Squeeze-and-Excitation Networks
PyTorch implementation of SENet
Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)
A Caffe Re-Implementation of SENet
Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement
🔥🔥 A MXNet implementation of Squeeze-and-Excitation Networks (SE-ResNext, SE-Resnet, SE-Inception-v4 and SE-Inception-Resnet-v2) 🔥🔥
Naive implementation of SENet in Keras
SENet implementation on TensorFlow Slim
High-acc(>0.7) model(ResNet, ResNeXt, DenseNet, SENet, SE-ResNeXt) on TensorFlow.
VGG, ResNet, InceptionNet, MobileNet, SENet, SE-ResNet, SE-InceptionNet, GoogleNet, DarkNet
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
An oriented bounding boxes implement of YOLOv3 with SEnet , Deformable Convolution and rotated NMS written in CUDA
#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）
The mainstream model of image classification is realized in this work. LeNet、VGG、Inception v1、v2、v3、v4、ResNet、SENet、ShuffleNet、MobileNet、GhostNet...
[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...