Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/VS + SAM

VS + SAM

Reported on 10 benchmarks across 5 tasks · 1 paper

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

Methodology6 results

Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2022-12-28
53.4
best: 10.9 (LPT)
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Generalized Few-Shot ClassificationonCIFAR-10-LT (ρ=100)
Error Rate· 2022-12-28
17.6
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Long-tail LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2022-12-28
53.4
best: 10.9 (LPT)
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Long-tail LearningonCIFAR-10-LT (ρ=100)
Error Rate· 2022-12-28
17.6
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2022-12-28
53.4
best: 10.9 (LPT)
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Generalized Few-Shot LearningonCIFAR-10-LT (ρ=100)
Error Rate· 2022-12-28
17.6
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827

Computer Vision4 results

Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2022-12-28
53.4
best: 10.9 (LPT)
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Image ClassificationonCIFAR-10-LT (ρ=100)
Error Rate· 2022-12-28
17.6
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2022-12-28
53.4
best: 10.9 (LPT)
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827
Few-Shot Image ClassificationonCIFAR-10-LT (ρ=100)
Error Rate· 2022-12-28
17.6
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data arXiv:2212.13827