mingxuangu Goto Github PK
Name: Mingxuan Gu
Type: User
Location: Erlangen, Germany
Name: Mingxuan Gu
Type: User
Location: Erlangen, Germany
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
( NeurIPS 2020 ) Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
domain adaptation with CF distance for medical image segmentation
Different defects, e.g., cracks or inactive regions
An official PyTorch implementation of "Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation", ECCV 2022.
Disentangle domain features for cross-modality cardiac image segmentation
DyNet: The Dynamic Neural Network Toolkit
The official code for our BVM 2022 paper "Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation"
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
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.
Python implementation of our method Soft-Labeled Contrastive Learing with Reversed Monte Carlo Method published in MICCAI 2024.
Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)
Hackathon held by Voith on 22-23.07.2019
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