├── .gitignore ├── README.md ├── assets └── HIS.jpeg ├── datasets ├── ADE │ ├── ADE20K_hierarchy_v3.json │ ├── ADE20K_i2c.pck │ └── ADE20K_i2c.txt ├── coco │ ├── COCO10K_hierarchy.json │ ├── COCO10K_i2c.txt │ ├── coco_data │ │ └── .gitignore │ └── hierarchy.png ├── pascal │ ├── PASCAL_hierarchy.json │ ├── PASCAL_i2c.txt │ └── hierarchy.png └── toy │ ├── toy_hierarchy.json │ └── toy_i2c.txt ├── hesp ├── __init__.py ├── config │ ├── config.py │ ├── dataset_config.py │ ├── embedding_space_config.py │ ├── prototyper_config.py │ └── segmenter_config.py ├── embedding_space │ ├── __init__.py │ ├── abstract_embedding_space.py │ ├── embedding_space.py │ ├── euclidean_embedding_space.py │ └── hyperbolic_embedding_space.py ├── hierarchy │ ├── hierarchy_helpers.py │ ├── node.py │ └── tree.py ├── models │ ├── __init__.py │ ├── abstract_model.py │ ├── embedding_functions │ │ ├── __init__.py │ │ ├── deeplab.py │ │ ├── deeplab_MC_dropout.py │ │ ├── resnet_utils.py │ │ └── resnet_v2_MC.py │ ├── model.py │ └── segmenter.py ├── util │ ├── __init__.py │ ├── data_helpers.py │ ├── hyperbolic_nn.py │ ├── label_colours.npy │ ├── layers.py │ ├── loss.py │ └── metrics.py └── visualize │ └── visualize_helpers.py ├── requirements.sh ├── requirements.txt ├── samples ├── generate_confidence_map.py ├── inspect_bayesian_output.py └── train.py └── setup.py /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MinaGhadimiAtigh/HyperbolicImageSegmentation/HEAD/.gitignore -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MinaGhadimiAtigh/HyperbolicImageSegmentation/HEAD/README.md -------------------------------------------------------------------------------- /assets/HIS.jpeg: -------------------------------------------------------------------------------- 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