ylecun/mnist
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Image Models - Essential Research Papers
Note Simplest Image Dataset - 10 Objects of size 28 Pixels
uoft-cs/cifar10
Viewer • Updated • 60k • 90.7k • 95Note Simplest Image Dataset - 10 categories with image size 32 Pixels
CINIC-10 is not ImageNet or CIFAR-10
Paper • 1810.03505 • PublishedNote Intermediate Image Dataset - 10 categories with image size 32 Pixels
ImageNet Large Scale Visual Recognition Challenge
Paper • 1409.0575 • Published • 9Note Complex Image Dataset - 1000 categories with image size 256 pixels
Very Deep Convolutional Networks for Large-Scale Image Recognition
Paper • 1409.1556 • Published • 2Note Successful Architectures for ImageNet => VGG Architecture
Going Deeper with Convolutions
Paper • 1409.4842 • Published • 2Note Successful Architectures for ImageNet => Inception Architecture
Deep Residual Learning for Image Recognition
Paper • 1512.03385 • Published • 12Note Successful Architectures for ImageNet => ResNet Architecture
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures
Paper • 1608.06037 • Published • 1Note Successful Architectures for ImageNet => SimpleNet Architecture
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benjamin-paine/imagenet-1k
Viewer • Updated • 1.43M • 836 • 9