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Models/OLTR

OLTR

Reported on 15 benchmarks across 5 tasks · 1 paper · 15 SOTA

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

Methodology9 results

Generalized Few-Shot ClassificationonPlaces-LT
Top-1 Accuracy· 2019-04-10
34.1
best: 53.7 (LIFT (ViT-L/14))
SOTA
Large-Scale Long-Tailed Recognition in an Open World arXiv:1904.05160
Generalized Few-Shot ClassificationonImageNet-LT
Top-1 Accuracy· 2019-04-10
35.6
best: 82.9 (LIFT (ViT-L/14))
SOTA
Large-Scale Long-Tailed Recognition in an Open World arXiv:1904.05160
Generalized Few-Shot ClassificationonImageNet-LT-d
Per-Class Accuracy· 2019-04-10
37.7
best: 53.5 (DRAGON + Bal'Loss)
SOTA
Large-Scale Long-Tailed Recognition in an Open World arXiv:1904.05160
Long-tail LearningonPlaces-LT
Top-1 Accuracy· 2019-04-10
34.1
best: 53.7 (LIFT (ViT-L/14))
SOTA
Large-Scale Long-Tailed Recognition in an Open World arXiv:1904.05160
Long-tail LearningonImageNet-LT
Top-1 Accuracy· 2019-04-10
35.6
best: 82.9 (LIFT (ViT-L/14))
SOTA
Large-Scale Long-Tailed Recognition in an Open World arXiv:1904.05160
Long-tail LearningonImageNet-LT-d
Per-Class Accuracy· 2019-04-10
37.7
best: 53.5 (DRAGON + Bal'Loss)
SOTA
Large-Scale Long-Tailed Recognition in an Open World arXiv:1904.05160
Generalized Few-Shot LearningonPlaces-LT
Top-1 Accuracy· 2019-04-10
34.1
best: 53.7 (LIFT (ViT-L/14))
SOTA
Large-Scale Long-Tailed Recognition in an Open World arXiv:1904.05160
Generalized Few-Shot LearningonImageNet-LT
Top-1 Accuracy· 2019-04-10
35.6
best: 82.9 (LIFT (ViT-L/14))
SOTA
Large-Scale Long-Tailed Recognition in an Open World arXiv:1904.05160
Generalized Few-Shot LearningonImageNet-LT-d
Per-Class Accuracy· 2019-04-10
37.7
best: 53.5 (DRAGON + Bal'Loss)
SOTA
Large-Scale Long-Tailed Recognition in an Open World arXiv:1904.05160

Computer Vision6 results

Image ClassificationonPlaces-LT
Top-1 Accuracy· 2019-04-10
34.1
best: 53.7 (LIFT (ViT-L/14))
SOTA
Large-Scale Long-Tailed Recognition in an Open World arXiv:1904.05160
Image ClassificationonImageNet-LT
Top-1 Accuracy· 2019-04-10
35.6
best: 82.9 (LIFT (ViT-L/14))
SOTA
Large-Scale Long-Tailed Recognition in an Open World arXiv:1904.05160
Image ClassificationonImageNet-LT-d
Per-Class Accuracy· 2019-04-10
37.7
best: 53.5 (DRAGON + Bal'Loss)
SOTA
Large-Scale Long-Tailed Recognition in an Open World arXiv:1904.05160
Few-Shot Image ClassificationonPlaces-LT
Top-1 Accuracy· 2019-04-10
34.1
best: 53.7 (LIFT (ViT-L/14))
SOTA
Large-Scale Long-Tailed Recognition in an Open World arXiv:1904.05160
Few-Shot Image ClassificationonImageNet-LT
Top-1 Accuracy· 2019-04-10
35.6
best: 82.9 (LIFT (ViT-L/14))
SOTA
Large-Scale Long-Tailed Recognition in an Open World arXiv:1904.05160
Few-Shot Image ClassificationonImageNet-LT-d
Per-Class Accuracy· 2019-04-10
37.7
best: 53.5 (DRAGON + Bal'Loss)
SOTA
Large-Scale Long-Tailed Recognition in an Open World arXiv:1904.05160