Instructions to use alexanderkroner/MSI-Net with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use alexanderkroner/MSI-Net with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("alexanderkroner/MSI-Net") - Notebooks
- Google Colab
- Kaggle
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license: mit
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pipeline_tag: image-to-image
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MSI-Net
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Contextual encoder-decoder network for visual saliency prediction
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<img src="https://github.com/alexanderkroner/saliency/blob/master/figures/results.jpg?raw=true" width="800">
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license: mit
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pipeline_tag: image-to-image
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library_name: keras
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---
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MSI-Net
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Contextual encoder-decoder network for visual saliency prediction
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A demo of this model can be found on [HuggingFace Spaces](https://huggingface.co/spaces/alexanderkroner/saliency).
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<img src="https://github.com/alexanderkroner/saliency/blob/master/figures/results.jpg?raw=true" width="800">
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