Skip to content

yx-yyds/TANet

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

TANet

Textureness-Aware Neural Network for Edge Detection
Xi Yang, Liangfei Cheng, Guowu Yuan, Hao Wu
PRCV 2024

Preparing Data

The processed dataset is from LPCB, you can download the used matlab code and processed data from the Baidu disk, the code is 3tii. The complete processed BSDS training dataset can be downloaded from the Google disk.

Checkpoint

BSDS with single scale: Quark disk or Google disk
VOC pretrain model: Quark disk or Google disk

Acknowledgement & Citation

The dataset is highly based on the LPCB, and the code is highly based on RCF_Pytorch_Updated and segmentation_models.pytorch. Many thanks for their great work.
Please consider citing this project in your publications if it helps your research.

@article{zhou2023treasure,
  title={The Treasure Beneath Multiple Annotations: An Uncertainty-aware Edge Detector},
  author={Zhou, Caixia and Huang, Yaping and Pu, Mengyang and Guan, Qingji and Huang, Li and Ling, Haibin},
  journal={arXiv preprint arXiv:2303.11828},
  year={2023}
}
@inproceedings{deng2018learning,
  title={Learning to predict crisp boundaries},
  author={Deng, Ruoxi and Shen, Chunhua and Liu, Shengjun and Wang, Huibing and Liu, Xinru},
  booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
  pages={562--578},
  year={2018}
}

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages