SOTAVerified

Rotated MNIST

Papers

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Showing 1–41 of 41 papers

TitleStatusHype
PDO-eConvs: Partial Differential Operator Based Equivariant ConvolutionsCode1
Harmonic Networks: Deep Translation and Rotation EquivarianceCode1
Domain Generalization using Causal MatchingCode1
Efficient Domain Generalization via Common-Specific Low-Rank DecompositionCode1
Equivariance-bridged SO(2)-Invariant Representation Learning using Graph Convolutional NetworkCode1
Exploiting Redundancy: Separable Group Convolutional Networks on Lie GroupsCode1
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution LayersCode1
General E(2)-Equivariant Steerable CNNsCode1
Learning Partial Equivariances from DataCode1
DIVA: Domain Invariant Variational AutoencodersCode1
Visual Context-aware Convolution Filters for Transformation-invariant Neural Network—0
What's Inside Your Diffusion Model? A Score-Based Riemannian Metric to Explore the Data Manifold—0
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data—0
Deformable Classifiers—0
DIVA: Domain Invariant Variational Autoencoder—0
Diversity Boosted Learning for Domain Generalization with Large Number of Domains—0
Fast Inference in Capsule Networks Using Accumulated Routing Coefficients—0
GDO: Gradual Domain Osmosis—0
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration—0
Invariant Integration in Deep Convolutional Feature Space—0
Learning Augmentation Distributions using Transformed Risk Minimization—0
Learning Rotation Invariant Features for Cryogenic Electron Microscopy Image Reconstruction—0
Learning Steerable Filters for Rotation Equivariant CNNs—0
Local Group Invariant Representations via Orbit Embeddings—0
Progressive Conservative Adaptation for Evolving Target Domains—0
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