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Models/FaMUS

FaMUS

Reported on 11 benchmarks across 1 task · 1 paper · 10 SOTA

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

Computer Vision11 results

Image ClassificationonRed MiniImageNet 20% label noise
Accuracy· 2021-04-30
51.42
best: 69 (NCR (ResNet-18))
SOTA
Faster Meta Update Strategy for Noise-Robust Deep Learning arXiv:2104.15092
Image ClassificationonRed MiniImageNet 60% label noise
Accuracy· 2021-04-30
45.1
best: 53.21 (InstanceGM-SS)
SOTA
Faster Meta Update Strategy for Noise-Robust Deep Learning arXiv:2104.15092
Image ClassificationonRed MiniImageNet 40% label noise
Accuracy· 2021-04-30
48.06
best: 64.6 (NCR (ResNet-18))
SOTA
Faster Meta Update Strategy for Noise-Robust Deep Learning arXiv:2104.15092
Image Classificationonmini WebVision 1.0
ImageNet Top-1 Accuracy· 2021-04-30
77
best: 82.56 (LRA-diffusion (CLIP ViT))
SOTA
Faster Meta Update Strategy for Noise-Robust Deep Learning arXiv:2104.15092
Image Classificationonmini WebVision 1.0
ImageNet Top-5 Accuracy· 2021-04-30
92.76
best: 97.24 (RTE (Inception-ResNet-v2))
SOTA
Faster Meta Update Strategy for Noise-Robust Deep Learning arXiv:2104.15092
Image Classificationonmini WebVision 1.0
Top-1 Accuracy· 2021-04-30
79.4
best: 84.16 (LRA-diffusion (CLIP ViT))
SOTA
Faster Meta Update Strategy for Noise-Robust Deep Learning arXiv:2104.15092
Image Classificationonmini WebVision 1.0
Top-5 Accuracy· 2021-04-30
92.8
best: 94.84 (PSSCL (130 epochs))
SOTA
Faster Meta Update Strategy for Noise-Robust Deep Learning arXiv:2104.15092
Image ClassificationonCIFAR-10, 40% Symmetric Noise
Percentage correct· 2021-04-30
95.37
SOTA
Faster Meta Update Strategy for Noise-Robust Deep Learning arXiv:2104.15092
Image ClassificationonRed MiniImageNet 80% label noise
Accuracy· 2021-04-30
35.5
best: 51.2 (NCR (ResNet-18))
SOTA
Faster Meta Update Strategy for Noise-Robust Deep Learning arXiv:2104.15092
Image ClassificationonCIFAR-100, 40% Symmetric Noise
Percentage correct· 2021-04-30
75.91
SOTA
Faster Meta Update Strategy for Noise-Robust Deep Learning arXiv:2104.15092
Image ClassificationonCIFAR-10, 60% Symmetric Noise
Percentage correct· 2021-04-30
26.42
best: 91.3 (MentorMix)
Faster Meta Update Strategy for Noise-Robust Deep Learning arXiv:2104.15092