Survey Papers / Repos

• Recent Advances in Convolutional Neural Networks [1512.07108]​

• ​weiaicunzai/awesome-image-classification​

Resources

• ​CS231n: Convolutional Neural Networks for Visual Recognition​

• ​torchvision: official pytorch toolkit for vision

• ​Cadene/pretrained-models.pytorch: lots of pretrained models in pytorch

• ​albumentations-team/albumentations: lots of augmentation implementations

• ​aleju/imgaug: lots of augmentation implementations

Models

Convolutions ([vdumoulin/conv_arithmetic] [1603.07285])

• Vanilla Convolution

• 1x1 Convolution [1312.4400]​

• Transpose Convolution [1411.4038]​

• Dilated Convolution [1511.07122]​

• Deformable Convolution [1703.06211]​

Architectures

• LeNet

• AlexNet

• VGG [1409.1556]​

• GoogLeNet (Inception v1) [1409.4842]​

• Inception v2, Inception v3 [1512.005677]​

• ResNet [1512.03385]​

• Inception v4, Inception ResNet [1602.07261]​

• SqueezeNet [1602.07360]​

• WideResNet [1605.07146]​

• DenseNet [1608.06993]​

• ResNeXt [1611.05431]​

• MobileNet [1704.04861]​

• NASNet [1707.07012]​

• SE-ResNet [1709.01507]​

• Res2Net [1904.01169]​

• EfficientNet [1905.11946]​

• HRNet [1908.07919]​

Loss

• Cross Entropy Loss

• Focal Loss

Augmentation

• Conventional: Random Crop, ...

• Cutout [1708.04552]​

• AutoAugment [1805.09501]​

• Fast AutoAugment [1905.00397]​

• RandAugment [1909.13719]​

Others

Dataset

• ​MNIST​

• ​Fashion-MNIST​

• ​CIFAR​

• ​ImageNet​

• ​Open Images Dataset​

Tricks

• Mixup [1710.09412]​

• Pseudo Labeling

• Data Distillation [1712.04440]​

Task

• Vanilla Image Classification

• Few-shot Image Classification

• Zero-shot Image Classification

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