gaozhitong / MoSE-AUSegLinks
The official code repo for the paper "Mixture of Stochastic Experts for Modeling Aleatoric Uncertainty in Segmentation". (ICLR 2023)
☆28Updated last year
Alternatives and similar repositories for MoSE-AUSeg
Users that are interested in MoSE-AUSeg are comparing it to the libraries listed below
Sorting:
- Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels for neurips 2021☆28Updated 2 years ago
- PyTorch model for the Generalized Probabilistic U-Net. For more details see: https://www.melba-journal.org/papers/2023:005.html☆14Updated last year
- ☆28Updated 2 years ago
- Code base for "On-the-Fly Test-time Adaptation for Medical Image Segmentation"☆29Updated 3 years ago
- ☆10Updated 2 years ago
- Code for "NVUM: Non-volatile Unbiased Memory for Robust Medical Classification" [MICCAI 2022 Early Accept]☆12Updated 2 years ago
- [IEEE TMI'22] DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images☆18Updated 2 years ago
- Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)☆49Updated last year
- AAAI2023 Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation☆28Updated last year
- official implementation of the proposed decoupled feature query (DFQ)☆13Updated 11 months ago
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation☆35Updated 3 years ago
- Source-Free Domain Adaptation☆43Updated 2 years ago
- Learning to Segment from Noisy Annotations: A Spatial Correction Approach☆19Updated last year
- MICCAI 2023: Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation☆15Updated 10 months ago
- Repository for "Stochastic Segmentation with Conditional Categorical Diffusion Models" (ICCV 2023)☆44Updated last year
- [ECCV'22] Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration☆43Updated 10 months ago
- Anatomically-aware Uncertainty for Semi-supervised Image Segmentation☆17Updated last year
- ☆12Updated last year
- Code paper Uncertainty Reduction for Uncertainty Reduction for Model Adaptation in Semantic Segmentation at CVPR 2021☆51Updated 2 years ago
- The official code for our BVM 2022 paper "Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation"☆15Updated last year
- ☆22Updated last year
- Different U-Net implementations featuring a vanilla U-Net, probabilistic U-Net and PHiSeg. Each with a reversible variant aswell.☆23Updated 2 years ago
- Medical Matting☆25Updated 2 years ago
- Official code for "BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification"☆26Updated last year
- A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation☆28Updated last year
- ☆27Updated 3 years ago
- [ECCV2024] Domesticating SAM for Breast Ultrasound Image Segmentation via Spatial-frequency Fusion and Uncertainty Correction☆12Updated 10 months ago
- Code for [MICCAI 2022] Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Ima…☆28Updated 2 years ago
- vMFNet: Compositionality Meets Domain-generalised Segmentation☆16Updated 2 years ago
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation☆36Updated 3 years ago