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Models/GLAG

GLAG

Reported on 10 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.

Methodology6 results

Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2022-02-28
35.5
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation arXiv:2203.00452
Long-tail LearningonCIFAR-100-LT (ρ=10)
Error Rate· 2022-02-28
35.5
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation arXiv:2203.00452
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=10)
Error Rate· 2022-02-28
35.5
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation arXiv:2203.00452
Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2022-02-28
48.3
best: 10.9 (LPT)
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation arXiv:2203.00452
Long-tail LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2022-02-28
48.3
best: 10.9 (LPT)
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation arXiv:2203.00452
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2022-02-28
48.3
best: 10.9 (LPT)
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation arXiv:2203.00452

Computer Vision4 results

Image ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2022-02-28
35.5
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation arXiv:2203.00452
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2022-02-28
35.5
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
SOTA
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation arXiv:2203.00452
Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2022-02-28
48.3
best: 10.9 (LPT)
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation arXiv:2203.00452
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2022-02-28
48.3
best: 10.9 (LPT)
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation arXiv:2203.00452