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Models/LADE

LADE

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

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

Methodology15 results

Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2020-12-01
38.3
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Long-tail LearningonCIFAR-100-LT (ρ=10)
Error Rate· 2020-12-01
38.3
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=10)
Error Rate· 2020-12-01
38.3
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Generalized Few-Shot ClassificationonPlaces-LT
Top-1 Accuracy· 2020-12-01
38.8
best: 53.7 (LIFT (ViT-L/14))
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Generalized Few-Shot ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2020-12-01
11.22
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Generalized Few-Shot ClassificationonImageNet-LT
Top-1 Accuracy· 2020-12-01
53
best: 82.9 (LIFT (ViT-L/14))
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2020-12-01
54.6
best: 10.9 (LPT)
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Long-tail LearningonPlaces-LT
Top-1 Accuracy· 2020-12-01
38.8
best: 53.7 (LIFT (ViT-L/14))
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Long-tail LearningonCIFAR-10-LT (ρ=10)
Error Rate· 2020-12-01
11.22
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Long-tail LearningonImageNet-LT
Top-1 Accuracy· 2020-12-01
53
best: 82.9 (LIFT (ViT-L/14))
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Long-tail LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2020-12-01
54.6
best: 10.9 (LPT)
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Generalized Few-Shot LearningonPlaces-LT
Top-1 Accuracy· 2020-12-01
38.8
best: 53.7 (LIFT (ViT-L/14))
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Generalized Few-Shot LearningonCIFAR-10-LT (ρ=10)
Error Rate· 2020-12-01
11.22
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Generalized Few-Shot LearningonImageNet-LT
Top-1 Accuracy· 2020-12-01
53
best: 82.9 (LIFT (ViT-L/14))
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2020-12-01
54.6
best: 10.9 (LPT)
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321

Computer Vision10 results

Image ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2020-12-01
38.3
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2020-12-01
38.3
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Image ClassificationonPlaces-LT
Top-1 Accuracy· 2020-12-01
38.8
best: 53.7 (LIFT (ViT-L/14))
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Image ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2020-12-01
11.22
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Image ClassificationonImageNet-LT
Top-1 Accuracy· 2020-12-01
53
best: 82.9 (LIFT (ViT-L/14))
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2020-12-01
54.6
best: 10.9 (LPT)
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Few-Shot Image ClassificationonPlaces-LT
Top-1 Accuracy· 2020-12-01
38.8
best: 53.7 (LIFT (ViT-L/14))
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Few-Shot Image ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2020-12-01
11.22
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Few-Shot Image ClassificationonImageNet-LT
Top-1 Accuracy· 2020-12-01
53
best: 82.9 (LIFT (ViT-L/14))
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2020-12-01
54.6
best: 10.9 (LPT)
Disentangling Label Distribution for Long-tailed Visual Recognition arXiv:2012.00321