Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation
0 of 22 row(s) selected.
6D Pose Estimation On Linemod | SOTA | HyperAI