SOTAVerified

Rotated MNIST

Papers

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Showing 26–41 of 41 papers

TitleStatusHype
Scale-Rotation-Equivariant Lie Group Convolution Neural Networks (Lie Group-CNNs)—0
Transform-Invariant Convolutional Neural Networks for Image Classification and Search—0
Unsupervised discovery of the shared and private geometry in multi-view data—0
Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge—0
Group Invariant Global Pooling—0
ICNN: INPUT-CONDITIONED FEATURE REPRESENTATION LEARNING FOR TRANSFORMATION-INVARIANT NEURAL NETWORK—0
Deep Rotation Equivariant NetworkCode0
Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal MomentsCode0
Group Equivariant Convolutional NetworksCode0
Polar Transformer NetworksCode0
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context EncodingCode0
VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video ProcessingCode0
Learning unfolded networks with a cyclic group structureCode0
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel TheoryCode0
Artificial Neuronal Ensembles with Learned Context Dependent GatingCode0
CapsGAN: Using Dynamic Routing for Generative Adversarial NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Steerable Filter CNNTest error0.71—Unverified
2E2FCNN (D16 |5 C16)Test error0.68—Unverified
3Sim2-CNNTest error0.59—Unverified