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9DoF / 尺寸与姿态 · error

3D IoU

3D Bounding-box Intersection over Union

比较预测与真实三维包围盒的重叠比例,同时反映位置、旋转与尺寸。

3D IoU 是类别级 9DoF pose 的常用指标:当方法还预测 object size 时,仅看 6DoF pose 已经不够。

Principle

原理:它究竟在惩罚什么?

公式给出计算规则;示意图帮助区分误差发生在三维模型、可见表面、图像平面还是阈值聚合层。

只要位置、朝向或尺寸其中之一偏差变大,两个 box 的交集就会缩小。

它因此衡量的是“占据体积是否重合”,而不是 CAD 表面点是否精确对齐。

IoU⁡3D=∣Bpred∩Bgt∣∣Bpred∪Bgt∣\operatorname{IoU}_{3D}=\frac{|B_{pred}\cap B_{gt}|}{|B_{pred}\cup B_{gt}|}
B 可以是带朝向的三维 bounding box;实现必须明确 box 坐标、尺寸定义和相交体计算方法。
交集 ÷ 并集:位置、旋转和尺寸共同影响
本站示意:用于理解该指标关注的误差空间,并非真实数据或原论文插图。

How to compute

计算步骤

  1. 01

    由预测的 pose 与 size 构造 3D box。

  2. 02

    构造真实 3D box。

  3. 03

    计算两者交集体积与并集体积,按实例平均或阈值化为 mAP。

Strength

适合回答

  • 把类别级尺寸估计纳入同一个分数。
  • 对没有完整 CAD mesh 的场景比 ADD 更易定义。

Caveat

读表时要警惕

  • 高 IoU 不代表表面细节或关键抓取面准确。
  • 不同尺寸归一化、box 定义和 IoU 阈值会改变结果。

Paper atlas

文献库中哪些论文报告了它?

由论文的原始指标写法自动归一化得到。直接报告与通过上层协议关联的论文会明确区分。

在文献库筛选
37关联论文
37直接报告
0通过协议关联
2026 直接报告

ComPose: A Unified Completion-Pose Framework for Robust Category-Level Object Pose Estimation

CVPR · Huan Ren, Yihan Chen, Chuxin Wang 等

原始写法:3D IoU
2026 直接报告

ConceptPose: Training-Free Zero-Shot Object Pose Estimation using Concept Vectors

CVPR · Liming Kuang, Yordanka Velikova, Mahdi Saleh 等

原始写法:3D IoU
2026 直接报告

DynOPETs: A Versatile Benchmark for Dynamic Object Pose Estimation and Tracking in Moving Camera Scenarios

ICRA / IEEE RA-L · Xiangting Meng, Jiaqi Yang, Mingshu Chen 等

原始写法:3D IoU
2026 直接报告

MemPose: Category-level Object Pose Estimation with Memory

ECCV · Xiao Lin, Minghao Zhu, Yun Peng 等

原始写法:3D IoU
2026 直接报告

Deep Learning-Based Object Pose Estimation: A Comprehensive Survey

IJCV · Jian Liu, Wei Sun, Hui Yang 等

原始写法:3D IoU
2026 直接报告

Exploring Category-level Articulated Object Pose Tracking on SE(3) Manifolds

AAAI · Xianhui Meng, Yukang Huo, Li Zhang 等

原始写法:3D IoU
2026 直接报告

SE(3)-Equivariance with Geometric and Topological Guidance for Category-Level Object Pose Estimation

CVPR · Sheng Yu, Di-Hua Zhai, Yuanqing Xia

原始写法:3D IoU
2026 直接报告

You Only Pose Once: A Minimalist's Detection Transformer for Monocular RGB Category-Level 9D Multi-Object Pose Estimation

ICRA · Hakjin Lee, Junghoon Seo, Jaehoon Sim

原始写法:3D IoU
2025 直接报告

Betsu-Betsu: Multi-View Separable 3D Reconstruction of Two Interacting Objects

3DV · Suhas Gopal, Rishabh Dabral, Vladislav Golyanik 等

原始写法:3D IoU
2025 直接报告

CleanPose: Category-Level Object Pose Estimation via Causal Learning and Knowledge Distillation

ICCV · Xiao Lin, Yun Peng, Liuyi Wang 等

原始写法:3D IoU
2025 直接报告

GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation

CVPR · Weihang Li, Hongli Xu, Junwen Huang 等

原始写法:3D IoU
2025 直接报告

Leveraging Global Stereo Consistency for Category-Level Shape and 6D Pose Estimation from Stereo Images

CVPR · Junning Qiu, Minglei Lu, Fei Wang 等

原始写法:3D IoU
2025 直接报告

KeyPose: Category-Level 6D Object Pose Estimation with Self-Adaptive Keypoints

AAAI · Sheng Yu, Di-Hua Zhai, Yuanqing Xia

原始写法:3D IoU
2025 直接报告

MonoDiff9D: Monocular Category-Level 9D Object Pose Estimation via Diffusion Model

ICRA · Jian Liu, Wei Sun, Hui Yang 等

原始写法:3D IoU
2025 直接报告

R²-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render Strategy

AAAI · Li Zhang, Haonan Jiang, Yukang Huo 等

原始写法:3D IoU
2025 直接报告

Rethinking Correspondence-based Category-Level Object Pose Estimation

CVPR · Huan Ren, Wenfei Yang, Shifeng Zhang 等

原始写法:3D IoU
2025 直接报告

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes

ICCV · Tom Fischer, Xiaojie Zhang, Eddy Ilg

原始写法:3D IoU
2025 直接报告

Universal Features Guided Zero-Shot Category-Level Object Pose Estimation

AAAI · Wentian Qu, Chenyu Meng, Heng Li 等

原始写法:3D IoU
2025 直接报告

You Only Estimate Once: Unified, One-Stage, Real-Time Category-Level Articulated Object 6D Pose Estimation for Robotic Grasping

ICRA · Jingshun Huang, Haitao Lin, Tianyu Wang 等

原始写法:3D IoU
2024 直接报告

Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6D Object Pose Estimation

CVPR · Xiao Lin, Wenfei Yang, Yuan Gao 等

原始写法:3D IoU
2024 直接报告

Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images

ECCV · Chuanrui Zhang, Yonggen Ling, Minglei Lu 等

原始写法:3D IoU
2024 直接报告

RGB-Based Category-Level Object Pose Estimation via Decoupled Metric Scale Recovery

ICRA · Jiaxin Wei, Xibin Song, Weizhe Liu 等

原始写法:3D IoU
2024 直接报告

Implicit Coarse-to-Fine 3D Perception for Category-Level Object Pose Estimation from Monocular RGB Image

ICRA · Jia Li, Li Jin, Xibin Song 等

原始写法:3D IoU
2024 直接报告

GeoReF: Geometric Alignment Across Shape Variation for Category-level Object Pose Refinement

CVPR · Linfang Zheng, Tze Ho Elden Tse, Chen Wang 等

原始写法:3D IoU
2024 直接报告

GS-Pose: Category-Level Object Pose Estimation via Geometric and Semantic Correspondence

ECCV · Pengyuan Wang, Takuya Ikeda, Robert Lee 等

原始写法:3D IoU
2024 直接报告

HouseCat6D - A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios

CVPR · HyunJun Jung, Shun-Cheng Wu, Patrick Ruhkamp 等

原始写法:3D IoU
2024 直接报告

L4D-Track: Language-to-4D Modeling Towards 6-DoF Tracking and Shape Reconstruction in 3D Point Cloud Stream

CVPR · Jingtao Sun, Yaonan Wang, Mingtao Feng 等

原始写法:3D IoU
2024 直接报告

LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation

ECCV · Ruida Zhang, Ziqin Huang, Gu Wang 等

原始写法:3D IoU
2024 直接报告

Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments

CVPR · Liyuan Zhu, Shengyu Huang, Konrad Schindler 等

原始写法:3D IoU
2024 直接报告

Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation

ECCV · Mengchen Zhang, Tong Wu, Tai Wang 等

原始写法:3D IoU
2024 直接报告

Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking

ECCV · Jiyao Zhang, Weiyao Huang, Bo Peng 等

原始写法:3D IoU
2024 直接报告

OmniNOCS: A Unified NOCS Dataset and Model for 3D Lifting of 2D Objects

ECCV · Akshay Krishnan, Abhijit Kundu, Kevis-Kokitsi Maninis 等

原始写法:3D IoU
2024 直接报告

PACE: A Large-Scale Dataset with Pose Annotations in Cluttered Environments

ECCV · Yang You, Kai Xiong, Zhening Yang 等

原始写法:3D IoU
2024 直接报告

SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation

CVPR · Yamei Chen, Yan Di, Guangyao Zhai 等

原始写法:3D IoU
2024 直接报告

U-COPE: Taking a Further Step to Universal 9D Category-level Object Pose Estimation

ECCV · Li Zhang, Weiqing Meng, Yan Zhong 等

原始写法:3D IoU
2022 直接报告

CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation

ICRA · Muhammad Zubair Irshad, Thomas Kollar, Michael Laskey 等

原始写法:3D IoU
2019 直接报告

Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation

CVPR · He Wang, Srinath Sridhar, Jingwei Huang 等

原始写法:3D IoU
定义与协议来源展开查看原始论文、综述和官方评测页面。