senet

Squeeze-and-Excitation Networks

PyTorch implementation of SENet

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

Classification models trained on ImageNet. Keras.

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

PyTorch implementation of CNNs for CIFAR benchmark

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

A Caffe Re-Implementation of SENet

CBAM implementation on TensowFlow

An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!

CBAM implementation on TensorFlow Slim

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.

Variant VNet family

Implementation of DSSM for recommendation by PyTorch (Including SENet and random negative sampling)

Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project

Official PyTorch Implementation of Revisiting Self-Similarity: Structural Embedding for Image Retrieval, CVPR 2023

可以训练yolov5(v6.0)、yolox、小型网络，添加注意力机制

Convert Caffe models to ONNX.