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Models/LFME + OLTR

LFME + OLTR

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 ClassificationonPlaces-LT
Top-1 Accuracy· 2020-01-06
36.2
best: 53.7 (LIFT (ViT-L/14))
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification arXiv:2001.01536
Generalized Few-Shot ClassificationonImageNet-LT
Top-1 Accuracy· 2020-01-06
38.8
best: 82.9 (LIFT (ViT-L/14))
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification arXiv:2001.01536
Long-tail LearningonPlaces-LT
Top-1 Accuracy· 2020-01-06
36.2
best: 53.7 (LIFT (ViT-L/14))
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification arXiv:2001.01536
Long-tail LearningonImageNet-LT
Top-1 Accuracy· 2020-01-06
38.8
best: 82.9 (LIFT (ViT-L/14))
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification arXiv:2001.01536
Generalized Few-Shot LearningonPlaces-LT
Top-1 Accuracy· 2020-01-06
36.2
best: 53.7 (LIFT (ViT-L/14))
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification arXiv:2001.01536
Generalized Few-Shot LearningonImageNet-LT
Top-1 Accuracy· 2020-01-06
38.8
best: 82.9 (LIFT (ViT-L/14))
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification arXiv:2001.01536

Computer Vision4 results

Image ClassificationonPlaces-LT
Top-1 Accuracy· 2020-01-06
36.2
best: 53.7 (LIFT (ViT-L/14))
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification arXiv:2001.01536
Image ClassificationonImageNet-LT
Top-1 Accuracy· 2020-01-06
38.8
best: 82.9 (LIFT (ViT-L/14))
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification arXiv:2001.01536
Few-Shot Image ClassificationonPlaces-LT
Top-1 Accuracy· 2020-01-06
36.2
best: 53.7 (LIFT (ViT-L/14))
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification arXiv:2001.01536
Few-Shot Image ClassificationonImageNet-LT
Top-1 Accuracy· 2020-01-06
38.8
best: 82.9 (LIFT (ViT-L/14))
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification arXiv:2001.01536