wanglixilinx

DSRL

Dual Super-Resolution Learning for Semantic Segmentation

CDCL

Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving

AdapNet-pp

TensorFlow model for training AdapNet++ for semantic segmentation

arxiv_daily

Awesome-Diabetic-Retinopathy-Detection

Papers and Public Datasets for Diabetic Retinopathy Detection

COVID-19-CT-Seg-Benchmark

A Benchmark for Lung and Infection Segmentation in COVID-19 CT scans

COVID-Net

COVID-Net Open Source Initiative

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

EAD2019

Github pages

EDSR-PyTorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

Efficient-Image-Super-Resolution-with-Collapsible-Linear-Blocks

evaluation_temporal_metric

LIP

Code for LIP: Local Importance-based Pooling (ICCV 19)

MABN

mlsr_m

mlsr_new_tesbed

mmdetection

Open MMLab Detection Toolbox and Benchmark

models

Models and examples built with TensorFlow

Multi-Scale-Attention

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

NTIRE-2022-Efficient-Super-Resolution-Challenge

NTIRE 2022 Efficient Super-Resolution Challenge test results

objnessdet

Let's create a simple, efficient objectness branch to address the imbalance between foregrounds and backgrounds!

Projects

pytorch-segmentation-toolbox

PyTorch Implementations for DeeplabV3 and PSPNet

pytorch-unet-segmentation

semantic-segmentation

Improving Semantic Segmentation via Video Propagation and Label Relaxation

semseg

Semantic Segmentation in Pytorch

snake

Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral

TreeFilter-Torch

Learnable Tree Filter for Structure-preserving Feature Transform

unet

unet for image segmentation

yolact

A simple, fully convolutional model for real-time instance segmentation.