squeeze-and-excitation

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anhvung / Squeeze-and-Excitation-Networks

Implementation of SE-ResNet models and other SE-Nets

deep-learning imagenet resnet convolutional-neural-networks inceptionv3 cifar10 resnext cifar100 squeeze-and-excitation tensorflow2

Updated Dec 24, 2021
Jupyter Notebook

livenletdie / pytorch-mobilenet

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PyTorch Implementation of Mobilenet Variants including support for residual connections, group convolutions and squeeze-excite blocks

pytorch imagenet residual-networks mobilenet group-convolution squeeze-and-excitation

Updated Jul 4, 2018
Python

Navya0203 / RESNET-ON-CIFAR-10

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In this project, we proposed a straightforward strategy to engineer Residual networks with fewer than 5M parameters for CIFAR10 dataset

residual-networks cifar10 squeeze-and-excitation

Updated May 10, 2024
Jupyter Notebook

JGuymont / humanware

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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 university-project pytorch convolutional-neural-networks residual-networks svhn-classifier squeeze-and-excitation svhn-dataset

Updated Feb 8, 2019
Python

Peachypie98 / ResUnetPP

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PyTorch Implementation of ResUnet++

deep-learning pytorch medical-imaging image-segmentation self-attention aspp squeeze-and-excitation resunet resunet-pp kvasir-seg

Updated Jun 26, 2023
Python

Ootzk / SsENet.PyTorch

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An experimental implementation to verify variation idea to Squeeze-and-Excitation Networks(SENet)

experiment deep-learning convolutional-neural-networks squeeze-and-excitation

Updated Dec 14, 2021
Python

gaetanserre / GAiA

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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.

machine-learning chess-engine chess deep-learning neural-network pytorch artificial-intelligence residual-networks chess-ai onnx squeeze-and-excitation onnxruntime

Updated Dec 13, 2022
C++

ananiask8 / study-hall

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Deep Learning studies.

computer-vision deep-learning transformers pytorch resnet attention-mechanism cifar-10 squeeze-and-excitation attention-augmented-conv stand-alone-self-attention

Updated Dec 26, 2022
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artem-gorodetskii / Nutrient-Deficiency-Stress-Segmentation

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Application of a self-normalizing network for object segmentation.

computer-vision unet object-segmentation group-normalization unet-image-segmentation squeeze-and-excitation self-normalizing-neural-networks

Updated Mar 22, 2022
Jupyter Notebook

edshkim98 / ChannelwiseAttention

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Implementation of various channel-wise attention modules

image-classification attention-mechanism squeeze-and-excitation channel-attention

Updated Apr 18, 2021
Python

anvdn / SqueezeAndExcitationNetworks

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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.

tensorflow resnet inception resnext squeeze-and-excitation

Updated Dec 22, 2021
Jupyter Notebook

raj-1411 / PITS-Net

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Poly-Attention Intel Transfer Segmentation Network for skin lesion segmentation

u-net squeeze-and-excitation skin-lesion-segmentation binary-segmentation convnext-unet

Updated Aug 23, 2023
Jupyter Notebook

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

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This repository contains the original implementation of "iResSENet: An Accurate Convolutional Neural Network for Retinal Blood Vessel Segmentation".

deep-learning neural-network cnn convolutional-neural-networks residual-networks squeeze-and-excitation

Updated May 11, 2023
Jupyter Notebook

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

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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.

hyperparameter-optimization densenet resnet-18 focal-loss cross-entropy-loss squeeze-and-excitation optuna grad-cam-visualization