SOTAVerified

Rotated MNIST

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–41 of 41 papers

TitleStatusHype
Exploiting Redundancy: Separable Group Convolutional Networks on Lie GroupsCode1
Learning Partial Equivariances from DataCode1
Equivariance-bridged SO(2)-Invariant Representation Learning using Graph Convolutional NetworkCode1
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution LayersCode1
PDO-eConvs: Partial Differential Operator Based Equivariant ConvolutionsCode1
Domain Generalization using Causal MatchingCode1
Efficient Domain Generalization via Common-Specific Low-Rank DecompositionCode1
General E(2)-Equivariant Steerable CNNsCode1
DIVA: Domain Invariant Variational AutoencodersCode1
Harmonic Networks: Deep Translation and Rotation EquivarianceCode1
What's Inside Your Diffusion Model? A Score-Based Riemannian Metric to Explore the Data Manifold—0
GDO: Gradual Domain Osmosis—0
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel TheoryCode0
Unsupervised discovery of the shared and private geometry in multi-view data—0
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context EncodingCode0
Progressive Conservative Adaptation for Evolving Target Domains—0
Scale-Rotation-Equivariant Lie Group Convolution Neural Networks (Lie Group-CNNs)—0
Group Invariant Global Pooling—0
Artificial Neuronal Ensembles with Learned Context Dependent GatingCode0
Learning unfolded networks with a cyclic group structureCode0
Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal MomentsCode0
Diversity Boosted Learning for Domain Generalization with Large Number of Domains—0
Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge—0
Transform-Invariant Convolutional Neural Networks for Image Classification and Search—0
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration—0
Learning Augmentation Distributions using Transformed Risk Minimization—0
Learning Rotation Invariant Features for Cryogenic Electron Microscopy Image Reconstruction—0
Invariant Integration in Deep Convolutional Feature Space—0
VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video ProcessingCode0
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data—0
ICNN: INPUT-CONDITIONED FEATURE REPRESENTATION LEARNING FOR TRANSFORMATION-INVARIANT NEURAL NETWORK—0
Visual Context-aware Convolution Filters for Transformation-invariant Neural Network—0
Fast Inference in Capsule Networks Using Accumulated Routing Coefficients—0
DIVA: Domain Invariant Variational Autoencoder—0
CapsGAN: Using Dynamic Routing for Generative Adversarial NetworksCode0
Deformable Classifiers—0
Learning Steerable Filters for Rotation Equivariant CNNs—0
Polar Transformer NetworksCode0
Deep Rotation Equivariant NetworkCode0
Local Group Invariant Representations via Orbit Embeddings—0
Group Equivariant Convolutional NetworksCode0
Show:102550

Benchmark Results

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