Alternatives and similar repositories for HyperbolicImageSegmentation:

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

• wildphoton / RandConv
  Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"
  ☆63Updated 3 years ago
• gaozhitong / MoSE-AUSeg
  The official code repo for the paper "Mixture of Stochastic Experts for Modeling Aleatoric Uncertainty in Segmentation". (ICLR 2023)
  ☆26Updated last year
• MinaGhadimiAtigh / Hyperbolic-Busemann-Learning
  Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021
  ☆24Updated 3 years ago
• wbw520 / BotCL
  Learning Bottleneck Concepts in Image Classification (CVPR 2023)
  ☆35Updated last year
• devavratTomar / TeSLA
  [CVPR 2023] TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
  ☆22Updated last year
• 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
• ExplainableML / UncertaintyAwareCycleConsistency
  Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.
  ☆24Updated 3 years ago
• wengzejia1 / Semiformer
  ☆36Updated 2 years ago
• hathawayxxh / CRCKD
  The source code of 'Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification' (MICCAI 2021)
  ☆17Updated 3 years ago
• ucasligang / SemMAE
  [NeurIPS 2022] code for the paper, SemMAE: Semantic-guided masking for learning masked autoencoders
  ☆35Updated last year
• Kangningthu / ADELE
  Adaptive Early-Learning Correction for Segmentation from Noisy Annotations (CVPR 2022 Oral)
  ☆80Updated 2 years ago
• cyh-0 / BoMD
  Official code for "BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification"
  ☆22Updated 9 months ago
• hzhupku / RegionContrast
  Region-aware Contrastive Learning for Semantic Segmentation, ICCV 2021
  ☆45Updated 3 years ago
• med-air / FGRM
  [NeurIPS'23] Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization
  ☆14Updated 5 months ago
• needylove / OrdinalEntropy
  The code of "Improving Deep Regression with Ordinal Entropy" in ICLR 2023
  ☆46Updated last year
• Haoqing-Wang / LocalMIM
  [CVPR 2023 Highlight] Masked Image Modeling with Local Multi-Scale Reconstruction
  ☆46Updated last year
• pietroastolfi / suave-daino
  Code release for "Semi-supervised learning made simple with self-supervised clustering"
  ☆53Updated last year
• czifan / RAML
  ☆15Updated 2 years ago
• HeliosZhao / SHADE
  Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation. ECCV 2022
  ☆45Updated 2 years ago
• ml-jku / MAE-CT
  ☆31Updated 9 months ago
• manuel-tran / s5cl
  S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning
  ☆17Updated 2 years ago
• Saumya-Gupta-26 / struct-uncertainty
  This repository contains the implementation for our work "Topology-Aware Uncertainty for Image Segmentation", accepted to NeurIPS 2023.
  ☆42Updated last month
• LiheYoung / ShrinkMatch
  [ICCV 2023] Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
  ☆47Updated last year
• fudan-zvg / DGMN2
  [TPAMI 2022 & CVPR 2020 Oral] Dynamic Graph Message Passing Networks
  ☆30Updated 2 years ago
• MrChenFeng / MaskCon_CVPR2023
  MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset (CVPR2023)
  ☆32Updated 11 months ago
• VICO-UoE / MTPSL
  Learning Multiple Dense Prediction Tasks from Partially Annotated Data - CVPR 2022
  ☆47Updated last year
• mathilde-b / TTA
  ☆26Updated last year
• koncle / TSMLDG
  Generalizable Semantic Segmentation viaModel-agnostic Learning and Target-specificNormalization
  ☆28Updated 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
• Hasindri / HLSS
  [MICCAI 2024 🔥] HLSS, the first study to explore hierarchical information inherent in histopathology images and their language descripti…
  ☆23Updated 5 months ago