Image Classification On Kuzushiji Mnist

评估指标

Accuracy

Error

评测结果

各个模型在此基准测试上的表现结果

			Paper Title	Repository
KMNIST-Tiny	99.35	-	Efficient Global Neural Architecture Search	-
KMNIST-Mobile	99.29	-	Efficient Global Neural Architecture Search	-
VGG-5 (Spinal FC)	99.15	0.85	SpinalNet: Deep Neural Network with Gradual Input
CAMNet3	99.05	0.95	Context-Aware Multipath Networks	-
VGG8B(2x) + LocalLearning + CO	99.01	0.99	Training Neural Networks with Local Error Signals
CN(d=32)	98.84	-	Toward Understanding Supervised Representation Learning with RKHS and GAN	-
NSRL (log D) (d=16)	98.81	-	Toward Understanding Supervised Representation Learning with RKHS and GAN	-
CN(d=16)	98.80	-	Toward Understanding Supervised Representation Learning with RKHS and GAN	-
Resnet-152	98.79	-	A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis	-
R-ExplaiNet-26	98.78	1.22	Learning local discrete features in explainable-by-design convolutional neural networks
ResNet-14	98.75	-	CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters
NSRL (WGAN) (d=32)	98.72	-	Toward Understanding Supervised Representation Learning with RKHS and GAN	-
NSRL (WGAN) (d=8)	98.68	-	Toward Understanding Supervised Representation Learning with RKHS and GAN	-
NSRL (WGAN) (d=16)	98.66	-	Toward Understanding Supervised Representation Learning with RKHS and GAN	-
NSRL (log D) (d=32)	98.63	-	Toward Understanding Supervised Representation Learning with RKHS and GAN	-
NSRL (log D) (d=8)	98.61	-	Toward Understanding Supervised Representation Learning with RKHS and GAN	-
CN(d=8)	98.60	-	Toward Understanding Supervised Representation Learning with RKHS and GAN	-
Efficient Capsnet	98.43	-	Improved efficient capsule network for Kuzushiji-MNIST benchmark dataset classification	-
PreActResNet-18 + Input Mixup	98.41	-	mixup: Beyond Empirical Risk Minimization
PreActResNet-18	97.82	-	Identity Mappings in Deep Residual Networks

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