Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hierarchical relationships in the data.
-
Updated
Aug 3, 2026 - Python
#
hierarchical-labels
Here are 2 public repositories matching this topic...
H-CapsNet: A Capsule Network for Hierarchical Image Classification
deep-neural-networks tensorflow image-classification deeplearning hierarchical-data multi-label-classification hierarchical-models fine-grained-classification capsule-network hierarchical-classification hierarchical-multilabel coarse-to-fine hierarchical-multitask-learning hierarchical-image-classification hierarchical-labels hierarchical-label-tree hierarchical-multilabel-classification
-
Updated
Aug 27, 2024 - Jupyter Notebook
Add this topic to your repo
To associate your repository with the hierarchical-labels topic, visit your repo's landing page and select "manage topics."