Representation Learning
Evaluation complete
UniShape
A shape-aware foundation model used as a frozen representation backbone for classification.
Method overview
A shape-aware foundation model used as a frozen representation backbone for classification.
Evaluated configurations
RF
Classifier heads are grouped on this page under their shared pretrained model. They remain separate leaderboard entries because they represent different experimental configurations.
- Organization
- SCUT · A*STAR · Khalifa University
- Parameters
- 3.1M backbone
- Checkpoint used
- unishape_checkpoint_zeroshot.pth
- Input Type
- Univariate + multivariate time series
- Inference
- Frozen representation + fitted classifier
Reading this model's evaluation
The method catalog describes the pretrained model; leaderboard eligibility depends on the actual coverage of each experimental configuration. Catalog inclusion does not imply complete coverage of all 198 datasets.