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YOLOPose V2: Understanding and improving transformer-based 6D pose estimation

https://doi.org/10.1016/j.robot.2023.104490

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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BOP Challenge 2020 on 6D Object Localization

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T6D-Direct: Transformers for Multi-object 6D Pose Direct Regression

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Towards Data-Efficient Detection Transformers

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YOLOPose: Transformer-Based Multi-object 6D Pose Estimation Using Keypoint Regression

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Microsoft COCO: Common Objects in Context

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3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints

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A Theory of Refractive and Specular 3D Shape by Light-Path Triangulation

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Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression

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DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

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PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation

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Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes

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End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization

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PVN3D: A Deep Point-Wise 3D Keypoints Voting Network for 6DoF Pose Estimation

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FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation

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GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation

inferredcites →https://doi.org/10.1109/cvprw.2009.5206777openalex-snapshot

Distance transform templates for object detection and pose estimation

inferredcites →https://doi.org/10.1109/cvprw59228.2023.00279openalex-snapshot

BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects

inferredcites →https://doi.org/10.1109/humanoids43949.2019.9035024openalex-snapshot

Refining 6D Object Pose Predictions using Abstract Render-and-Compare

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BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth

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Point Transformer

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Real-time scalable 6DOF pose estimation for textureless objects

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6-DoF object pose from semantic keypoints

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Robust 6D Object Pose Estimation in Cluttered Scenes Using Semantic Segmentation and Pose Regression Networks

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Recognition and Pose Estimation of Rigid Transparent Objects with a Kinect Sensor

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What points at this work

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ConPose: a jointly trained, single-pass RGB detection-and-pose framework for intermeshed steel connections

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Homogeneous multimodal adaptive cross-attention fusion with confidence-aware keypoints evaluation for 6DoF pose estimation

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MRPose: Multi‐Robot Relative 6D Pose Estimation for Unseen Objects From RGB Images

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MPE: MultiPlex Interactive Learning for Multi-Robot Collaborative 6D Object Pose Estimation

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RACE-6D: Real-time Accurate Coarse-to-FinE Object 6D Pose Transformer

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MOTPose: Multi-object 6D Pose Estimation for Dynamic Video Sequences using Attention-based Temporal Fusion

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CPF6D: 6DoF Pose Estimation Net based on Context Part Fusion for Robotic Grasping

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Efficient Multi-Object Pose Estimation Using Multi-Resolution Deformable Attention and Query Aggregation

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FusionNet: An End-to-End Hybrid Model for 6D Object Pose Estimation

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