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序列图像分类
Sequential Image Classification On Sequential 1
Sequential Image Classification On Sequential 1
评估指标
Unpermuted 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
Unpermuted Accuracy
Paper Title
Repository
MultiresConv
93.15%
Sequence Modeling with Multiresolution Convolutional Memory
S4
91.80%
Efficiently Modeling Long Sequences with Structured State Spaces
LRU
89.0
Resurrecting Recurrent Neural Networks for Long Sequences
SMPConv
84.86%
SMPConv: Self-moving Point Representations for Continuous Convolution
LSSL
84.65%
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers
FlexTCN-6
80.82%
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes
UR-GRU
74.4%
Improving the Gating Mechanism of Recurrent Neural Networks
Trellis Network
73.42%
Trellis Networks for Sequence Modeling
Sparse Combo Net
65.72
RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks
LipschitzRNN
64.2
Lipschitz Recurrent Neural Networks
CKCNN (1M)
63.74%
CKConv: Continuous Kernel Convolution For Sequential Data
CKCNN (100k)
62.25%
CKConv: Continuous Kernel Convolution For Sequential Data
Transformer (self-attention) (Trinh et al., 2018)
62.2%
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
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