Alternatives and similar repositories for failure_detection_benchmark:

Users that are interested in failure_detection_benchmark are comparing it to the libraries listed below

• moucheng2017 / Med-Noisy-Labels
  [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
  ☆73Updated 2 years ago
• neerakara / test-time-adaptable-neural-networks-for-domain-generalization
  Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"
  ☆46Updated 4 years ago
• mobarakol / SVLS
  ☆15Updated last year
• MIC-DKFZ / mood
  Repository for the Medical Out-of-Distribution Analysis Challenge.
  ☆62Updated 9 months ago
• vios-s / vMFNet
  vMFNet: Compositionality Meets Domain-generalised Segmentation
  ☆16Updated 2 years ago
• ReubenDo / U-HVED
  Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation
  ☆36Updated 2 years ago
• tqxli / self_supervised_learning_in_medical_imaging
  A collection of self-supervised papers in medical imaging.
  ☆39Updated 4 years ago
• Bala93 / MarginLoss
  ☆9Updated 2 months ago
• biomedia-mira / stochastic_segmentation_networks
  Stochastic Segmentation Networks
  ☆66Updated 4 years ago
• HKervadec / segmentation_viewer
  A really simple tool to visualize different segmentation results
  ☆18Updated 2 months ago
• fayjie92 / FSMS-Surrogate
  Semi-supervised few-shot learning for medical image segmentation
  ☆26Updated 4 years ago
• med-air / DLTTA
  [IEEE TMI'22] DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images
  ☆18Updated 2 years ago
• cherise215 / MaxStyle
  [MICCAI 2022] MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation
  ☆33Updated 2 years ago
• FBLADL / NVUM
  Code for "NVUM: Non-volatile Unbiased Memory for Robust Medical Classification" [MICCAI 2022 Early Accept]
  ☆12Updated 2 years ago
• heyufan1995 / self-domain-adapted-network
  MICCAI2020: self domain adapted network
  ☆17Updated 3 years ago
• vios-s / DGNet
  Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
  ☆36Updated 3 years ago
• viggin / DeepLesion_manual_test_set
  A manually annotated test set for DeepLesion with 3D lesion boxes
  ☆25Updated 4 years ago
• ZerojumpLine / CoLab
  [TMI2023] Context Label Learning: Improving Background Class Representations in Semantic Segmentation.
  ☆19Updated last year
• gigantenbein / UNet-Zoo
  Different U-Net implementations featuring a vanilla U-Net, probabilistic U-Net and PHiSeg. Each with a reversible variant aswell.
  ☆23Updated 2 years ago
• mathilde-b / TTA
  ☆27Updated 2 years ago
• poiuohke / UDC-Net
  Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images
  ☆29Updated 3 years ago
• SteffenCzolbe / probabilistic_segmentation
  ☆24Updated 4 years ago
• xxxliu95 / DGNet
  Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
  ☆35Updated 3 years ago
• HiLab-git / UGIR
  Uncertainty-Guided Interactive Refinement for Segmentation
  ☆58Updated 3 years ago
• ishaanb92 / GeneralizedProbabilisticUNet
  PyTorch model for the Generalized Probabilistic U-Net. For more details see: https://www.melba-journal.org/papers/2023:005.html
  ☆14Updated last year
• ThierryJudge / CRISP-uncertainty
  ☆10Updated 2 years ago
• jeya-maria-jose / On-The-Fly-Adaptation
  Code base for "On-the-Fly Test-time Adaptation for Medical Image Segmentation"
  ☆31Updated 3 years ago
• gaurav104 / WSS-CMER
  Code for the paper : "Weakly supervised segmentation with cross-modality equivariant constraints", available at https://arxiv.org/pdf/210…
  ☆20Updated 2 years ago
• TencentAILabHealthcare / ReMix
  ☆16Updated 2 years ago
• vios-s / disentanglement_tutorial
  This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and ser…
  ☆62Updated 2 years ago