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Models/MetaSAug-LDAM

MetaSAug-LDAM

Reported on 40 benchmarks across 5 tasks · 1 paper · 25 SOTA

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

Methodology24 results

Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=200)
Error Rate· 2021-03-23
56.91
best: 52 (PaCo + SAM)
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=50)
Error Rate· 2021-03-23
47.73
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Generalized Few-Shot ClassificationonCIFAR-10-LT (ρ=50)
Error Rate· 2021-03-23
15.66
best: 8.44 (GLMC + SAM)
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Generalized Few-Shot ClassificationonCIFAR-10-LT (ρ=100)
Error Rate· 2021-03-23
19.34
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Generalized Few-Shot ClassificationonCIFAR-10-LT (ρ=200)
Error Rate· 2021-03-23
22.65
best: 21.9 (LDAM + DRW + SAM)
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Long-tail LearningonCIFAR-100-LT (ρ=200)
Error Rate· 2021-03-23
56.91
best: 52 (PaCo + SAM)
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Long-tail LearningonCIFAR-100-LT (ρ=50)
Error Rate· 2021-03-23
47.73
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Long-tail LearningonCIFAR-10-LT (ρ=50)
Error Rate· 2021-03-23
15.66
best: 8.44 (GLMC + SAM)
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Long-tail LearningonCIFAR-10-LT (ρ=100)
Error Rate· 2021-03-23
19.34
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Long-tail LearningonCIFAR-10-LT (ρ=200)
Error Rate· 2021-03-23
22.65
best: 21.9 (LDAM + DRW + SAM)
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=200)
Error Rate· 2021-03-23
56.91
best: 52 (PaCo + SAM)
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=50)
Error Rate· 2021-03-23
47.73
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Generalized Few-Shot LearningonCIFAR-10-LT (ρ=50)
Error Rate· 2021-03-23
15.66
best: 8.44 (GLMC + SAM)
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Generalized Few-Shot LearningonCIFAR-10-LT (ρ=100)
Error Rate· 2021-03-23
19.34
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Generalized Few-Shot LearningonCIFAR-10-LT (ρ=200)
Error Rate· 2021-03-23
22.65
best: 21.9 (LDAM + DRW + SAM)
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Generalized Few-Shot ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2021-03-23
10.32
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2021-03-23
38.72
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2021-03-23
51.99
best: 10.9 (LPT)
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Long-tail LearningonCIFAR-10-LT (ρ=10)
Error Rate· 2021-03-23
10.32
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Long-tail LearningonCIFAR-100-LT (ρ=10)
Error Rate· 2021-03-23
38.72
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Long-tail LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2021-03-23
51.99
best: 10.9 (LPT)
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Generalized Few-Shot LearningonCIFAR-10-LT (ρ=10)
Error Rate· 2021-03-23
10.32
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=10)
Error Rate· 2021-03-23
38.72
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2021-03-23
51.99
best: 10.9 (LPT)
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579

Computer Vision16 results

Image ClassificationonCIFAR-100-LT (ρ=200)
Error Rate· 2021-03-23
56.91
best: 52 (PaCo + SAM)
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Image ClassificationonCIFAR-100-LT (ρ=50)
Error Rate· 2021-03-23
47.73
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Image ClassificationonCIFAR-10-LT (ρ=50)
Error Rate· 2021-03-23
15.66
best: 8.44 (GLMC + SAM)
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Image ClassificationonCIFAR-10-LT (ρ=100)
Error Rate· 2021-03-23
19.34
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Image ClassificationonCIFAR-10-LT (ρ=200)
Error Rate· 2021-03-23
22.65
best: 21.9 (LDAM + DRW + SAM)
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=200)
Error Rate· 2021-03-23
56.91
best: 52 (PaCo + SAM)
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=50)
Error Rate· 2021-03-23
47.73
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Few-Shot Image ClassificationonCIFAR-10-LT (ρ=50)
Error Rate· 2021-03-23
15.66
best: 8.44 (GLMC + SAM)
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Few-Shot Image ClassificationonCIFAR-10-LT (ρ=100)
Error Rate· 2021-03-23
19.34
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Few-Shot Image ClassificationonCIFAR-10-LT (ρ=200)
Error Rate· 2021-03-23
22.65
best: 21.9 (LDAM + DRW + SAM)
SOTA
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Image ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2021-03-23
10.32
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Image ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2021-03-23
38.72
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2021-03-23
51.99
best: 10.9 (LPT)
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Few-Shot Image ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2021-03-23
10.32
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2021-03-23
38.72
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2021-03-23
51.99
best: 10.9 (LPT)
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition arXiv:2103.12579