squeeze-and-excitation
There are 37 repositories under squeeze-and-excitation topic.
qubvel/classification_models
Classification models trained on ImageNet. Keras.
ai-med/squeeze_and_excitation
PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
signatrix/regnet
Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"
DebeshJha/ResUNetPlusPlus
Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)
ygean/SE_DenseNet
This is a SE_DenseNet which contains a senet (Squeeze-and-Excitation Networks by Jie Hu, Li Shen, and Gang Sun) module, written in Pytorch, train, and eval codes have been released.
abhi4ssj/few-shot-segmentation
PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans
MingtaoGuo/CNN-for-Chinese-Calligraphy-Styles-classification
A convolution neural network with SE block and haar wavelet block for Chinese calligraphy styles classification by TensorFlow.(Paper: A novel CNN structure for fine-grained classification of Chinesecalligraphy styles)
mnikitin/channel-attention
Gluon implementation of channel-attention modules: SE, ECA, GCT
DebeshJha/NanoNet
Official implementation of NanoNet: Real-time medical Image segmentation architecture (IEEE CBMS)
mpatacchiola/contextual-squeeze-and-excitation
Official Pytorch implementation of the paper "Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification" (NeurIPS 2022)
Tensor46/TensorMONK
A collection of deep learning models (PyTorch implemtation)
imkhan2/se-resnet
A squeeze-and-excitation enabled ResNet for image classification
frechele/SENet-PyTorch
Squeeze and Excitation network implementation.
nikhilroxtomar/Attention-Mechanism-Implementation
Implementation of different attention mechanisms in TensorFlow and PyTorch.
thauptmann/3D-ResNet-Builder-for-Keras
A module for creating 3D ResNets with different depths and additional features.
tshr-d-dragon/Semantic_Segmentation_Models
I am aiming to write different Semantic Segmentation models from scratch with different pretrained backbones.
JGuymont/humanware
Different convolutional neural network implementations for predicting the lenght of the house numbers in the SVHN image dataset. First part of the Humanware project in ift6759-avanced projects in ML.
Ksuryateja/LS-CNN
PyTorch implementation of LS-CNN: Characterizing Local Patches at Multiple Scales for Face Recognition
edshkim98/ChannelwiseAttention
Implementation of various channel-wise attention modules
achgls/music-genre-classification
Music genre classification project as part of the Numerical Analysis for Machine Learning course at Politecnico di Milano, A.Y 2022-2023.
anhvung/Squeeze-and-Excitation-Networks
Implementation of SE-ResNet models and other SE-Nets
gaetanserre/GAiA
GAiA is a UCI chess engine built with C++ 17, ONNX and Pytorch. It performs an in-depth analysis and uses a complex squeeze-and-excitation residual network to evaluate each chess board.
glee1228/Cardiac_segmentation
Cardiac_segmentation based on 3D Convolution Neural Network with SE blocks
Peachypie98/ResUnetPP
PyTorch Implementation of ResUnet++
pypye/rooftop_detection
The 'Advanced topics in Computer Science' big project by Duc Tran Van, Manh Hoang Duc, Hoang Pham Tuan Nguyen, Thang Pham Duc
YeongHyeon/SENet-Simple
Implementation of Squeeze and Excitation Networks (SENet) with MNIST dataset
anvdn/SqueezeAndExcitationNetworks
Implementation of SE-ResNet, SE-ResNeXt and SE-InceptionV3 from scratch and comparison of the results obtained for CIFAR-10, CIFAR-100 and Tiny ImageNet with the original paper.
promaprogga/iResSENet-An-Accurate-Convolutional-Neural-Network-for-Retinal-Blood-Vessel-Segmentation
This repository contains the original implementation of "iResSENet: An Accurate Convolutional Neural Network for Retinal Blood Vessel Segmentation".
rae-t627/KL-Severity-Grading-Focal-Loss-Optimization-Grad-CAM
KL severity grading using SE-ResNet and SE-DenseNet architectures trained with Cross Entropy loss and Focal Loss. The hyperparameters of focal loss have been fine-tuned as well. Further, Grad-CAM has been implemented for visualization purposes.
VIVelev/SENet-flow
Squeeze-and-Excitation Network - implementation in TensorFlow
ananiask8/study-hall
Deep Learning studies.
mahidul5130/ChurnNet_Deep_Learning_Enhanced_Customer_Churn-Prediction_in_Telecommunication_Industry
ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry
Ootzk/SsENet.PyTorch
An experimental implementation to verify variation idea to Squeeze-and-Excitation Networks(SENet)
raj-1411/PITS-Net
Poly-Attention Intel Transfer Segmentation Network for skin lesion segmentation
artem-gorodetskii/Nutrient-Deficiency-Stress-Segmentation
Application of a self-normalizing network for object segmentation.
Navya0203/RESNET-ON-CIFAR-10
In this project, we proposed a straightforward strategy to engineer Residual networks with fewer than 5M parameters for CIFAR10 dataset