6D位姿估计论⽂及代码汇总，持续更新~~~
6D位姿估计 论⽂及代码汇总，持续更新中~~
⽂章⽬录
综述
1. Deep Learning on Monocular Object Po Detection and Tracking: A Comprehensive Overview —
Arxiv
1. PAM:Point-wi Attention Module for 6D Object Po Estimation —
2. PERCH 2.0 : Fast and Accurate GPU-bad Perception via Search for Object Po Estimation —
3. — —
4. Vote from the Center: 6 DoF Po Estimation in RGB-D Images by Radial Keypoint Voting —
5. Single-stage Keypoint-bad Category-level Object Po Estimation from an RGB Image — —
6. A Dynamic Keypoints Selection Network for 6DoF Po Estimation —
7. T6D-Direct: Transformers for Multi-Object 6D Po Direct Regression
8. ACR-Po: Adversarial Canonical Reprentation Reconstruction Network for Category Level 6D Object Po
Estimation —
9. Introducing Po Consistency and Warp-Alignment for Self-Supervid 6D Object Po Estimation in Color Images —
—
10. PyraPo: Feature Pyramids for Fast and Accurate Object Po Estimation under Domain Shift — —
11. 6D Object Po Estimation using Keypoints and Part Affinity Fields —
12. Dintangled Implicit Shape and Po Learning for Scalable 6D Po Estimation —
13. 6D-ViT: Category-Level 6D Object Po Estimation via Transformer-bad Instance Reprentation Learning —
14. Spatial Attention Improves Iterative 6D Object Po Estimation —
IEEE 2021
1. Occlusion-Aware Self-Supervid Monocular 6D Object Po Estimation
NIPS 2021
1. Leveraging SE(3) Equivariance for Self-supervid Category-Level Object Po Estimation from Point Clouds
2. Spar Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of
Object Pos in 3D Space — —
ICCV 2021
1. StereOBJ-1M: Large-scale Stereo Image Datat for 6D Object Po Estimation —
2. — —
大吃一惊的近义词3. RePOSE: Fast 6D Object Po Refinement via Deep Texture Rendering — —
ICCV 2021 work shop
1. Bridging the Reality Gap for Po Estimation Networks using Sensor-Bad Domain Randomization —
CVPR 2021
1. — —
2. DSC-PoNet: Learning 6DoF Object Po Estimation via Dual-scale Consistency —
3. StablePo: Learning 6D Object Pos from Geometrically Stable Patches —
4. FFB6D: A Full Flow Bidirectional Fusion Network for 6D Po Estimation —
AAAI 2021
生日祝福语孩子
1. SD-Po: Semantic Decomposition for Cross-Domain 6D Object Po Estimation —
WACV 2021
1. —
IROS 2021
1. KDFNet: Learning Keypoint Distance Field for 6D Object Po Estimation —
ACCV 2020
1. A Spar Gaussian Approach to Region-Bad 6DoF Object Tracking — Best Paper —
ECCV 2020
1. CosyPo：Consistent multi-view multi-object 6D po estimation — — —
2. Self6D：Self-Supervid Monocular 6D Object Po Estimation — Oral —
3. NOL：Neural Object Learning for 6D Po Estimation Using a Few Cluttered Images — Spotlight — —
4. — —
5. Shape Prior Deformation：Shape Prior Deformation for Categorical 6D Object Po and Size Estimation — —
6. Few-Shot Viewpoint：Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild — —
7. Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Po Refinement in the Wild —CVPR 2020皮裤英文
1. PVN3D: A Deep Point-wi 3D Keypoints Voting Network for 6DoF Po Estimation — — —
2. Learning Canonical Shape Space for Category-Level 6D Object Po and Size Estimation —
3. Category-Level Articulated Object Po Estimation — Oral —
4. MoreFusion: Multi-object Reasoning for 6D Po Estimation from Volumetric Fusion — —
5. EPOS: Estimating 6D Po of Objects with Symmetries — —
6. G2L-Net: Global to Local Network for Real-time 6D Po Estimation with Embedding Vector Features — —
7. — —
8. Multi-Path：Multi-path Learning for Object Po Estimation Across Domains — —拼音练习
9. — — —
10. Single-Stage 6D Object Po Estimation — —
11. BPnP：End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization — —
12. KeyPo: Multi-view 3D Labeling and Keypoint Estimation for Transparent Objects — ---- —
13. —
14. Reconstruct Locally, Localize Globally: A Model Free Method for Object Po Estimation —
15. Learning deep network for detecting 3D object keypoints and 6D pos —
16. SSV：Self-Supervid Viewpoint Learning From Image Collections ---- —
17. Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation —
ICRA 2020
1. 6-PACK: Category-level 6D Po Tracker with Anchor-Bad Keypoints — — —
2. RotationAnchor：Robust 6D Object Po Estimation by Learning RGB-D Features — —
3. Self-Supervid 6D：Self-supervid 6D Object Po Estimation for Robot Manipulation —
4. DirectShape: Direct Photometric Alignment of Shape Priors for Visual Vehicle Po and Shape Estimatio —IROS 2020
1. — —
2. Active 6D Multi-Object Po Estimation in Cluttered Scenarios with Deep Reinforcement Learning —WACV 2020
1. PointPoNet: Point Po Network for Robust 6D Object Po Estimation —
2. SymGAN: Orientation Estimation without Annotation for Symmetric Objects —
CVPR 2019
1. DenFusion: 6D Object Po Estimation by Iterative Den Fusion — — —
2. — — —
3. PVNet: Pixel-wi Voting Network for 6DoF Po Estimation — Oral — —
4. Segmentation-driven 6D object po estimation – —
ICCV 2019
1. — Oral —
2. Pix2Po: Pixel-Wi Coordinate Regression of Objects for 6D Po Estimation — —
3. DPOD: 6D po object detector and refiner — —
4. Explaining the Ambiguity of Object Detection and 6D Po From Visual Data —
NuerIPS 2019
Neural Information Processing Systems (NuerIPS)权利法案颁布时间
1. Learning to predict 3D objects with an interpolation-bad differentiable renderer
《中小学生守则》ICRA 2019
1. MTTM：Multi-Task Template Matching for Object Detection, Segmentation and Po Estimation Using Depth Images ISRR 2019
1. kPAM: KeyPoint Affordances for Category-Level Robotic Manipulation —
RSS 2019
Robotics: Science and Systems (RSS)
1. PoRBPF: A rao-blackwellized particle filter for 6D object po tracking — —
CoRL 2019
1. Scene-level po estimation for multiple instances of denly packed objects
CVPR 2018
1. YOLO-6D：Real-Time Seamless Single Shot 6D Object Po Prediction — —炖鸡汤怎么炖
2. 3D-RCNN:Instance-level 3D object reconstruction via render-andcompare
3. Multiview consistency as supervisory signal for learning shape and po prediction
ACCV 2018
1. iPo：Instance-Aware 6D Po Estimation of Partly Occluded Objects —
ECCV 2018
1. Category-level 6D Object Po Recovery in Depth Images —
2. A unified framework for multi-view multi-class object po estimation —
3. — —
4. Implicit 3D orientation learning for 6D object detection from RGB images — —
5. End-to-end 6-DOF object po estimation through differentiable rasterization
6. Making deep heatmaps robust to partial occlusions for 3D object po estimation —
RSS 2018
1. — —
CoRL 2018
Conference on Robot Learning
1. Deep object po estimation for mantic robotic grasping of houhold objects
2.
NeurIPS 2018
1. Keypointnet：Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning — Oral —
ICCV 2017
1. SSD-6D: Making RGB-bad 3D detection and 6D po estimation great again — —
浓眉大眼的男人
2. Real-Time Monocular Po Estimation of 3D Objects using Temporally Consistent Local Color Histograms —
3. BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Pos of Challenging Objects
without Using Depth —
CVPR 2017
1. 3D bounding box estimation using deep learning and geometry
2. Global hypothesis generation for 6D object po estimation
3. SSD-6D: Making RGB-bad 3D detection and 6D po estimation great again — —
ICRA 2017
1. 6-DOF object po from mantic keypoints — —
2. Multiview lf-supervid deep learning for 6D po estimation in the amazon picking challenge
CVPR 2016
1. Uncertainty-driven 6D po estimation of objects and scenes from a single RGB image —
ECCV 2016
1. Deep learning of local RGB-D patches for 3D object detection and 6d po estimation —
ICRA 2016
1. Depth-bad object tracking using a robust gaussian filter
ICCV 2015
1. Learning analysis-by-synthesis for 6D po estimation in RGB-D images
2. Ponet: A convolutional network for real-time 6-dof camera relocalization —
ECCV 2014
1. Learning 6D object po estimation using 3D object coordinates
ACCV 2012
1. Model bad training, detection and po estimation of texture-less 3D objects in heavily cluttered scenes
