Alternatives and similar repositories for ICCV2019Publication-Semantic-Transferable-Weakly-Supervised-Endoscopic-Lesions-Segmentation:

Users that are interested in ICCV2019Publication-Semantic-Transferable-Weakly-Supervised-Endoscopic-Lesions-Segmentation are comparing it to the libraries listed below

• Pulkit-Khandelwal / medical-mldg-seg
  Code for the MICCAI DART 2020 paper
  ☆32Updated 3 years ago
• emma-sjwang / EISNet
  [ECCV 2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
  ☆48Updated 2 years ago
• idiap / model-uncertainty-for-adaptation
  Code paper Uncertainty Reduction for Uncertainty Reduction for Model Adaptation in Semantic Segmentation at CVPR 2021
  ☆49Updated 2 years ago
• cyang-cityu / MetaCorrection
  [CVPR'21] MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation
  ☆45Updated 2 years ago
• xmengli / Rotation-oriented-self-supervised
  IEEE TMI 2021
  ☆17Updated 2 years ago
• mathilde-b / SRDA_Miccai
  Source Free Domain Adaptation
  ☆10Updated 3 years ago
• wyf0912 / LDDG
  [NIPS 2020] The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization'
  ☆65Updated 4 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
• jeya-maria-jose / On-The-Fly-Adaptation
  Code base for "On-the-Fly Test-time Adaptation for Medical Image Segmentation"
  ☆28Updated 2 years ago
• michaelofsbu / SpatialCorrection
  Learning to Segment from Noisy Annotations: A Spatial Correction Approach
  ☆17Updated last year
• 502463708 / Confident_Learning_for_Noisy-labeled_Medical_Image_Segmentation
  ☆27Updated 3 years ago
• JiarunLiu / Co-Correcting
  ☆34Updated 3 years ago
• heyufan1995 / self-domain-adapted-network
  MICCAI2020: self domain adapted network
  ☆17Updated 3 years ago
• mathilde-b / TTA
  ☆26Updated last year
• koncle / TSMLDG
  Generalizable Semantic Segmentation viaModel-agnostic Learning and Target-specificNormalization
  ☆28Updated 4 years ago
• SRDAMICCAI / Source-Relaxed-Domain-Adaptation
  Source Free Domain Adaptation
  ☆13Updated 3 years ago
• Gorilla-Lab-SCUT / Label-Propagation-with-Augmented-Anchors
  A2LP for short, ECCV2020 spotlight, Investigating SSL principles for UDA problems
  ☆20Updated 4 years ago
• josedolz / MSL-student-becomes-master
  ☆15Updated 4 years ago
• vios-s / vMFNet
  vMFNet: Compositionality Meets Domain-generalised Segmentation
  ☆15Updated 2 years ago
• ChrisAllenMing / LtC-MSDA
  Implementation of Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation (ECCV 2020).
  ☆70Updated 2 years ago
• Vanint / CoUDA
  This project provides the source code for “Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis (IEEE TIP 2020)”.
  ☆11Updated 3 years ago
• mathilde-b / SFDA
  Source-Free Domain Adaptation
  ☆41Updated last year
• vios-s / DGNet
  Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
  ☆36Updated 3 years ago
• cirmuw / dynamicmemory
  Code for continual machine learning using a dynamic memory (Perkonigg et al. Nat Comms 2021)
  ☆14Updated last year
• Albert0147 / G-SFDA
  code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'
  ☆103Updated 2 years ago
• emma-sjwang / Reading_list
  reading list for deep learning —— PHD life
  ☆31Updated 4 years ago
• ShishuaiHu / ProSFDA
  Code for Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation.
  ☆23Updated last year
• FBLADL / NVUM
  Code for "NVUM: Non-volatile Unbiased Memory for Robust Medical Classification" [MICCAI 2022 Early Accept]
  ☆12Updated 2 years ago
• wildphoton / RandConv
  Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"
  ☆63Updated 3 years ago
• gvalvano / adversarial-test-time-training
  Code for the papers: "Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training", Valvano et al., DART 2021; and "Re…
  ☆10Updated 3 years ago