Alternatives and similar repositories for SENTRY:

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

• TKKim93 / APE
  [ECCV 2020] Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation
  ☆30Updated 4 years ago
• fiveai / LAME
  This code accompanies the paper "Parameter-free Online Test-time Adaptation".
  ☆68Updated 2 years ago
• KaiyangZhou / ssdg-benchmark
  Benchmarks for semi-supervised domain generalization.
  ☆68Updated 2 years ago
• ygjwd12345 / TransDA
  Official pytorch implement for “Transformer-Based Source-Free Domain Adaptation”
  ☆67Updated 2 years ago
• Albert0147 / G-SFDA
  code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'
  ☆104Updated 2 years ago
• HAHA-DL / Episodic-DG
  This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113
  ☆57Updated last year
• tim-learn / BA3US
  code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"
  ☆41Updated last year
• RoyalVane / ASM
  ( NeurIPS 2020 ) Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
  ☆71Updated 3 years ago
• VisionLearningGroup / OVANet
  Repository for OVANet
  ☆85Updated 3 years ago
• tim-learn / DINE
  code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"
  ☆79Updated last year
• prithv1 / DMG
  Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"
  ☆55Updated 4 years ago
• Jingkang50 / ICCV21_SCOOD
  The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
  ☆70Updated 3 years ago
• kailigo / pacl
  PyTroch Implementation of the following paper, "ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation, ICCV'21""
  ☆15Updated 2 years ago
• GT-RIPL / FeatMatch
  PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"
  ☆50Updated 4 years ago
• mancinimassimiliano / CuMix
  Official code for "Towards Recognizing Unseen Categories in Unseen Domains"
  ☆63Updated 2 years ago
• BIT-DA / TSA
  [CVPR 2021 Oral] Code release for "Transferable Semantic Augmentation for Domain Adaptation"
  ☆74Updated 4 years ago
• Gorilla-Lab-SCUT / SRDC-CVPR2020
  Code release for Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering (CVPR2020-Oral).
  ☆80Updated 2 years ago
• vita-epfl / ttt-plus-plus
  [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
  ☆65Updated 3 years ago
• ChrisAllenMing / LtC-MSDA
  Implementation of Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation (ECCV 2020).
  ☆70Updated 2 years ago
• YBZh / Bridging_UDA_SSL
  The official codes of "Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners".
  ☆37Updated 2 years ago
• VisionLearningGroup / visda21-dev
  ☆46Updated 3 years ago
• silvia1993 / ROS
  Rotation-based Open Set
  ☆41Updated 2 years ago
• liyunsheng13 / DRT
  ☆67Updated 2 years ago
• BIT-DA / DDA
  Code release for "Dynamic Domain Adaptation for Efficient Inference" (CVPR 2021)
  ☆33Updated 3 years ago
• cuishuhao / GVB
  Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)
  ☆80Updated last year
• koncle / TSMLDG
  Generalizable Semantic Segmentation viaModel-agnostic Learning and Target-specificNormalization
  ☆28Updated 4 years ago
• val-iisc / SDAT
  [ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",
  ☆68Updated 11 months ago
• BUserName / PGL
  ☆32Updated last year
• AlexanderBartler / MT3
  ☆17Updated 2 years ago
• korawat-tanwisuth / Proto_DA
  ☆45Updated 3 years ago