Published April 27, 2023
| Version v1
Dataset
Open
CASENet: Deep Category-Aware Semantic Edge Detection
Authors/Creators
- 1. NVIDIA Research
- 2. New York University (NYU)
- 3. Google Research, University of Utah
Description
Introduction
This dataset includes initial and trained model weights (caffemodel files) for SBD/Cityscapes datasets which is used in our CASENet software available (https://github.com/merlresearch/CASENet).
Citation
If you use the data, please cite the following TR2017-100:
@inproceedings{Yu2017jul,
author = {Yu, Zhiding and Feng, Chen and Liu, Ming-Yu and Ramalingam, Srikumar},
title = {CASENet: Deep Category-Aware Semantic Edge Detection},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = 2017,
month = jul,
doi = {10.1109/CVPR.2017.191},
url = {https://www.merl.com/publications/TR2017-100}
}
Copyright and License
The CASENet dataset is released under CC-BY-SA-4.0 license.
All data:
Created by Mitsubishi Electric Research Laboratories (MERL), 2017, 2023
SPDX-License-Identifier: CC-BY-SA-4.0