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SotA/Medical/Document Text Classification

Document Text Classification

31 benchmarks6 papers

Benchmarks

Document Text Classification on CIFAR-10N-Aggregate

Accuracy (mean)

Document Text Classification on CIFAR-10N-Worst

Accuracy (mean)

Document Text Classification on CIFAR-100N

Accuracy (mean)

Document Text Classification on CIFAR-10N-Random1

Accuracy (mean)

Document Text Classification on CIFAR-10N-Random2

Accuracy (mean)

Document Text Classification on CIFAR-10N-Random3

Accuracy (mean)

Document Text Classification on ANIMAL

Accuracy Network ImageNet Pretrained

Document Text Classification on Clothing1M

Document Text Classification on Red MiniImageNet 20% label noise

Document Text Classification on Red MiniImageNet 40% label noise

Document Text Classification on Red MiniImageNet 80% label noise

Document Text Classification on Food-101

Accuracy (% )Accuracy (%)

Document Text Classification on Red MiniImageNet 60% label noise

Document Text Classification on Tobacco small-3482

Accuracy Training time (min)

Document Text Classification on Tobacco-3482

Accuracy Training time (hours)

Document Text Classification on CIFAR-10

Document Text Classification on CIFAR-100

Document Text Classification on CIFAR-10N

Document Text Classification on COCO-WAN

Document Text Classification on CUB-200-2011

Document Text Classification on Chaoyang

Document Text Classification on Clothing1M (using clean data)

Document Text Classification on MIMIC-III

Document Text Classification on MIMIC-III

Document Text Classification on Persian Twitter

Document Text Classification on mini WebVision 1.0