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SOTA
序列图像分类
Sequential Image Classification On Noise
Sequential Image Classification On Noise
评估指标
% Test Accuracy
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
% Test Accuracy
Paper Title
Repository
FlexTCN-6
69.87%
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes
UnICORNN
62.4
UnICORNN: A recurrent model for learning very long time dependencies
LEM
60.5
Long Expressive Memory for Sequence Modeling
coRNN
59.0
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies
Lipschitz RNN
59.0
Lipschitz Recurrent Neural Networks
AntisymmetricRNN w/ gating
54.7
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
LSTM
11.6
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
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Sequential Image Classification On Noise | SOTA | HyperAI超神经