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Models/GLMC (ResNet-34, channel x4)

GLMC (ResNet-34, channel x4)

Reported on 25 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.

Methodology15 results

Generalized Few-Shot ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2023-05-15
5.15
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Long-tail LearningonCIFAR-10-LT (ρ=10)
Error Rate· 2023-05-15
5.15
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Generalized Few-Shot LearningonCIFAR-10-LT (ρ=10)
Error Rate· 2023-05-15
5.15
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=50)
Error Rate· 2023-05-15
36.15
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2023-05-15
26.53
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Generalized Few-Shot ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2023-05-15
42.01
best: 10.9 (LPT)
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Generalized Few-Shot ClassificationonCIFAR-10-LT (ρ=100)
Error Rate· 2023-05-15
11.5
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Long-tail LearningonCIFAR-100-LT (ρ=50)
Error Rate· 2023-05-15
36.15
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Long-tail LearningonCIFAR-100-LT (ρ=10)
Error Rate· 2023-05-15
26.53
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Long-tail LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2023-05-15
42.01
best: 10.9 (LPT)
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Long-tail LearningonCIFAR-10-LT (ρ=100)
Error Rate· 2023-05-15
11.5
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=50)
Error Rate· 2023-05-15
36.15
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=10)
Error Rate· 2023-05-15
26.53
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Generalized Few-Shot LearningonCIFAR-100-LT (ρ=100)
Error Rate· 2023-05-15
42.01
best: 10.9 (LPT)
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Generalized Few-Shot LearningonCIFAR-10-LT (ρ=100)
Error Rate· 2023-05-15
11.5
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661

Computer Vision10 results

Image ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2023-05-15
5.15
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Few-Shot Image ClassificationonCIFAR-10-LT (ρ=10)
Error Rate· 2023-05-15
5.15
best: 5 (GLMC+MaxNorm (ResNet-34, channel x4))
SOTA
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Image ClassificationonCIFAR-100-LT (ρ=50)
Error Rate· 2023-05-15
36.15
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Image ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2023-05-15
26.53
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2023-05-15
42.01
best: 10.9 (LPT)
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Image ClassificationonCIFAR-10-LT (ρ=100)
Error Rate· 2023-05-15
11.5
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=50)
Error Rate· 2023-05-15
36.15
best: 9.8 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=10)
Error Rate· 2023-05-15
26.53
best: 8.7 (LIFT (ViT-B/16, ImageNet-21K pre-training))
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Few-Shot Image ClassificationonCIFAR-100-LT (ρ=100)
Error Rate· 2023-05-15
42.01
best: 10.9 (LPT)
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661
Few-Shot Image ClassificationonCIFAR-10-LT (ρ=100)
Error Rate· 2023-05-15
11.5
best: 10.42 (GLMC+MaxNorm (ResNet-34, channel x4))
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions arXiv:2305.08661