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Models/LDAM-DRS-RSG

LDAM-DRS-RSG

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· 2021-06-18
39.3
best: 53.7 (LIFT (ViT-L/14))
RSG: A Simple but Effective Module for Learning Imbalanced Datasets arXiv:2106.09859
Generalized Few-Shot ClassificationonImageNet-LT
Top-1 Accuracy· 2021-06-18
51.8
best: 82.9 (LIFT (ViT-L/14))
RSG: A Simple but Effective Module for Learning Imbalanced Datasets arXiv:2106.09859
Long-tail LearningonPlaces-LT
Top-1 Accuracy· 2021-06-18
39.3
best: 53.7 (LIFT (ViT-L/14))
RSG: A Simple but Effective Module for Learning Imbalanced Datasets arXiv:2106.09859
Long-tail LearningonImageNet-LT
Top-1 Accuracy· 2021-06-18
51.8
best: 82.9 (LIFT (ViT-L/14))
RSG: A Simple but Effective Module for Learning Imbalanced Datasets arXiv:2106.09859
Generalized Few-Shot LearningonPlaces-LT
Top-1 Accuracy· 2021-06-18
39.3
best: 53.7 (LIFT (ViT-L/14))
RSG: A Simple but Effective Module for Learning Imbalanced Datasets arXiv:2106.09859
Generalized Few-Shot LearningonImageNet-LT
Top-1 Accuracy· 2021-06-18
51.8
best: 82.9 (LIFT (ViT-L/14))
RSG: A Simple but Effective Module for Learning Imbalanced Datasets arXiv:2106.09859

Computer Vision4 results

Image ClassificationonPlaces-LT
Top-1 Accuracy· 2021-06-18
39.3
best: 53.7 (LIFT (ViT-L/14))
RSG: A Simple but Effective Module for Learning Imbalanced Datasets arXiv:2106.09859
Image ClassificationonImageNet-LT
Top-1 Accuracy· 2021-06-18
51.8
best: 82.9 (LIFT (ViT-L/14))
RSG: A Simple but Effective Module for Learning Imbalanced Datasets arXiv:2106.09859
Few-Shot Image ClassificationonPlaces-LT
Top-1 Accuracy· 2021-06-18
39.3
best: 53.7 (LIFT (ViT-L/14))
RSG: A Simple but Effective Module for Learning Imbalanced Datasets arXiv:2106.09859
Few-Shot Image ClassificationonImageNet-LT
Top-1 Accuracy· 2021-06-18
51.8
best: 82.9 (LIFT (ViT-L/14))
RSG: A Simple but Effective Module for Learning Imbalanced Datasets arXiv:2106.09859