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/BCL(ResNet-32)

BCL(ResNet-32)

Reported on 15 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.

Methodology9 results

Generalized Few-Shot ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2022-07-19
8.9
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Balanced Contrastive Learning for Long-Tailed Visual Recognition arXiv:2207.09052
Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=50)
Error Rate· 2022-07-19
43.4
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Balanced Contrastive Learning for Long-Tailed Visual Recognition arXiv:2207.09052
Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2022-07-19
46.1
best: 10.9 (LPT)
Balanced Contrastive Learning for Long-Tailed Visual Recognition arXiv:2207.09052
Long-tail LearningonCIFAR-10-LT (ρ=10)
Error Rate· 2022-07-19
8.9
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Balanced Contrastive Learning for Long-Tailed Visual Recognition arXiv:2207.09052
Long-tail LearningonCIFAR-100-LT (ρ=50)
Error Rate· 2022-07-19
43.4
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Balanced Contrastive Learning for Long-Tailed Visual Recognition arXiv:2207.09052
Long-tail LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2022-07-19
46.1
best: 10.9 (LPT)
Balanced Contrastive Learning for Long-Tailed Visual Recognition arXiv:2207.09052
Generalized Few-Shot LearningonCIFAR-10-LT (ρ=10)
Error Rate· 2022-07-19
8.9
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Balanced Contrastive Learning for Long-Tailed Visual Recognition arXiv:2207.09052
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=50)
Error Rate· 2022-07-19
43.4
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Balanced Contrastive Learning for Long-Tailed Visual Recognition arXiv:2207.09052
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2022-07-19
46.1
best: 10.9 (LPT)
Balanced Contrastive Learning for Long-Tailed Visual Recognition arXiv:2207.09052

Computer Vision6 results

Image ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2022-07-19
8.9
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Balanced Contrastive Learning for Long-Tailed Visual Recognition arXiv:2207.09052
Image ClassificationonCIFAR-100-LT (ρ=50)
Error Rate· 2022-07-19
43.4
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Balanced Contrastive Learning for Long-Tailed Visual Recognition arXiv:2207.09052
Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2022-07-19
46.1
best: 10.9 (LPT)
Balanced Contrastive Learning for Long-Tailed Visual Recognition arXiv:2207.09052
Few-Shot Image ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2022-07-19
8.9
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Balanced Contrastive Learning for Long-Tailed Visual Recognition arXiv:2207.09052
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=50)
Error Rate· 2022-07-19
43.4
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Balanced Contrastive Learning for Long-Tailed Visual Recognition arXiv:2207.09052
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2022-07-19
46.1
best: 10.9 (LPT)
Balanced Contrastive Learning for Long-Tailed Visual Recognition arXiv:2207.09052