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Datasets/ViSal

ViSal

Introduced 2016-09-02

DataViSal.rar (including the ground truth data) is our new collected dataset for the following paper.

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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

The related source code can be downloaded from: https://github.com/shenjianbing/videosal

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Note:

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The data and code files are free to use for research purposes. If you use them for research purposes, you should cite above paper in any resulting publication.

This code also uses some publicly available functions.

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Contact Information

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Email:

wenguanwang@bit.edu.cn

shenjianbing@bit.edu.cn

  shenjianbingcg@gmail.com

Benchmarks

16k/S-Measure16k/max E-measure16k/Average MAE2D Classification/S-Measure2D Classification/max E-measure2D Classification/Average MAE2D Object Detection/S-Measure2D Object Detection/max E-measure2D Object Detection/Average MAE3D/S-Measure3D/max E-measure3D/Average MAEObject Detection/S-MeasureObject Detection/max E-measureObject Detection/Average MAERGB Salient Object Detection/S-MeasureRGB Salient Object Detection/max E-measureRGB Salient Object Detection/Average MAEVideo/S-MeasureVideo/max E-measureVideo/Average MAEVideo Object Segmentation/S-MeasureVideo Object Segmentation/max E-measureVideo Object Segmentation/Average MAE

Statistics

Papers
10
Benchmarks
24

Links

Homepage

Tasks

16k2D Classification2D Object Detection3DObject DetectionRGB Salient Object DetectionVideoVideo Object SegmentationVideo Salient Object Detection