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Models/Class-balanced Focal Loss

Class-balanced Focal Loss

Reported on 10 benchmarks across 5 tasks · 2 papers · 5 SOTA

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-10-LT (ρ=10)
Error Rate· 2019-01-16
12.9
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Class-Balanced Loss Based on Effective Number of Samples arXiv:1901.05555
Long-tail LearningonCIFAR-10-LT (ρ=10)
Error Rate· 2019-01-16
12.9
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Class-Balanced Loss Based on Effective Number of Samples arXiv:1901.05555
Generalized Few-Shot LearningonCIFAR-10-LT (ρ=10)
Error Rate· 2019-01-16
12.9
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Class-Balanced Loss Based on Effective Number of Samples arXiv:1901.05555
Generalized Few-Shot ClassificationonMIMIC-CXR-LT
Balanced Accuracy· 2022-08-29
0.191
best: 0.296 (Decoupling (cRT))
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study arXiv:2208.13365
Long-tail LearningonMIMIC-CXR-LT
Balanced Accuracy· 2022-08-29
0.191
best: 0.296 (Decoupling (cRT))
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study arXiv:2208.13365
Generalized Few-Shot LearningonMIMIC-CXR-LT
Balanced Accuracy· 2022-08-29
0.191
best: 0.296 (Decoupling (cRT))
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study arXiv:2208.13365

Computer Vision4 results

Image ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2019-01-16
12.9
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Class-Balanced Loss Based on Effective Number of Samples arXiv:1901.05555
Few-Shot Image ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2019-01-16
12.9
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Class-Balanced Loss Based on Effective Number of Samples arXiv:1901.05555
Image ClassificationonMIMIC-CXR-LT
Balanced Accuracy· 2022-08-29
0.191
best: 0.296 (Decoupling (cRT))
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study arXiv:2208.13365
Few-Shot Image ClassificationonMIMIC-CXR-LT
Balanced Accuracy· 2022-08-29
0.191
best: 0.296 (Decoupling (cRT))
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study arXiv:2208.13365