GLMC (ResNeXt-50)

Reported on 5 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.

Methodology3 results

Generalized Few-Shot ClassificationonImageNet-LT
Top-1 Accuracy· 2023-05-15
56.3
best: 82.9 (LIFT (ViT-L/14))
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Long-tail LearningonImageNet-LT
Top-1 Accuracy· 2023-05-15
56.3
best: 82.9 (LIFT (ViT-L/14))
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Generalized Few-Shot LearningonImageNet-LT
Top-1 Accuracy· 2023-05-15
56.3
best: 82.9 (LIFT (ViT-L/14))
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661

Computer Vision2 results

Image ClassificationonImageNet-LT
Top-1 Accuracy· 2023-05-15
56.3
best: 82.9 (LIFT (ViT-L/14))
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Few-Shot Image ClassificationonImageNet-LT
Top-1 Accuracy· 2023-05-15
56.3
best: 82.9 (LIFT (ViT-L/14))
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661