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123456

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

awesome-vision-attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

cbam.pytorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

covepidemic

this is third lab

covs1

this is a java console application

covs3

this is a java console appllication

datastructure

用Java实现的数据结构暨算法，同时对其进行了测试

deep-learning

:computer:深度学习实战：手写数字识别、Discuz验证码识别、垃圾分类、语义分割

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

demo

this is first use github

fanet

FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation [IEEE Transactions on Neural Networks and Learning Systems]

how-do-vits-work

(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

paper_list

this repository is a paper list for our lab

pytorch-segmentation-multi-models

Pytorch implementation for Semantic Segmentation with multi models (Deeplabv3, Deeplabv3_plus, PSPNet, UNet, UNet_AutoEncoder, UNet_nested, R2AttUNet, AttentionUNet, RecurrentUNet,, SEGNet, CENet, DsenseASPP, RefineNet, RDFNet)

spnet

Code for our CVPR2020 paper "Strip Pooling: Rethinking Spatial Pooling for Scene Parsing"

unet-segmentation-pytorch-nest-of-unets

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

unet-zoo

including unet,unet++,attention-unet,r2unet,cenet,segnet ,fcn.