Background

• deep_learning_object_detection
• here

DLA

AmoebaNet

• https://arxiv.org/abs/1802.01548
• tensorflow-tpu : https://github.com/tensorflow/tpu/tree/master/models/official/amoeba_net

BAM

• https://arxiv.org/abs/1807.06514
• official-pytorch : https://github.com/Jongchan/attention-module
• unofficial-tensorflow : https://github.com/huyz1117/BAM

BiT

• https://arxiv.org/abs/1912.11370
• official-tensorflow: https://github.com/google-research/big_transfer

CBAM

• https://arxiv.org/abs/1807.06521
• unofficial-pytorch : https://github.com/luuuyi/CBAM.PyTorch
• unofficial-pytorch : https://github.com/elbuco1/CBAM
• unofficial-keras : https://github.com/kobiso/CBAM-keras

CondenseNet

• https://arxiv.org/abs/1711.09224
• official : https://github.com/ShichenLiu/CondenseNet
• unofficial-tensorflow : https://github.com/markdtw/condensenet-tensorflow

CRU-Net

• https://arxiv.org/abs/1707.06484
• official-pytorch: https://github.com/ucbdrive/dla

CViT

• https://arxiv.org/abs/2103.14899
• https://github.com/IBM/CrossViT

CvT

• https://arxiv.org/abs/2103.15808
• https://github.com/microsoft/CvT

DARTS

• https://arxiv.org/abs/1806.09055
• official : https://github.com/quark0/darts
• unofficial-pytorch : https://github.com/khanrc/pt.darts
• unofficial-tensorflow : https://github.com/NeroLoh/darts-tensorflow

DeepVit

• https://arxiv.org/abs/2103.11886
• official-pytorch: https://github.com/zhoudaquan/dvit_repo

DeiT

• https://arxiv.org/abs/2012.12877
• official-pytorch: https://github.com/facebookresearch/deit

EfficientNet

• https://arxiv.org/abs/1905.11946
• official-tensorflow : https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
• unofficial-pytorch : https://github.com/lukemelas/EfficientNet-PyTorch

FixResNeXt

• https://arxiv.org/abs/1906.06423
• official-pytorch : https://github.com/facebookresearch/FixRes

Focal-T

• https://arxiv.org/abs/2107.00641
• https://github.com/microsoft/Focal-Transformer

GhostNet

• https://arxiv.org/abs/1911.11907

hier

• https://arxiv.org/abs/1711.00436

IGCV2

• https://arxiv.org/abs/1804.06202

IGCV3

• https://arxiv.org/abs/1806.00178
• official : https://github.com/homles11/IGCV3
• unofficial-pytorch : https://github.com/xxradon/IGCV3-pytorch
• unofficial-tensorflow : https://github.com/ZHANG-SHI-CHANG/IGCV3

LIP-ResNet

• https://arxiv.org/abs/1908.04156
• official-pytorch : https://github.com/sebgao/LIP

MNasNet

• https://arxiv.org/abs/1807.11626
• unofficial-pytorch : https://github.com/AnjieZheng/MnasNet-PyTorch
• unofficial-caffe : https://github.com/LiJianfei06/MnasNet-caffe
• unofficial-MxNet : https://github.com/chinakook/Mnasnet.MXNet
• unofficial-keras : https://github.com/Shathe/MNasNet-Keras-Tensorflow

MobileNetV2

• https://arxiv.org/abs/1801.04381
• unofficial-keras : https://github.com/xiaochus/MobileNetV2
• unofficial-pytorch : https://github.com/Randl/MobileNetV2-pytorch
• unofficial-tensorflow : https://github.com/neuleaf/MobileNetV2

MobileNetV3

• https://arxiv.org/abs/1905.02244
• unofficial-pytorch : https://github.com/xiaolai-sqlai/mobilenetv3
• unofficial-pytorch : https://github.com/kuan-wang/pytorch-mobilenet-v3
• unofficial-pytorch : https://github.com/leaderj1001/MobileNetV3-Pytorch
• unofficial-pytorch : https://github.com/d-li14/mobilenetv3.pytorch
• unofficial-caffe : https://github.com/jixing0415/caffe-mobilenet-v3
• unofficial-keras : https://github.com/xiaochus/MobileNetV3

NasNet

• https://arxiv.org/abs/1707.07012
• keras-applications : https://github.com/keras-team/keras-applications/blob/master/keras_applications/nasnet.py
• unofficial-keras : https://github.com/titu1994/Keras-NASNet
• unofficial-pytorch : https://github.com/wandering007/nasnet-pytorch
• unofficial-tensorflow : https://github.com/yeephycho/nasnet-tensorflow

NoisyStudent

• https://arxiv.org/abs/1911.04252
• official-tensorflow: https://github.com/google-research/noisystudent
• unofficial-pytorch: https://github.com/sally20921/NoisyStudent

PNasNet

• https://arxiv.org/abs/1712.00559
• tensorflow-slim : https://github.com/tensorflow/models/blob/master/research/slim/nets/nasnet/pnasnet.py
• unofficial-pytorch : https://github.com/chenxi116/PNASNet.pytorch
• unofficial-tensorflow : https://github.com/chenxi116/PNASNet.TF

ProxylessNAS

• https://arxiv.org/abs/1812.00332
• official : https://github.com/mit-han-lab/ProxylessNAS

PSConv + ResNext101

• https://arxiv.org/abs/2007.06191
• https://github.com/d-li14/PSConv

PVT

• https://arxiv.org/abs/2102.12122

PVTv2

• https://arxiv.org/abs/2106.13797
• official-pytorch: https://github.com/whai362/PVT

RegNet

• https://arxiv.org/abs/2003.13678
• official-pytorch: https://github.com/facebookresearch/pycls
• unofficial-pytorch: https://github.com/d-li14/regnet.pytorch

Res2Net

• https://arxiv.org/abs/1904.01169
• official-pytorch : https://github.com/Res2Net
• unofficial-pytorch : https://github.com/4uiiurz1/pytorch-res2net
• unofficial-keras : https://github.com/fupiao1998/res2net-keras

SENet

• https://arxiv.org/abs/1709.01507
• official : https://github.com/hujie-frank/SENet
• unofficial-pytorch : https://github.com/moskomule/senet.pytorch
• unofficial-tensorflow : https://github.com/taki0112/SENet-Tensorflow
• unofficial-caffe : https://github.com/shicai/SENet-Caffe
• unofficial-mxnet : https://github.com/bruinxiong/SENet.mxnet

ShuffleNet

• https://arxiv.org/abs/1707.01083
• unofficial-tensorflow : https://github.com/MG2033/ShuffleNet
• unofficial-pytorch : https://github.com/jaxony/ShuffleNet
• unofficial-caffe : https://github.com/farmingyard/ShuffleNet
• unofficial-keras : https://github.com/scheckmedia/keras-shufflenet

ShuffleNetV2

• https://arxiv.org/abs/1807.11164
• unofficial-pytorch : https://github.com/Randl/ShuffleNetV2-pytorch
• unofficial-keras : https://github.com/opconty/keras-shufflenetV2
• unofficial-caff2: https://github.com/wolegechu/ShuffleNetV2.Caffe2

SKNet

• https://arxiv.org/abs/1903.06586
• official : https://github.com/implus/SKNet

T2T

• https://arxiv.org/abs/2101.11986
• official-pytorch: https://github.com/yitu-opensource/T2T-ViT

TNT

• https://arxiv.org/abs/2103.00112
• https://github.com/huawei-noah/CV-Backbones

Twins

• https://arxiv.org/abs/2104.13840
• https://git.io/Twins

ViL

• https://arxiv.org/abs/2103.15358
• official-pytorch: https://github.com/microsoft/vision-longformer

ViT

• https://arxiv.org/abs/2010.11929
• official-tensorflow: https://github.com/google-research/vision_transformer
• unofficial-pytorch: https://github.com/jeonsworld/ViT-pytorch

Papers&Codes

Block-QNN

• https://arxiv.org/abs/1708.05552

CRU-Net

• https://arxiv.org/abs/1703.02180
• official : https://github.com/cypw/CRU-Net
• unofficial-mxnet : https://github.com/bruinxiong/Modified-CRUNet-and-Residual-Attention-Network.mxnet

DenseNet

• https://arxiv.org/abs/1608.06993
• official : https://github.com/liuzhuang13/DenseNet
• unofficial-keras : https://github.com/titu1994/DenseNet
• unofficial-caffe : https://github.com/shicai/DenseNet-Caffe
• unofficial-pytorch : https://github.com/YixuanLi/densenet-tensorflow
• unofficial-pytorch : https://github.com/bamos/densenet.pytorch
• unofficial-keras : https://github.com/flyyufelix/DenseNet-Keras

DPN

• https://arxiv.org/abs/1707.01629
• official : https://github.com/cypw/DPNs
• unoffical-keras : https://github.com/titu1994/Keras-DualPathNetworks
• unofficial-pytorch : https://github.com/oyam/pytorch-DPNs
• unofficial-pytorch : https://github.com/rwightman/pytorch-dpn-pretrained

FractalNet

• https://arxiv.org/abs/1605.07648
• unofficial-caffe : https://github.com/gustavla/fractalnet
• unofficial-keras : https://github.com/snf/keras-fractalnet
• unofficial-tensorflow : https://github.com/tensorpro/FractalNet

GeNet

• https://arxiv.org/abs/1703.01513
• unofficial-tensorflow : https://github.com/aqibsaeed/Genetic-CNN

GoogleNet

• https://arxiv.org/abs/1409.4842
• unofficial-tensorflow : https://github.com/conan7882/GoogLeNet-Inception
• unofficial-caffe : https://github.com/lim0606/caffe-googlenet-bn

IGCV1

• https://arxiv.org/abs/1707.02725
• official : https://github.com/hellozting/InterleavedGroupConvolutions

Inceptionv3

• https://arxiv.org/abs/1512.00567
• torchvision : https://github.com/pytorch/vision/blob/master/torchvision/models/inception.py
• keras-applications : https://github.com/keras-team/keras-applications/blob/master/keras_applications/inception_v3.py

Inceptionv4 && Inception-ResNetv2

• https://arxiv.org/abs/1602.07261
• unofficial-keras : https://github.com/kentsommer/keras-inceptionV4
• unofficial-keras : https://github.com/titu1994/Inception-v4
• unofficial-keras : https://github.com/yuyang-huang/keras-inception-resnet-v2

MetaQNN

• https://arxiv.org/abs/1611.02167
• official : https://github.com/bowenbaker/metaqnn

MobileNet

• https://arxiv.org/abs/1704.04861
• keras-applications : https://github.com/keras-team/keras-applications/blob/master/keras_applications/mobilenet.py
• unofficial-tensorflow : https://github.com/Zehaos/MobileNet
• unofficial-caffe : https://github.com/shicai/MobileNet-Caffe
• unofficial-pytorch : https://github.com/marvis/pytorch-mobilenet

PolyNet

• https://arxiv.org/abs/1611.05725
• official : https://github.com/open-mmlab/polynet

PreActResNet

• https://arxiv.org/abs/1603.05027
• facebook-torch : https://github.com/facebook/fb.resnet.torch/blob/master/models/preresnet.lua
• unoffical-pytorch : https://github.com/kuangliu/pytorch-cifar/blob/master/models/preact_resnet.py
• official : https://github.com/KaimingHe/resnet-1k-layers
• unoffical-mxnet : https://github.com/tornadomeet/ResNet

PReLU-nets

• https://arxiv.org/abs/1502.01852
• unofficial-chainer : https://github.com/nutszebra/prelu_net

PyramidNet

• https://arxiv.org/abs/1610.02915
• official : https://github.com/jhkim89/PyramidNet
• unofficial-pytorch : https://github.com/dyhan0920/PyramidNet-PyTorch

Residual Attention Network

• https://arxiv.org/abs/1704.06904
• official : https://github.com/fwang91/residual-attention-network
• unofficial-pytorch : https://github.com/tengshaofeng/ResidualAttentionNetwork-pytorch
• unofficial-gluon : https://github.com/PistonY/ResidualAttentionNetwork
• unofficial-keras : https://github.com/koichiro11/residual-attention-network

ResNet

• https://arxiv.org/abs/1512.03385
• torchvision : https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py
• keras-applications : https://github.com/keras-team/keras-applications/blob/master/keras_applications/resnet.py
• unofficial-keras : https://github.com/raghakot/keras-resnet
• unofficial-tensorflow : https://github.com/ry/tensorflow-resnet
• facebook-torch : https://github.com/facebook/fb.resnet.torch

ResNext

• https://arxiv.org/abs/1611.05431
• keras-applications : https://github.com/keras-team/keras-applications/blob/master/keras_applications/resnext.py
• official : https://github.com/facebookresearch/ResNeXt
• unofficial-pytorch : https://github.com/prlz77/ResNeXt.pytorch
• unofficial-keras : https://github.com/titu1994/Keras-ResNeXt
• unofficial-tensorflow : https://github.com/taki0112/ResNeXt-Tensorflow
• unofficial-tensorflow : https://github.com/wenxinxu/ResNeXt-in-tensorflow

RiR

• https://arxiv.org/abs/1603.08029
• unofficial-tensorflow : https://github.com/SunnerLi/RiR-Tensorflow
• unofficial-chainer : https://github.com/nutszebra/resnet_in_resnet

SqueezeNet

• https://arxiv.org/abs/1602.07360
• torchvision : https://github.com/pytorch/vision/blob/master/torchvision/models/squeezenet.py
• unofficial-caffe : https://github.com/DeepScale/SqueezeNet
• unofficial-keras : https://github.com/rcmalli/keras-squeezenet
• unofficial-caffe : https://github.com/songhan/SqueezeNet-Residual
• unofficial-caffe : https://github.com/DeepScale/SqueezeNet

Stochastic Depth ResNet

• https://arxiv.org/abs/1603.09382
• unofficial-torch : https://github.com/yueatsprograms/Stochastic_Depth
• unofficial-chainer : https://github.com/yasunorikudo/chainer-ResDrop
• unofficial-keras : https://github.com/dblN/stochastic_depth_keras