TROSD: A New RGB-D Dataset for Transparent and Reflective Object Segmentation in Practice-Reference-Cited by-同舟云学术

TROSD: A New RGB-D Dataset for Transparent and Reflective Object Segmentation in Practice

Author:

Sun Tianyu¹^ORCID,Zhang Guodong²,Yang Wenming²^ORCID,Xue Jing-Hao³^ORCID,Wang Guijin¹^ORCID

Affiliation:

1. Department of Electronic Engineering, Tsinghua University, Beijing, China

2. Department of Electronic Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

3. Department of Statistical Science, University College London, London, U.K.

Funder

Shanghai Artificial Intelligence Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

Reference56 articles.

4. OCNet: Object context network for scene parsing;yuan;arXiv 1809 00916,2018

5. Rethinking atrous convolution for semantic image segmentation;chen;arXiv 1706 05587,2017

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