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Models/SimCLR-kmediods-PAWS

SimCLR-kmediods-PAWS

Reported on 12 benchmarks across 2 tasks · 1 paper · 12 SOTA

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

Computer Vision24 results

  • Image ClassificationonEuroSAT, 20 Labels
    Percentage error· 2023-05-17
    3.8
    SOTA
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Image ClassificationonImagenette, 20 Labels
    Percentage error· 2023-05-17
    10.8
    SOTA
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Image ClassificationonCIFAR-10, 30 Labels
    Percentage error· 2023-05-17
    6.4
    SOTA
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Image ClassificationonEuroSAT, 100 Labels
    Percentage error· 2023-05-17
    2.6
    SOTA
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Image ClassificationonImagenette, 100 Labels
    Percentage error· 2023-05-17
    6.1
    SOTA
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Image ClassificationonCIFAR-10, 100 Labels
    Percentage error· 2023-05-17
    6.1
    SOTA
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Semi-Supervised Image ClassificationonEuroSAT, 20 Labels
    Percentage error· 2023-05-17
    3.8
    SOTA
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Semi-Supervised Image ClassificationonImagenette, 20 Labels
    Percentage error· 2023-05-17
    10.8
    SOTA
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Semi-Supervised Image ClassificationonCIFAR-10, 30 Labels
    Percentage error· 2023-05-17
    6.4
    SOTA
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Semi-Supervised Image ClassificationonEuroSAT, 100 Labels
    Percentage error· 2023-05-17
    2.6
    SOTA
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Semi-Supervised Image ClassificationonImagenette, 100 Labels
    Percentage error· 2023-05-17
    6.1
    SOTA
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Semi-Supervised Image ClassificationonCIFAR-10, 100 Labels
    Percentage error· 2023-05-17
    6.1
    SOTA
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Image ClassificationonEuroSAT, 20 Labels
    Percentage error· 2023-05-17
    3.8
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Image ClassificationonCIFAR-10, 30 Labels
    Percentage error· 2023-05-17
    6.4
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Image ClassificationonImagenette, 100 Labels
    Percentage error· 2023-05-17
    6.1
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Image ClassificationonCIFAR-10, 100 Labels
    Percentage error· 2023-05-17
    6.1
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Image ClassificationonImagenette, 20 Labels
    Percentage error· 2023-05-17
    10.8
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Image ClassificationonEuroSAT, 100 Labels
    Percentage error· 2023-05-17
    2.6
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Semi-Supervised Image ClassificationonEuroSAT, 20 Labels
    Percentage error· 2023-05-17
    3.8
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Semi-Supervised Image ClassificationonCIFAR-10, 30 Labels
    Percentage error· 2023-05-17
    6.4
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Semi-Supervised Image ClassificationonImagenette, 100 Labels
    Percentage error· 2023-05-17
    6.1
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Semi-Supervised Image ClassificationonCIFAR-10, 100 Labels
    Percentage error· 2023-05-17
    6.1
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Semi-Supervised Image ClassificationonImagenette, 20 Labels
    Percentage error· 2023-05-17
    10.8
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071
  • Semi-Supervised Image ClassificationonEuroSAT, 100 Labels
    Percentage error· 2023-05-17
    2.6
    Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learningarXiv:2305.10071