squeeze-and-excitation

There are 1 repository under squeeze-and-excitation topic.

qubvel / classification_models
Classification models trained on ImageNet. Keras.
resnet pretrained-models pretrained-weights keras imagenet imagenet-classifier classification-model resnext senet squeeze-and-excitation inceptionv3 inception-resnet-v2 densenet mobilenet nasnet xception vgg
Language:Python 1203
ai-med / squeeze_and_excitation
PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
deep-learning segmentation squeeze-and-excitation convolutional-networks pytorch fully-convolutional-networks
Language:Python 304
signatrix / regnet
Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"
designing-network-design-spaces image-classification pytorch deep-learning regnet anynet fair paradigm squeeze-and-excitation imagenet classification
Language:Python 181
DebeshJha / ResUNetPlusPlus
Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)
unet tensorflow image-segmentation medical-image-segmentation unet-model resunet-architecture resunet resunet-plus-plus aspp attention residual-networks squeeze-and-excitation conv2d pytorch pytorch-implementation
Language:Python 163
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.
senet pytorch densenet cnn-classification squeeze-and-excitation
Language:Python 100
abhi4ssj / few-shot-segmentation
PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans
shot-segmentation few-shot-learning segmentation medical-imaging volumetric squeeze-and-excitation
Language:Python 97
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)
cnn-classification tensorflow-models tensorflow squeeze-and-excitation haarwavelet
Language:Python 38
mnikitin / channel-attention
Gluon implementation of channel-attention modules: SE, ECA, GCT
deep-learning eca ecanet cnn mxnet gluon gct se squeeze-and-excitation channel-attention senet
Language:Python 35
DebeshJha / NanoNet
Official implementation of NanoNet: Real-time medical Image segmentation architecture (IEEE CBMS)
unet medical-image-segmentation nanonets polyp-segmentation residual-networks squeeze-and-excitation python segmentation tensorflow capsule-endoscopy image-segmentation-tensorflow lightweight-framework lightweight-neural-network open-source-datasets semantic-segmentation
Language:Python 25
mpatacchiola / contextual-squeeze-and-excitation
Official Pytorch implementation of the paper "Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification" (NeurIPS 2022)
image-classification meta-learning pytorch transfer-learning deep-learning few-shot-learning paper squeeze-and-excitation squeeze-and-excitation-networks
Language:Python 24
Tensor46 / TensorMONK
A collection of deep learning models (PyTorch implemtation)
pytorch capsule-networks efficientnet resnet inceptionv4 ssd-mobilenet pggan shufflenet mobilenetv2 mobilenet-ssd densenet sagan squeeze-and-excitation vae neural-decision-forest dice-loss unet lookahead radam condconv
Language:Python 20
imkhan2 / se-resnet
A squeeze-and-excitation enabled ResNet for image classification
squeeze-and-excitation resnet-18 convolutional-neural-networks
Language:Python 19
frechele / SENet-PyTorch
Squeeze and Excitation network implementation.
squeeze-and-excitation deep-learning cifar-10 pytorch
Language:Python 17
nikhilroxtomar / Attention-Mechanism-Implementation
Implementation of different attention mechanisms in TensorFlow and PyTorch.
attention-mechanism squeeze-and-excitation tensorflow pytorch
Language:Python 10
thauptmann / 3D-ResNet-Builder-for-Keras
A module for creating 3D ResNets with different depths and additional features.
squeeze-and-excitation network-builder tensorflow keras 3d-resnet
Language:Python 8
tshr-d-dragon / Semantic_Segmentation_Models
I am aiming to write different Semantic Segmentation models from scratch with different pretrained backbones.
deeplab deeplab-tensorflow deeplab-v3 deeplab-v3-plus deeplabv3 deeplabv3plus pspnet pspnet-tensorflow squeeze-and-excitation segmentation semantic-segmentation squeezenet unet keras tensorflow
Language:Python 6
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.
deep-learning convolutional-neural-networks residual-networks squeeze-and-excitation pytorch university-project svhn-classifier svhn-dataset
Language:Python 5
Ksuryateja / LS-CNN
PyTorch implementation of LS-CNN: Characterizing Local Patches at Multiple Scales for Face Recognition
pytorch pytorch-implementation attention face-recognition pre-trained-model dual-face-attention squeeze-and-excitation webface lfw-dataset
Language:Python 4
edshkim98 / ChannelwiseAttention
Implementation of various channel-wise attention modules
attention-mechanism channel-attention image-classification squeeze-and-excitation
Language:Python 3
music-genre-classification
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.
convolutional-neural-networks deep-learning gtzan-dataset music squeeze-and-excitation pytorch torchaudio
Language:Python 2
anhvung / Squeeze-and-Excitation-Networks
Implementation of SE-ResNet models and other SE-Nets
deep-learning convolutional-neural-networks squeeze-and-excitation imagenet cifar10 cifar100 inceptionv3 resnet resnext tensorflow2
Language:Jupyter Notebook 2
glee1228 / Cardiac_segmentation
Cardiac_segmentation based on 3D Convolution Neural Network with SE blocks
cardiac-segmentation medical-imaging squeeze-and-excitation u-net
Language:Python 2
Peachypie98 / ResUnetPP
PyTorch Implementation of ResUnet++
pytorch resunet resunet-pp deep-learning image-segmentation kvasir-seg self-attention aspp medical-imaging squeeze-and-excitation
Language:Python 2
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
deep-learning image-segmentation neural-network r2u-net rooftop-detection squeeze-and-excitation unet
Language:Jupyter Notebook 2
YeongHyeon / SENet-Simple
Implementation of Squeeze and Excitation Networks (SENet) with MNIST dataset
squeeze-and-excitation neural-network classifier convolutional-neural-networks mnist-dataset mnist-classification
Language:Python 2
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.
inception resnet resnext squeeze-and-excitation tensorflow
Language:Jupyter Notebook 1
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.
chess-engine chess chess-ai artificial-intelligence neural-network deep-learning machine-learning residual-networks squeeze-and-excitation onnx onnxruntime pytorch
Language:C++ 1
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".
cnn convolutional-neural-networks deep-learning neural-network residual-networks squeeze-and-excitation
Language:Jupyter Notebook 1
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.
cross-entropy-loss densenet focal-loss grad-cam-visualization hyperparameter-optimization optuna resnet-18 squeeze-and-excitation
Language:Jupyter Notebook 1
VIVelev / SENet-flow
Squeeze-and-Excitation Network - implementation in TensorFlow
squeeze-and-excitation neural-network tensorflow
Language:Jupyter Notebook 1
ananiask8 / study-hall
Deep Learning studies.
attention-augmented-conv attention-mechanism cifar-10 computer-vision deep-learning pytorch resnet squeeze-and-excitation stand-alone-self-attention transformers
Language:Jupyter Notebook 0
mahidul5130 / ChurnNet_Deep_Learning_Enhanced_Customer_Churn-Prediction_in_Telecommunication_Industry
ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry
binary-classification channel-attention churn-prediction cnn-classification residual-networks residual-neural-network spatial-channel-transformer squeeze-and-excitation telco-churn-classification resudal spatial-channel-attention
Language:Jupyter Notebook 0
Ootzk / SsENet.PyTorch
An experimental implementation to verify variation idea to Squeeze-and-Excitation Networks(SENet)
deep-learning convolutional-neural-networks experiment squeeze-and-excitation
Language:Python 0
raj-1411 / PITS-Net
Poly-Attention Intel Transfer Segmentation Network for skin lesion segmentation
binary-segmentation convnext-unet skin-lesion-segmentation squeeze-and-excitation u-net
Language:Jupyter Notebook 0
artem-gorodetskii / Nutrient-Deficiency-Stress-Segmentation
Application of a self-normalizing network for object segmentation.
computer-vision object-segmentation unet-image-segmentation unet self-normalizing-neural-networks squeeze-and-excitation group-normalization
Language:Jupyter Notebook
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
cifar10 residual-networks squeeze-and-excitation
Language:Jupyter Notebook

squeeze-and-excitation

qubvel / classification_models

ai-med / squeeze_and_excitation

signatrix / regnet

DebeshJha / ResUNetPlusPlus

ygean / SE_DenseNet

abhi4ssj / few-shot-segmentation

MingtaoGuo / CNN-for-Chinese-Calligraphy-Styles-classification

mnikitin / channel-attention

DebeshJha / NanoNet

mpatacchiola / contextual-squeeze-and-excitation

Tensor46 / TensorMONK

imkhan2 / se-resnet

frechele / SENet-PyTorch

nikhilroxtomar / Attention-Mechanism-Implementation

thauptmann / 3D-ResNet-Builder-for-Keras

tshr-d-dragon / Semantic_Segmentation_Models

JGuymont / humanware

Ksuryateja / LS-CNN

edshkim98 / ChannelwiseAttention

achgls / music-genre-classification

anhvung / Squeeze-and-Excitation-Networks

glee1228 / Cardiac_segmentation

Peachypie98 / ResUnetPP

pypye / rooftop_detection

YeongHyeon / SENet-Simple

anvdn / SqueezeAndExcitationNetworks

gaetanserre / GAiA

promaprogga / iResSENet-An-Accurate-Convolutional-Neural-Network-for-Retinal-Blood-Vessel-Segmentation

rae-t627 / KL-Severity-Grading-Focal-Loss-Optimization-Grad-CAM

VIVelev / SENet-flow

ananiask8 / study-hall

mahidul5130 / ChurnNet_Deep_Learning_Enhanced_Customer_Churn-Prediction_in_Telecommunication_Industry

Ootzk / SsENet.PyTorch

raj-1411 / PITS-Net

artem-gorodetskii / Nutrient-Deficiency-Stress-Segmentation

Navya0203 / RESNET-ON-CIFAR-10