| RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization | ✓ Link | 97.37 | 97.37% | | | RNNPose | 2022-03-24 |
| EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approach | ✓ Link | 97.35 | 97.35% | | | EfficientPose | 2020-11-09 |
| YOLOv5-6D: Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries | ✓ Link | 96.84 | 96.84% | | | YOLOv5-6D | 2024-03-22 |
| EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation | ✓ Link | 96.36 | | | | EPro-PnP-6DoF v2 | 2023-03-22 |
| RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering | ✓ Link | 96.1 | 96.1% | | | RePOSE | 2021-04-01 |
| EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation | ✓ Link | 95.8 | | | | EPro-PnP-6DoF v1 | 2022-03-24 |
| Occlusion-Robust Object Pose Estimation with Holistic Representation | ✓ Link | 95.61 | 95.61% | | | ROPE | 2021-10-22 |
| DPOD: 6D Pose Object Detector and Refiner | ✓ Link | 95.2 | 95.15% | | | DPOD | 2019-02-28 |
| End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization | ✓ Link | 93.3 | | | | HRNet (DSNT + BPnP) | 2019-09-13 |
| HybridPose: 6D Object Pose Estimation under Hybrid Representations | ✓ Link | 91.3 | 94.5% | | | HybridPose | 2020-01-07 |
| CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation | | 89.86 | 89.86% | 98.1% | | CDPN | 2019-10-01 |
| DeepIM: Deep Iterative Matching for 6D Pose Estimation | ✓ Link | 88.6 | 88.1% | 97.5 | | PoseCNN + DeepIM | 2018-03-31 |
| End-to-End Differentiable 6DoF Object Pose Estimation with Local and Global Constraints | | 86.8 | | | | E2E6DoF | 2020-11-22 |
| PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation | ✓ Link | 86.27 | 86.27% | 99% | | PVNet | 2018-12-31 |
| CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation | ✓ Link | 78.3 | 78.3% | 97.7% | | CullNet | 2019-09-30 |
| SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again | ✓ Link | 76.3 | | | 99.4 | SSD-6D | 2017-11-27 |
| Estimating 6D Pose From Localizing Designated Surface Keypoints | ✓ Link | 72.6 | | 94.5% | | Keypoint Detector Localization | 2018-12-04 |
| Real-Time Seamless Single Shot 6D Object Pose Prediction | ✓ Link | 55.95 | | 90.37% | 99.92 | Single-shot Deep CNN | 2017-11-24 |
| BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth | ✓ Link | 43.6 | 43.6% | 83.9% | | BB8 | 2017-03-31 |
| Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation | ✓ Link | 32 | | | | Pix2Pose | 2019-08-20 |
| Implicit 3D Orientation Learning for 6D Object Detection from RGB Images | ✓ Link | 28.7 | | | | Augmented Autoencoder | 2019-02-04 |
| End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization | ✓ Link | | 93.27% | 99.21% | | HRNet+DSNT+BPnP | 2019-09-13 |