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Image Classification (CNN)

image classification and convolutional neural networks

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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Last modified 1yr ago