Multi-path Learning for Object Pose Estimation Across Domains

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Multi-path Learning for Object Pose Estimation Across Domains

1 August 2019

Zoltán-Csaba Márton

Narunas Vaskevicius

Rudolph Triebel

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Papers citing "Multi-path Learning for Object Pose Estimation Across Domains"

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Title
A Hybrid Approach for 6DoF Pose Estimation Rebecca König Bertram Drost 3DPC 64 28 0 11 Nov 2020
3D Object Detection and Pose Estimation of Unseen Objects in Color Images with Local Surface Embeddings Giorgia Pitteri Aurélie Bugeau Slobodan Ilic Vincent Lepetit 3DPC 69 28 0 08 Oct 2020
CAD2Real: Deep learning with domain randomization of CAD data for 3D pose estimation of electronic control unit housings Simon Baeuerle Jonas Barth Elton Renato Tavares de Menezes Andreas Steimer Ralf Mikut 3DPC 105 0 0 25 Sep 2020
BOP Challenge 2020 on 6D Object Localization Tomás Hodan M. Sundermeyer Bertram Drost Yann Labbé Eric Brachmann Frank Michel Carsten Rother Jirí Matas 3DPC 100 270 0 15 Sep 2020
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild Yang Xiao Vincent Lepetit Renaud Marlet 3DPC 138 321 0 23 Jul 2020
CPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular Images With Self-Supervised Learning Fabian Manhardt Gu Wang Benjamin Busam M. Nickel Sven Meier Luca Minciullo Xiangyang Ji Nassir Navab 62 13 0 12 Mar 2020
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation Keunhong Park Arsalan Mousavian Yu Xiang Dieter Fox 89 134 0 01 Dec 2019
PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking Xinke Deng Arsalan Mousavian Yu Xiang F. Xia Timothy Bretl Dieter Fox 84 206 0 22 May 2019