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You should first prepare your dataset -- download sklarge (or others) dataset and then augment them using the accompanying script. Next, if you want better performance, run dataRN.py.
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Test HED and SRN by run:
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```
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python train.py --network 'hed' # HED
@@ -84,29 +86,17 @@ python train_AdaLSN.py
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Please refer to ODN[<sup>6</sup>](#odn) for saliency detection and earthquake detection
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## Reference
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<divid="hed"></div>
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-[1] S. Xie and Z. Tu, “Holistically-nested edge detection,” in IEEE ICCV, 2015
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<divid="srn"></div>
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-[2] W. Ke, J. Chen, J. Jiao, G. Zhao, and Q. Ye, “SRN: side-output residual network for object symmetry detection in the wild,” in IEEE CVPR,2017.
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-[3] K. Zhao, W. Shen, S. Gao, D. Li, and M. Cheng, “Hi-fi: Hierarchical feature integration for skeleton detection,” in IJCAI, 2018.
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<divid="deepflux"></div>
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## Citation
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-[4] Y. Wang, Y. Xu, S. Tsogkas, X. Bai, S. J. Dickinson, and K. Siddiqi, “Deepflux for skeletons in the wild,” in IEEE CVPR, 2019.
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<divid="adalsn"></div>
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-[5] Chang Liu*, Yunjie Tian*, Jianbin Jiao and Qixiang Ye, "Adaptive Linear Span Network for Object Skeleton Detection", https://arxiv.org/abs/2011.03972.
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<divid="adalsn"></div>
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-[6] Chang Liu, Fang Wan, Wei Ke, Zhuowei Xiao, Yuan Yao, Xiaosong Zhang and Qixiang Ye, "Orthogonal Decomposition Network for Pixel-Wise Binary Classification", in IEEE CVPR, 2019.
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-[7] Chang Liu, Wei Ke, Fei Qin and Qixiang Ye, "Linear Span Network for Object Skeleton Detection", in IEEE ECCV, 2018.
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```bash
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@article{liu2021adaptive,
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title={Adaptive linear span network for object skeleton detection},
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author={Liu, Chang and Tian, Yunjie and Chen, Zhiwen and Jiao, Jianbin and Ye, Qixiang},
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