Alternatives and similar repositories for SAGM

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

• BIT-DA / RoTTA
  [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899
  ☆68Updated 2 years ago
• liangchen527 / ITTA
  Official code for the CVPR23 paper: "Improved Test-Time Adaptation for Domain Generalization"
  ☆36Updated 11 months ago
• koncle / DomainAdaptor
  ☆45Updated 2 years ago
• Jun-CEN / Unified-Open-Set-Recognition
  [ICLR 2023] The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition
  ☆33Updated 2 years ago
• mr-eggplant / EATA
  Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting
  ☆135Updated 2 years ago
• shiyegao / DDA
  Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"
  ☆86Updated 2 years ago
• tim-learn / DINE
  code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"
  ☆82Updated last year
• DianCh / AdaContrast
  Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"
  ☆105Updated 3 years ago
• matsuolab / T3A
  This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…
  ☆103Updated 4 years ago
• yuyongcan / Benchmark-TTA
  ☆63Updated last year
• zhengzangw / DoPrompt
  Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"
  ☆50Updated 2 years ago
• BUserName / Learning_to_diversify
  ☆94Updated 3 years ago
• Albert0147 / OneRing_SF-OPDA
  Code for 'OneRing: A Simple Method for Source-free Open-partial Domain Adaptation'
  ☆34Updated 2 years ago
• fiveai / LAME
  This code accompanies the paper "Parameter-free Online Test-time Adaptation".
  ☆76Updated 3 years ago
• scok30 / MAE-CIL
  Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"
  ☆44Updated last year
• sangrokleeeeee / DAC
  (CVPR2023) official code of Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization
  ☆33Updated 2 years ago
• lixiaotong97 / DSU
  [ICLR 2022] Official pytorch implementation of "Uncertainty Modeling for Out-of-Distribution Generalization" in International Conference …
  ☆162Updated 3 years ago
• chunmeifeng / DiffTPT
  【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…
  ☆68Updated 11 months ago
• Lily-Le / EcoTTA
  This is a community implementation for the paper EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularizatio…
  ☆35Updated 2 years ago
• huanranchen / ASRNorm
  a pytorch implement of Adversarially Adaptive Normalization for Single Domain Generalization
  ☆14Updated 2 years ago
• nukezil / IOMatch
  [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization
  ☆55Updated last year
• yu-rp / Distribution-Shift-Iverson
  ☆42Updated 2 years ago
• muse1998 / Source-Free-Domain-Generalization
  An open-world scenario domain generalization code base
  ☆27Updated 2 years ago
• Yangsenqiao / vida
  [ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
  ☆71Updated last year
• ytaek-oh / daso
  Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.
  ☆73Updated 3 years ago
• gqk / LAE
  [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning
  ☆90Updated last year
• deeplearning-wisc / npos
  source code for ICLR'23 paper "Non-parametric Outlier Synthesis"
  ☆51Updated 2 years ago
• JiwonCocoder / ConMatch
  ☆30Updated 3 years ago
• tsun / LADA
  Local Context-Aware Active Domain Adaptation (ICCV 2023)
  ☆21Updated 2 years ago
• Hongbin98 / ProCA
  This repository provides the official implementation for Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain …
  ☆34Updated 3 years ago