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SIDOD: A Synthetic Image Dataset for 3D Object Pose Recognition with
  Distractors

SIDOD: A Synthetic Image Dataset for 3D Object Pose Recognition with Distractors

12 August 2020
Mona Jalal
Josef Spjut
Ben Boudaoud
Margrit Betke
ArXiv (abs)PDFHTML

Papers citing "SIDOD: A Synthetic Image Dataset for 3D Object Pose Recognition with Distractors"

4 / 4 papers shown
Title
PoseFusion: Robust Object-in-Hand Pose Estimation with SelectLSTM
PoseFusion: Robust Object-in-Hand Pose Estimation with SelectLSTM
Yuyang Tu
Junnan Jiang
Shuang Li
Norman Hendrich
Miaopeng Li
Jianwei Zhang
85
7
0
10 Apr 2023
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare
  Supervised Learning and Downstream Domain Adaptation
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation
Hui Tang
Kui Jia
OOD
86
14
0
16 Mar 2023
Blocks World Revisited: The Effect of Self-Occlusion on Classification
  by Convolutional Neural Networks
Blocks World Revisited: The Effect of Self-Occlusion on Classification by Convolutional Neural Networks
M. Solbach
John K. Tsotsos
34
3
0
25 Feb 2021
Detection and Segmentation of Custom Objects using High Distraction
  Photorealistic Synthetic Data
Detection and Segmentation of Custom Objects using High Distraction Photorealistic Synthetic Data
Roey Ron
Gil Elbaz
35
0
0
28 Jul 2020
1