PoLAr-MAE β€” semantic segmentation

PoLAr-MAE fine-tuned for 4-class LArTPC semantic segmentation (shower, track, Michel, delta); reproduces the paper mF1 β‰ˆ 0.82.

  • pimm type: PoLArMAE-SemSeg Β· 4 classes

Loading

import pimm
model = pimm.from_pretrained("hf://deeplearnphysics/polar-mae-semantic")

Provenance

Repackaged from the original PoLAr-MAE release checkpoints into the pimm export format. Inherits the source repo license.

Downloads last month
8
Safetensors
Model size
22.9M params
Tensor type
F32
Β·
Inference Providers NEW
This model isn't deployed by any Inference Provider. πŸ™‹ Ask for provider support

Dataset used to train DeepLearnPhysics/PoLAr-MAE-Semantic

Collection including DeepLearnPhysics/PoLAr-MAE-Semantic

Paper for DeepLearnPhysics/PoLAr-MAE-Semantic