Binh-Son Hua1,2 Minh-Khoi Tran2 Sai-Kit Yeung2
1The University of Tokyo 2Singapore University of Technology and Design
Computer Vision and Pattern Recognition (CVPR) 2018
SceneNN data: 76 scenes re-annotated with NYU-D v2 40 classes.
56 scenes for training and 20 scenes for testing scene semantic segmentation task.
Link 1: SUTD
Link 2: Google Drive
@inproceedings{hua-pointwise-cvpr18,
title = {Pointwise Convolutional Neural Networks},
author = {Binh-Son Hua and Minh-Khoi Tran and Sai-Kit Yeung},
booktitle = {Computer Vision and Pattern Recognition (CVPR)},
year = {2018}
}
We thank Quang-Hieu Pham for helping with the 2D-to-3D semantic segmentation experiment and proofreading the paper, Quang-Trung Truong and Benjamin Kang Yue Sheng for their kind support for the neural network training experiments.
Binh-Son Hua and Sai-Kit Yeung are supported by the SUTD Digital Manufacturing and Design Centre which is supported by the Singapore National Research Foundation (NRF). Sai-Kit Yeung is also supported by Singapore MOE Academic Research Fund MOE2016-T2-2-154, Heritage Research Grant of the National Heritage Board, Singapore, and Singapore NRF under its IDM Futures Funding Initiative and Virtual Singapore Award No. NRF2015VSGAA3DCM001- 014.