SOTAVerified

Rotated MNIST

Papers

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Showing 26–41 of 41 papers

TitleStatusHype
Invariant Integration in Deep Convolutional Feature Space—0
Learning Augmentation Distributions using Transformed Risk Minimization—0
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data—0
Transform-Invariant Convolutional Neural Networks for Image Classification and Search—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
Unsupervised discovery of the shared and private geometry in multi-view data—0
What's Inside Your Diffusion Model? A Score-Based Riemannian Metric to Explore the Data Manifold—0
Visual Context-aware Convolution Filters for Transformation-invariant Neural Network—0
Progressive Conservative Adaptation for Evolving Target Domains—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
DIVA: Domain Invariant Variational Autoencoder—0
Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge—0
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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