Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions

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Benchmark Model Rank Results
long-tail-learning-on-cifar-10-lt-r-10GLMC+MaxNorm (ResNet-34, channel x4)#1Error Rate: 5
long-tail-learning-on-cifar-10-lt-r-10GLMC (ResNet-34, channel x4)#3Error Rate: 5.15
long-tail-learning-on-cifar-10-lt-r-100GLMC+MaxNorm (ResNet-34, channel x4)#1Error Rate: 10.42
long-tail-learning-on-cifar-10-lt-r-100GLMC (ResNet-34, channel x4)#4Error Rate: 11.50
long-tail-learning-on-cifar-100-lt-r-10GLMC+MaxNorm (ResNet-32, channel x4)#5Error Rate: 25.72
long-tail-learning-on-cifar-100-lt-r-10GLMC (ResNet-34, channel x4)#6Error Rate: 26.53
long-tail-learning-on-cifar-100-lt-r-100GLMC+MaxNorm (ResNet-34, channel x4)#7Error Rate: 41.59
long-tail-learning-on-cifar-100-lt-r-100GLMC (ResNet-34, channel x4)#8Error Rate: 42.01
long-tail-learning-on-cifar-100-lt-r-50GLMC (ResNet-34, channel x4)#6Error Rate: 36.15
long-tail-learning-on-imagenet-ltGLMC (ResNeXt-50)#33Top-1 Accuracy: 56.3

Rank counts only results with a code link.