EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation-Reference-Cited by-同舟云学术

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EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Chen Hansheng¹,Wang Pichao²,Wang Fan²,Tian Wei¹,Xiong Lu¹,Li Hao²

Affiliation:

1. School of Automotive Studies, Tongji University

2. Alibaba Group

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879345.pdf?arnumber=9879345

Reference48 articles.

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

2. Attention is all you need;ashish;NIPS,2017

3. Robust Pose Estimation from a Planar Target

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

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

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1. End-to-End Implicit Object Pose Estimation;Sensors;2024-09-03

2. 3D multi-object tracking based on informatic divergence-guided data association;Signal Processing;2024-09

3. EdgePose: An Edge Attention Network for 6D Pose Estimation;Mathematics;2024-08-23

4. Radar-camera fusion for 3D object detection with aggregation transformer;Applied Intelligence;2024-08-22

5. LA-Net: An End-to-End Category-Level Object Attitude Estimation Network Based on Multi-Scale Feature Fusion and an Attention Mechanism;Electronics;2024-07-17

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