Superpixel Sampling Networks
PyTorch implementation of Superpixel Sampling Networks
paper: https://arxiv.org/abs/1807.10174
original code: https://github.com/NVlabs/ssn_superpixels
Note
A pure PyTorch implementation of the core component, differentiable SLIC, is available here (note that it implements the similarity function as the cosine similarity instead of the negative Euclidean distance).
Requirements
- PyTorch >= 1.4
- scikit-image
- matplotlib
Usage
inference
SSN_pix
python inference --image /path/to/image
SSN_deep
python inference --image /path/to/image --weight /path/to/pretrained_weight
training
python train.py --root /path/to/BSDS500
Results
SSN_pix
SSN_deep
