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(CVPR19) Learning Unsupervised Video Object Segmentation through Visual Attention
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README.md

Caffe Implementation (v1) for

Learning Unsupervised Video Primary Object Segmentation through Visual Attention (CVPR19)

Wenguan Wang, Hongmei Song, Shuyang Zhao, Jianbing Shen, Sanyuan Zhao, Steven Chu Hong Hoi, and Haibin Ling


  1. Please install our modified caffe first.

  2. Download the model weight from https://drive.google.com/open?id=1aO2nAaQMy-A76NjRSQDTx53AfpqyWUCt and put dvap_agos.caffemodel into the 'model' folder.

  3. Then edit paths in './test/test.py' and './test/davis_bs3.txt'.

  4. After you get the original results from the network, you can use './test/davis_crf.py' to process them.

  5. Our results on DAVIS16, FBMS and Youtube can be find at 'seg_results.rar'. Saliency results can be found at https://drive.google.com/file/d/1qtr2h69MEkBYLno_KqYIuiwZGFYmSHr4/view?usp=sharing

  6. Human eye fixation data for DAVIS16, Youtube and Segtrackv2 can be found at https://drive.google.com/open?id=11LAg69lnCp7TfWFYjntPm4RK4KfgL8_Y.

  7. Our model, segmentation and saliency results, and fixation data can also be found at Baidu Pan https://pan.baidu.com/s/1hz6iVOAMW3QRORebK3mC3Q , extaction code: 6prn

If you find our method useful in your research, please cite the following papers:

@InProceedings{Wang_2019_CVPR,
author = {Wang, Wenguan and Song, Hongmei and Zhao, Shuyang and Shen, Jianbing and Zhao, Sanyuan and Hoi, Steven Chu Hong and Ling, Haibin},
title = {Learning Unsupervised Video Object Segmentation through Visual Attention},
booktitle = {CVPR},
year = {2019}
}

@InProceedings{Song_2018_ECCV,
author = {Song, Hongmei and Wang, Wenguan and Zhao, Sanyuan and Shen, Jianbing and Lam, Kin-Man},
title = {Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection},
booktitle = {ECCV},
year = {2018}
}

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Any comments, please email: wenguanwang.ai@gmail.com

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