[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/tiny-and-efficient-model-for-the-edge/edge-detection-on-uded)](https://paperswithcode.com/sota/edge-detection-on-uded?p=tiny-and-efficient-model-for-the-edge)
# Tiny and Efficient Model for the Edge Detection Generalization (Paper)
## Overview
<div style="text-align:center"><img src='imgs/teedBanner.png' width=800>
</div>
Tiny and Efficient Edge Detector (TEED) is a light convolutional neural
network with only $58K$ parameters, less than $0.2$% of the
state-of-the-art models. Training on the [BIPED](https://www.kaggle.com/datasets/xavysp/biped)
dataset takes *less than 30 minutes*, with each epoch requiring
*less than 5 minutes*. Our proposed model is easy to train
and it quickly converges within very first few epochs, while the
predicted edge-maps are crisp and of high quality, see image above.
[This paper has been accepted by ICCV 2023-Workshop RCV](https://arxiv.org/abs/2308.06468).
... In construction
git clone https://github.com/xavysp/TEED.git
cd TEED
Then,
## Testing with TEED
Copy and paste your images into data/ folder, and:
python main.py --choose_test_data=-1
## Training with TEED
Set the following lines in main.py:
25: is_testing =False
# training with BIPED
223: TRAIN_DATA = DATASET_NAMES[0]
then run
python main.py
Check the configurations of the datasets in dataset.py
## UDED dataset
Here the [link](https://github.com/xavysp/UDED) to access the UDED dataset for edge detection
## Citation
If you like TEED, why not starring the project on GitHub!
[![GitHub stars](https://img.shields.io/github/stars/xavysp/TEED.svg?style=social&label=Star&maxAge=3600)](https://GitHub.com/xavysp/TEED/stargazers/)
Please cite our Dataset if you find helpful in your academic/scientific publication,
```
@InProceedings{Soria_2023teed,
author = {Soria, Xavier and Li, Yachuan and Rouhani, Mohammad and Sappa, Angel D.},
title = {Tiny and Efficient Model for the Edge Detection Generalization},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {October},
year = {2023},
pages = {1364-1373}
}
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