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SCANet

This repo. is an official implementation of the SCANet , which has been accepted in the journal Neural computing and applications, 2022.

An typical example DAVIS: Parkour

The main pipeline is shown as the following, SCANet

And qualitative and quantitative results are listed quantitative results quantitative results

Training

pretrained ViT is available at (Baidu) [code:nnty]

python train.py

Test

 python test.py

We provide the trained model file (Baidu) [code:u4yy]

The saliency maps are also available (Baidu). [code:e0pi]

Citation

Please cite the SCANet in your publications if it helps your research:

@article{CHEN2022,
  title = {Spatiotemporal Context-aware Network for Video Salient Object Detection},
  author = {Tianyou Chen and Jin Xiao and Xiaoguang Hu and Guofeng Zhang and Shaojie Wang},
  journal = {Neural Computing and Applications},
  year = {2022},
}

Reference

STVS BBSNet

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