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Tzu-Heng's wiki
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  • Machine Learning
    • Traditionals
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    • Image Classification (CNN)
    • Detection
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  • Notes
    • Differientiable Sampling and Argmax
    • GAN theory
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    • Disentanglement in GANs
    • CNN practical notes
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  • Data Structure & Algorithms
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  • Survey Papers / Repos
  • Resources
  • Models
  • Convolutions ([vdumoulin/conv_arithmetic] [1603.07285])
  • Architectures
  • Loss
  • Augmentation
  • Others
  • Dataset
  • Tricks
  • Task

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  1. Machine Learning

Image Classification (CNN)

image classification and convolutional neural networks

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Last updated 3 years ago

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Survey Papers / Repos

  • Recent Advances in Convolutional Neural Networks

Resources

  • : official pytorch toolkit for vision

  • : lots of pretrained models in pytorch

  • : lots of augmentation implementations

  • : lots of augmentation implementations

Models

Convolutions ( )

  • Vanilla Convolution

  • 1x1 Convolution

  • Transpose Convolution

  • Dilated Convolution

  • Deformable Convolution

Architectures

  • LeNet

  • AlexNet

Loss

  • Cross Entropy Loss

  • Focal Loss

Augmentation

  • Conventional: Random Crop, ...

Others

Dataset

Tricks

  • Pseudo Labeling

Task

  • Vanilla Image Classification

  • Few-shot Image Classification

  • Zero-shot Image Classification

VGG

GoogLeNet (Inception v1)

Inception v2, Inception v3

ResNet

Inception v4, Inception ResNet

SqueezeNet

WideResNet

DenseNet

ResNeXt

MobileNet

NASNet

SE-ResNet

Res2Net

EfficientNet

HRNet

Cutout

AutoAugment

Fast AutoAugment

RandAugment

Mixup

Data Distillation

[1512.07108]
weiaicunzai/awesome-image-classification
CS231n: Convolutional Neural Networks for Visual Recognition
torchvision
Cadene/pretrained-models.pytorch
albumentations-team/albumentations
aleju/imgaug
[vdumoulin/conv_arithmetic]
[1603.07285]
[1312.4400]
[1411.4038]
[1511.07122]
[1703.06211]
[1409.1556]
[1409.4842]
[1512.005677]
[1512.03385]
[1602.07261]
[1602.07360]
[1605.07146]
[1608.06993]
[1611.05431]
[1704.04861]
[1707.07012]
[1709.01507]
[1904.01169]
[1905.11946]
[1908.07919]
[1708.04552]
[1805.09501]
[1905.00397]
[1909.13719]
MNIST
Fashion-MNIST
CIFAR
ImageNet
Open Images Dataset
[1710.09412]
[1712.04440]