Bop challenge 2022 on detection, segmentation and pose estimation of specific rigid objects
We present the evaluation methodology, datasets and results of the BOP Challenge 2022,
the fourth in a series of public competitions organized with the goal to capture the status quo …
the fourth in a series of public competitions organized with the goal to capture the status quo …
BOP Challenge 2023 on Detection Segmentation and Pose Estimation of Seen and Unseen Rigid Objects
T Hodan, M Sundermeyer, Y Labbe… - Proceedings of the …, 2024 - openaccess.thecvf.com
We present the evaluation methodology datasets and results of the BOP Challenge 2023 the
fifth in a series of public com-petitions organized to capture the state of the art in model …
fifth in a series of public com-petitions organized to capture the state of the art in model …
Instance-adaptive and geometric-aware keypoint learning for category-level 6d object pose estimation
Category-level 6D object pose estimation aims to estimate the rotation translation and size
of unseen instances within specific categories. In this area dense correspondence-based …
of unseen instances within specific categories. In this area dense correspondence-based …
Learning multi-step manipulation tasks from a single human demonstration
D Guo - arXiv preprint arXiv:2312.15346, 2023 - arxiv.org
Learning from human demonstrations has exhibited remarkable achievements in robot
manipulation. However, the challenge remains to develop a robot system that matches …
manipulation. However, the challenge remains to develop a robot system that matches …
Learning Better Keypoints for Multi-Object 6DoF Pose Estimation
Y Wu, M Greenspan - Proceedings of the IEEE/CVF Winter …, 2024 - openaccess.thecvf.com
We address the problem of keypoint selection, and find that the performance of 6DoF pose
estimation methods can be improved when pre-defined keypoint locations are learned …
estimation methods can be improved when pre-defined keypoint locations are learned …
IRPE: Instance-level reconstruction-based 6D pose estimator
L Jin, G Zhou, Z Liu, Y Yu, T Zhang, M Yang… - Image and Vision …, 2025 - Elsevier
The estimation of an object's 6D pose is a fundamental task in modern commercial and
industrial applications. Vision-based pose estimation has gained popularity due to its cost …
industrial applications. Vision-based pose estimation has gained popularity due to its cost …
Pose estimation algorithm based on point pair features using PointNet++
Y Chen, Z Li, Q Li, M Zhang - Complex & Intelligent Systems, 2024 - Springer
This study proposes an innovative deep learning algorithm for pose estimation based on
point clouds, aimed at addressing the challenges of pose estimation for objects affected by …
point clouds, aimed at addressing the challenges of pose estimation for objects affected by …
Pseudo-Keypoint RKHS Learning for Self-supervised 6DoF Pose Estimation
Y Wu, M Greenspan - European Conference on Computer Vision, 2025 - Springer
We address the simulation-to-real domain gap in six degree-of-freedom pose estimation
(6DoF PE), and propose a novel self-supervised keypoint voting-based 6DoF PE framework …
(6DoF PE), and propose a novel self-supervised keypoint voting-based 6DoF PE framework …
基於串聯模型的6D 物件偵測
歐永濬 - 淡江大學電機工程學系碩士班學位論文, 2024 - airitilibrary.com
隨著現代科技的快速發展, 智慧化和自動化的應用領域日益擴展, 機器學習作為人工智慧的重要
分支, 已在眾多領域取得顯著成就. 物件辨識技術已經在辨識物件的類別和二維影像中的位置 …
分支, 已在眾多領域取得顯著成就. 物件辨識技術已經在辨識物件的類別和二維影像中的位置 …
[PDF][PDF] Supplementary Material-RDPN6D: Residual-based Dense Point-wise Network for 6Dof Object Pose Estimation Based on RGB-D Images
ZWHYY Hung, CS Chen - openaccess.thecvf.com
Method Refinement LM-O T-LESS TUD-L YCB-V ITODD HB IC-BIN Avg (7) RCVPose 3D
SingleModel VIVO PBR [22](3DV'22) ICP 0.729 0.708 0.966 0.843 0.536 0.863 0.733 0.768 …
SingleModel VIVO PBR [22](3DV'22) ICP 0.729 0.708 0.966 0.843 0.536 0.863 0.733 0.768 …