Wei Huang's repositories
Perceptual_metric
Three preceptual metrics, including vgg distance, inception score and FID score
Awesome-Neuron-Segmentation-in-EM-Images
A curated list of resources for 3D segmentation of neurites in EM images
awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
awesome-semi-supervised-learning
:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
brainstorm
Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"
Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
cluster_tools
Distributed segmentation for bio-image-analysis
euclidean-distance-transform-3d
Euclidean distance transform for multi-label 3D anisotropic images.
flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
GASP
Generalized algorithm for agglomerative clustering of signed graphs
HRNet-Semantic-Segmentation
High-resolution representation learning (HRNets) for Semantic Segmentation
instance-segmentation-pytorch
Semantic Instance Segmentation with a Discriminative Loss Function in PyTorch
introRL
Intro to Reinforcement Learning (强化学习纲要）
Machine_Learning_Tutorials
Code, exercises and tutorials of my personal blog ! 📝
malis-project
Implementation and analysis of Maximin Affinity of Image Segmentation
MetaCorrection
[CVPR'21] MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation
MitoEM2021-Challenge
🏆 SOTA for 3D Instance Segmentation on MitoEM.
PyTorch-CycleGAN
A clean and readable Pytorch implementation of CycleGAN
pytorch-inpainting-partial-conv
A PyTorch implementation of the "Image Inpainting for Irregular Holes Using Partial Convolutions" paper from Liu et al at NVIDIA
pytorch-LearnedRandomWalker
Coming Soon
SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
sssegmentation
sssegmentation is a general framework for our research on strongly supervised semantic segmentation.
stardist
StarDist - Object Detection with Star-convex Shapes
SyConn
Software for the generation and analysis of volume eletron microscopy based synaptic connectomes of brain tissue.