Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
Reproduces ResNet-V3 with pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
翻译 - pytorch的预训练ConvNet：NASNet，ResNeXt，ResNet，InceptionV4，InceptionResnetV2，Xception，DPN等。
Reproduce ResNet-v3(Aggregated Residual Transformations for Deep Neural Network)
Implementation of ResNeXt models from the paper Aggregated Residual Transformations for Deep Neural Networks in Keras 2.0+.
Simple Tensorflow implementation of ResNeXt using Cifar10
High-acc(>0.7) model(ResNet, ResNeXt, DenseNet, SENet, SE-ResNeXt) on TensorFlow.
This is an implementation of ResNeXt (by Xie et al.) in tensorflow
Feature Pyramid Network with ResNext implemented in Keras
Well trained MXNet Gluon Model Zoo ResNet/ResNeXt/SE-ResNeXt ported to PyTorch
Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Classification and Regression).
Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)
Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT)...
翻译 - PyTorch图像模型，脚本，预训练权重-（SE）ResNet / ResNeXT，DPN，EfficientNet，MixNet，MobileNet-V3 / V2，MNASNet，单路径NAS，FBNet等
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
#计算机科学#Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, N...
翻译 - 在cifar100上进行实践（ResNet，DenseNet，VGG，GoogleNet，InceptionV3，InceptionV4，Inception-ResNetv2，Xception，Resnet In Resnet，ResNext，ShuffleNet，ShuffleNetv2，MobileNet，MobileNetv2，SqueezeNet，NasNet，残留注意力网络，SENet）
🔥🔥 A MXNet implementation of Squeeze-and-Excitation Networks (SE-ResNext, SE-Resnet, SE-Inception-v4 and SE-Inception-Resnet-v2) 🔥🔥
A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
Pretrained Image & Video ConvNets and GANs for PyTorch: NASNet, ResNeXt (2D + 3D), ResNet (2D + 3D), InceptionV4, InceptionResnetV2, Xception, DPN, NonLocalNets, R(2+1)D nets, MultiView CNNs, Temporal...
[TIP 2022] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, De...