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Models/ResNeXt-50-32x4d

ResNeXt-50-32x4d

Reported on 11 benchmarks across 3 tasks · 2 papers · 2 SOTA

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

Methodology4 results

ClassificationonNCT-CRC-HE-100K
Accuracy (%)· 2021-10-01
95.46
best: 95.59 (Efficientnet-b0)
ResNet strikes back: An improved training procedure in timm arXiv:2110.00476
ClassificationonNCT-CRC-HE-100K
F1-Score· 2021-10-01
97.46
best: 97.48 (Efficientnet-b0)
ResNet strikes back: An improved training procedure in timm arXiv:2110.00476
ClassificationonNCT-CRC-HE-100K
Precision· 2021-10-01
99.91
best: 100 (ResNet-50)
ResNet strikes back: An improved training procedure in timm arXiv:2110.00476
ClassificationonNCT-CRC-HE-100K
Specificity· 2021-10-01
99.43
best: 99.45 (Efficientnet-b0)
ResNet strikes back: An improved training procedure in timm arXiv:2110.00476

Medical4 results

Medical Image ClassificationonNCT-CRC-HE-100K
Accuracy (%)· 2021-10-01
95.46
best: 95.59 (Efficientnet-b0)
ResNet strikes back: An improved training procedure in timm arXiv:2110.00476
Medical Image ClassificationonNCT-CRC-HE-100K
F1-Score· 2021-10-01
97.46
best: 97.48 (Efficientnet-b0)
ResNet strikes back: An improved training procedure in timm arXiv:2110.00476
Medical Image ClassificationonNCT-CRC-HE-100K
Precision· 2021-10-01
99.91
best: 100 (ResNet-50)
ResNet strikes back: An improved training procedure in timm arXiv:2110.00476
Medical Image ClassificationonNCT-CRC-HE-100K
Specificity· 2021-10-01
99.43
best: 99.45 (Efficientnet-b0)
ResNet strikes back: An improved training procedure in timm arXiv:2110.00476

Computer Vision3 results

Image ClassificationonGasHisSDB
Accuracy· 2016-11-16
98.59
best: 98.74 (CoAtNet-1)
SOTA
Aggregated Residual Transformations for Deep Neural Networks arXiv:1611.05431
Image ClassificationonGasHisSDB
F1-Score· 2016-11-16
99.25
best: 99.38 (CoAtNet-1)
SOTA
Aggregated Residual Transformations for Deep Neural Networks arXiv:1611.05431
Image ClassificationonGasHisSDB
Precision· 2016-11-16
99.94
best: 99.97 (CoAtNet-1)
Aggregated Residual Transformations for Deep Neural Networks arXiv:1611.05431