# ViSalientObject

**Repository Path**: joezhumin/ViSalientObject

## Basic Information

- **Project Name**: ViSalientObject
- **Description**: Video Salient Object Detection via Fully Convolutional Networks (TIP18)
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-06-25
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

Keras Implementation (v1) for



[Video salient object detection via fully convolutional networks,](https://www.researchgate.net/publication/319950992_Video_Salient_Object_Detection_via_Fully_Convolutional_Networks)
IEEE Trans. on Image Processing, 27(1):38-49, 2018



By [Wenguan Wang](https://sites.google.com/view/wenguanwang) and Jianbing Shen and Ling Shao



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Please install keras first

The model weights and results on DAVIS and FBMS datasets can be downloaded
 from 



Baidu Wangpan:https://pan.baidu.com/s/1dE22MFR 


password: jmph  



or from google drive:
https://drive.google.com/drive/u/0/folders/1mc6nnr8RrMZwAXjV0XS9Hv7QJE4quvkx



Please put the models under the folder 'videosalientobjectdetection' and run main.py.



Our results (MAE) are sightly improved over the original scores reported in our paper:

DAVIS: 0.0587
FBMS:  0.0619


You can find our results on UVSD dataset here: https://pan.baidu.com/s/1DUWHiIf-EGG1l-izaAf09Q
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Our code for synthesizing video data from still image has been uploaded.

UnZip synthesizevideo.rar first.



Then install vlfeat toolbox first (in 'functions' folder). 



Run synthesizevideo.m.



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



1) W. Wang, J. Shen, and L. Shao, 
Video salient object detection via fully convolutional networks,
 IEEE Trans. on Image Processing, 27(1):38-49, 2018



2) W. Wang, J. Shen, and L. Shao,
Consistent video saliency using local gradient flow optimization and global refinement,
IEEE Trans. on Image Processing, 24(11):4185-4196, 2015



3) W. Wang, J. Shen, R. Yang, and F. Porikli, Saliency-aware video object segmentation,
IEEE Trans. on Pattern Analysis and Machine Intelligence, 40(1):20-33, 2018



4) W. Wang, J. Shen, F. Porikli, Saliency-aware geodesic video object segmentation,
IEEE CVPR, pp. 3395-3402, 2015



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See my new work in related areas:

[(ECCV18)](https://github.com/shenjianbing/PDB-ConvLSTM)Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection, 

[(CVPR19)](https://github.com/wenguanwang/AGS) Learning Unsupervised Video Object Segmentation through Visual Attention,

(CVPR19 Oral, coming soon) Shifting More Attention to Video Salient Object Detection.

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