Rotated MNIST
18 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Rotated MNIST
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MNIST
Latest papers
General E(2)-Equivariant Steerable CNNs
QUVA-Lab/e2cnn
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NeurIPS 2019
Here we give a general description of E(2)-equivariant convolutions in the framework of Steerable CNNs.
DIVA: Domain Invariant Variational Autoencoders
We consider the problem of domain generalization, namely, how to learn representations given data from a set of domains that generalize to data from a previously unseen domain.
CapsGAN: Using Dynamic Routing for Generative Adversarial Networks
We show that CapsGAN performs better than or equal to traditional CNN based GANs in generating images with high geometric transformations using rotated MNIST.
Polar Transformer Networks
daniilidis-group/polar-transformer-networks
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ICLR 2018
The result is a network invariant to translation and equivariant to both rotation and scale.
Deep Rotation Equivariant Network
microljy/DREN
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Recently, learning equivariant representations has attracted considerable research attention.
Harmonic Networks: Deep Translation and Rotation Equivariance
deworrall92/harmonicConvolutions
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CVPR 2017
This is not the case for rotations.
Group Equivariant Convolutional Networks
adambielski/pytorch-gconv-experiments
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We introduce Group equivariant Convolutional Neural Networks (G-CNNs), a natural generalization of convolutional neural networks that reduces sample complexity by exploiting symmetries.
