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title: Visual Saliency Prediction | |
emoji: ⚡ | |
colorFrom: pink | |
colorTo: blue | |
sdk: gradio | |
sdk_version: 4.26.0 | |
app_file: app.py | |
pinned: false | |
license: mit | |
This demo is based on the implementation of MSI-Net (multi-scale information network), as described in the Neural Networks paper [Contextual encoder-decoder network for visual saliency prediction](https://doi.org/10.1016/j.neunet.2020.05.004) (2020) and on [arXiv](https://arxiv.org/abs/1902.06634). If you find the model or results useful, please cite the following paper: | |
``` | |
@article{kroner2020contextual, | |
title={Contextual encoder-decoder network for visual saliency prediction}, | |
author={Kroner, Alexander and Senden, Mario and Driessens, Kurt and Goebel, Rainer}, | |
url={http://www.sciencedirect.com/science/article/pii/S0893608020301660}, | |
doi={https://doi.org/10.1016/j.neunet.2020.05.004}, | |
journal={Neural Networks}, | |
publisher={Elsevier}, | |
year={2020}, | |
volume={129}, | |
pages={261--270}, | |
issn={0893-6080} | |
} | |
``` |