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Segmenting Unseen Industrial Components in a Heavy Clutter Using RGB-D
  Fusion and Synthetic Data
v1v2v3 (latest)

Segmenting Unseen Industrial Components in a Heavy Clutter Using RGB-D Fusion and Synthetic Data

International Conference on Information Photonics (ICIP), 2020
10 February 2020
S. Back
Jongwon Kim
R. Kang
Seungjun Choi
Kyoobin Lee
ArXiv (abs)PDFHTML

Papers citing "Segmenting Unseen Industrial Components in a Heavy Clutter Using RGB-D Fusion and Synthetic Data"

7 / 7 papers shown
Bin-picking of novel objects through category-agnostic-segmentation: RGB
  matters
Bin-picking of novel objects through category-agnostic-segmentation: RGB matters
Prem Raj
S. Bhadang
Gaurav Chaudhary
Laxmidhar Behera
Tushar Sandhan
204
2
0
27 Dec 2023
SKU-Patch: Towards Efficient Instance Segmentation for Unseen Objects in
  Auto-Store
SKU-Patch: Towards Efficient Instance Segmentation for Unseen Objects in Auto-Store
Biqi Yang
Weiliang Tang
Xiaojie Gao
Xianzhi Li
Yunhui Liu
Chi-Wing Fu
Pheng-Ann Heng
244
1
0
08 Nov 2023
SupeRGB-D: Zero-shot Instance Segmentation in Cluttered Indoor
  Environments
SupeRGB-D: Zero-shot Instance Segmentation in Cluttered Indoor EnvironmentsIEEE Robotics and Automation Letters (RA-L), 2022
Evin Pınar Örnek
Aravindhan K. Krishnan
Shreekant Gayaka
Cheng-Hao Kuo
Arnie Sen
Nassir Navab
F. Tombari
200
11
0
22 Dec 2022
Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion
  Modeling
Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion ModelingIEEE International Conference on Robotics and Automation (ICRA), 2021
S. Back
Joosoon Lee
Taewon Kim
Sangjun Noh
Raeyoung Kang
Seongho Bak
Kyoobin Lee
251
85
0
23 Sep 2021
Deep Learning based Food Instance Segmentation using Synthetic Data
Deep Learning based Food Instance Segmentation using Synthetic Data
Deokhwan Park
Joosoon Lee
Junseok Lee
Kyoobin Lee
SSeg
211
28
0
15 Jul 2021
Unknown Object Segmentation from Stereo Images
Unknown Object Segmentation from Stereo ImagesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
M. Durner
W. Boerdijk
M. Sundermeyer
W. Friedl
Zoltán-Csaba Márton
Rudolph Triebel
205
39
0
11 Mar 2021
Multiple Classification with Split Learning
Multiple Classification with Split Learning
Jongwon Kim
Sungho Shin
Yeonguk Yu
Junseok Lee
Kyoobin Lee
FedML
308
14
0
22 Aug 2020
1
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