Pinned Repositories
AdaptSegNet
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
ADVENT
Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
ASM
( NeurIPS 2020 ) Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
CFDnet
domain adaptation with CF distance for medical image segmentation
Classification-of-solar-cell-defects
Different defects, e.g., cracks or inactive regions
DASS
An official PyTorch implementation of "Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation", ECCV 2022.
DDFSeg
Disentangle domain features for cross-modality cardiac image segmentation
dynet
DyNet: The Dynamic Neural Network Toolkit
Few-shot-UDA
The official code for our BVM 2022 paper "Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation"
Game-Development-of-Mitosis-Detection
MingxuanGu's Repositories
MingxuanGu/Few-shot-UDA
The official code for our BVM 2022 paper "Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation"
MingxuanGu/Classification-of-solar-cell-defects
Different defects, e.g., cracks or inactive regions
MingxuanGu/AdaptSegNet
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
MingxuanGu/ADVENT
Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
MingxuanGu/ASM
( NeurIPS 2020 ) Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
MingxuanGu/CFDnet
domain adaptation with CF distance for medical image segmentation
MingxuanGu/DASS
An official PyTorch implementation of "Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation", ECCV 2022.
MingxuanGu/DDFSeg
Disentangle domain features for cross-modality cardiac image segmentation
MingxuanGu/dynet
DyNet: The Dynamic Neural Network Toolkit
MingxuanGu/Game-Development-of-Mitosis-Detection
MingxuanGu/MPSCL
This repository contains code for the paper "Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation", published at IEEE JBHI 2022
MingxuanGu/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
MingxuanGu/Simulation-and-optimization-of-production-of-building-and-units-in-StarCraft-2
MingxuanGu/Soft-Labeled-Contrastive-Learning
Python implementation of our method Soft-Labeled Contrastive Learing with Reversed Monte Carlo Method published in MICCAI 2024.
MingxuanGu/t-loss
Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)
MingxuanGu/Voith_Hackathon
Hackathon held by Voith on 22-23.07.2019