Guangqi,Liu (刘广琦)'s repositories
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
SeMask-Segmentation
[Preprint] SeMask: Semantically Masked Transformers for Semantic Segmentation.
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
MT-UNet
Mixed Transformer UNet for Medical Image Segmentation
UNetPlusPlus
Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018
PyTorch-Simple-MaskRCNN
A PyTorch implementation of simple Mask R-CNN
LeViT-UNet
For medical image segmentation
refinenet-pytorch
RefineNet-101 VOC in PyTorch
pytorch-fcn
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
prepare_detection_dataset
convert dataset to coco/voc format
TransUNet
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
automatic-label-correction-CCEDD
paper: Automatic Label Correction for the Accurate Edge Detection of Overlapping Cervical Cells
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
Swin-Unet
The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
SegNet_PyTorch
PyTorch implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
py-hausdorff
Fast computation of Hausdorff distance in Python
ResUNetPlusPlus
Official code for ResUNetplusplus for medical image segmentation (TensorFlow implementation) (IEEE ISM)
DeepLab_v1
DeepLab v1 Implementation with Pytorch
dissect
Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"
ComparisonDetector
The implement for Comparison Detector: Convolutional Neural Networks for Cervical Cell Detection in the Limited-data Scenario.
RAUNet
RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments (ICONIP19)
Image_Segmentation
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
deeplab-pytorch
PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC
Attention-Gated-Networks
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
ConvCRF
This repository contains the reference implementation for our proposed Convolutional CRFs.