SHOT-VAE

Reported on 4 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision4 results

Image ClassificationonCIFAR-10, 4000 Labels
Percentage error· 2020-11-21
6.11
best: 3.96 (SimMatch)
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations arXiv:2011.10684
Image Classificationoncifar-100, 10000 Labels
Percentage error· 2020-11-21
25.3
best: 19.32 (CCSSL(FixMatch))
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations arXiv:2011.10684
Semi-Supervised Image ClassificationonCIFAR-10, 4000 Labels
Percentage error· 2020-11-21
6.11
best: 3.96 (SimMatch)
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations arXiv:2011.10684
Semi-Supervised Image Classificationoncifar-100, 10000 Labels
Percentage error· 2020-11-21
25.3
best: 19.32 (CCSSL(FixMatch))
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations arXiv:2011.10684