Supporting code for our paper:
- Rittwika Kansabank (https://github.com/Rittwika24), Adrian Barbu. Feature Selection for Latent Factor Models. CVPR, 2025. https://arxiv.org/pdf/2412.10128
Files:
- CODE_CVPR.ipynb contains all the code to extract CLIP features, train models (LFA, PPCA, ELF, Hetero PCA, Linear) with feature selection, and perform classification using the Mahalanobis distance or a standard linear projection head.