Awesome - Image Classification
A curated list of deep learning image classification papers and codes
This page lists names, links and short descriptions. The original list on GitHub is the source and belongs to its authors.
Papers&Codes >VGG
code: torchvision :
PyTorch's official computer vision library with 50+ pre-trained model architectures including ResNet, EfficientNet, Vision Transformers (ViT), ConvNeXt, and more. The de facto standard model zoo for PyTorch computer vision. BSD-3-Clause licensed.
code: keras-applications :
Very Deep Convolutional Networks for Large-Scale Image Recognition.
Papers&Codes >GoogleNet
Papers&Codes >PReLU-nets
Papers&Codes >ResNet
code: torchvision :
PyTorch's official computer vision library with 50+ pre-trained model architectures including ResNet, EfficientNet, Vision Transformers (ViT), ConvNeXt, and more. The de facto standard model zoo for PyTorch computer vision. BSD-3-Clause licensed.
code: keras-applications :
Very Deep Convolutional Networks for Large-Scale Image Recognition.
Papers&Codes >PreActResNet
Papers&Codes >Inceptionv3
code: torchvision :
PyTorch's official computer vision library with 50+ pre-trained model architectures including ResNet, EfficientNet, Vision Transformers (ViT), ConvNeXt, and more. The de facto standard model zoo for PyTorch computer vision. BSD-3-Clause licensed.
code: keras-applications :
Very Deep Convolutional Networks for Large-Scale Image Recognition.
Papers&Codes >Inceptionv4 && Inception-ResNetv2
Papers&Codes >RiR
Papers&Codes >Stochastic Depth ResNet
Papers&Codes >WRN
code: unofficial-pytorch :
WideResNets for CIFAR10/100 implemented in PyTorch. This implementation requires less GPU memory than what is required by the official Torch implementation: https://github.com/szagoruyko/wide-residual-networks .
Papers&Codes >SqueezeNet
code: torchvision :
PyTorch's official computer vision library with 50+ pre-trained model architectures including ResNet, EfficientNet, Vision Transformers (ViT), ConvNeXt, and more. The de facto standard model zoo for PyTorch computer vision. BSD-3-Clause licensed.
Papers&Codes >GeNet
Papers&Codes >MetaQNN
Papers&Codes >PyramidNet
code: unofficial-pytorch :
A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, arxiv.org/abs/1610.02915)
Papers&Codes >DenseNet
code: unofficial-pytorch :
This is a PyTorch implementation of the DenseNet-BC architecture as described in the paper Densely Connected Convolutional Networks by G. Huang, Z. Liu, K. Weinberger, and L. van der Maaten. This implementation gets a CIFAR-10+ error rate of 4.77 with a 100-layer DenseNet-BC with a growth rate of…
Papers&Codes >FractalNet
Papers&Codes >ResNext
code: keras-applications :
Very Deep Convolutional Networks for Large-Scale Image Recognition.
code: unofficial-pytorch :
Reproduces ResNet-V3 (Aggregated Residual Transformations for Deep Neural Networks) with pytorch.
Papers&Codes >IGCV1
Papers&Codes >Residual Attention Network
Papers&Codes >Xception
code: keras-applications :
Very Deep Convolutional Networks for Large-Scale Image Recognition.
Papers&Codes >MobileNet
code: unofficial-caffe :
Caffe Implementation of Google's MobileNets
code: keras-applications :
Very Deep Convolutional Networks for Large-Scale Image Recognition.
Papers&Codes >PolyNet
Papers&Codes >DPN
Papers&Codes >Block-QNN
Papers&Codes >CRU-Net
DLA
DLA >ShuffleNet
DLA >CondenseNet
code: official :
CondenseNet: An Efficient DenseNet using Learned Group Convolutions.
DLA >NasNet
code: keras-applications :
Very Deep Convolutional Networks for Large-Scale Image Recognition.
DLA >MobileNetV2
DLA >IGCV2
DLA >hier
DLA >PNasNet
code: tensorflow-slim :
Official TensorFlow repository of state-of-the-art (SOTA) models and modeling solutions. Contains reference implementations for BERT, ResNet, Transformer, and many more with pre-trained weights and training scripts. Apache 2.0 licensed.
code: unofficial-pytorch :
PyTorch implementation of PNASNet-5 on ImageNet.
DLA >AmoebaNet
DLA >SENet
DLA >ShuffleNetV2
DLA >CBAM
DLA >IGCV3
DLA >BAM
DLA >MNasNet
DLA >SKNet
DLA >DARTS
DLA >ProxylessNAS
DLA >MobileNetV3
DLA >Res2Net
DLA >LIP-ResNet
DLA >EfficientNet
code: unofficial-pytorch :
It contains an op-for-op PyTorch reimplementation of EfficientNet, along with pre-trained models and examples.
DLA >FixResNeXt
DLA >BiT
code: official-tensorflow:
Implementation of Big Transfer (BiT): General Visual Representation Learning.
DLA >PSConv + ResNext101
DLA >NoisyStudent
DLA >RegNet
DLA >GhostNet
DLA >ViT
pdf:
(ICLR'2021)
code: official-tensorflow:
Official implementation of An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
DLA >DeiT
DLA >PVT
DLA >T2T
DLA >DeepVit
DLA >ViL
DLA >TNT
DLA >CvT
DLA >CViT
DLA >Focal-T
DLA >Twins
DLA >PVTv2
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