squeeze-and-excitation topic

Classification models trained on ImageNet. Keras.

qubvel

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

ai-med

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

signatrix

PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans

abhi4ssj

Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)

DebeshJha

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.

ygean

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 Chineseca...

MingtaoGuo

Gluon implementation of channel-attention modules: SE, ECA, GCT

mnikitin

Official Pytorch implementation of the paper "Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification" (NeurIPS 2022)

mpatacchiola

A collection of deep learning models (PyTorch implemtation)

Tensor46