Outlier Detection
Stage 1 of the pipeline: Detecting artifacts and invalid samples in PLR signals.
Available Methods
Ground Truth
| Method |
Description |
pupil-gt |
Human-annotated ground truth masks |
Foundation Models
| Method |
Description |
MOMENT-gt-finetune |
MOMENT model finetuned on ground truth |
MOMENT-gt-zeroshot |
MOMENT model zero-shot |
MOMENT-orig-finetune |
MOMENT finetuned on original data |
UniTS-gt-finetune |
UniTS model finetuned on ground truth |
UniTS-orig-finetune |
UniTS finetuned on original data |
UniTS-orig-zeroshot |
UniTS zero-shot |
TimesNet-gt |
TimesNet on ground truth |
TimesNet-orig |
TimesNet on original data |
Traditional Methods
| Method |
Description |
LOF |
Local Outlier Factor |
OneClassSVM |
One-Class SVM |
SubPCA |
Subspace PCA |
PROPHET |
Facebook Prophet-based detection |
Ensembles
| Method |
Description |
ensemble-LOF-MOMENT-... |
Voting ensemble of multiple methods |
ensembleThresholded-... |
Thresholded ensemble |
Configuration
# In Hydra config
outlier_method: MOMENT-gt-finetune
API Reference