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Weakly-supervised DCNN for RGB-D Object Recognition in Real-World
  Applications Which Lack Large-scale Annotated Training Data

Weakly-supervised DCNN for RGB-D Object Recognition in Real-World Applications Which Lack Large-scale Annotated Training Data

19 March 2017
Li Sun
Cheng Zhao
Rustam Stolkin
ArXivPDFHTML

Papers citing "Weakly-supervised DCNN for RGB-D Object Recognition in Real-World Applications Which Lack Large-scale Annotated Training Data"

2 / 2 papers shown
Title
Weakly Supervised 3D Object Detection from Point Clouds
Weakly Supervised 3D Object Detection from Point Clouds
Zengyi Qin
Jinglu Wang
Yan Lu
3DPC
79
62
0
28 Jul 2020
A fully end-to-end deep learning approach for real-time simultaneous 3D
  reconstruction and material recognition
A fully end-to-end deep learning approach for real-time simultaneous 3D reconstruction and material recognition
Cheng Zhao
Li Sun
Rustam Stolkin
3DV
21
45
0
14 Mar 2017
1