Alternatives and similar repositories for TTAC2

Users that are interested in TTAC2 are comparing it to the libraries listed below

• gaozhengqing / UniEnt
  PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"
  ☆32Updated last year
• mr-eggplant / SAR
  Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World
  ☆201Updated 2 years ago
• Jhyun17 / DeYO
  ☆30Updated last year
• Hongbin98 / ProCA
  This repository provides the official implementation for Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain …
  ☆34Updated 3 years ago
• DawnLIU35 / FSCIL-ASP
  Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)
  ☆34Updated last year
• lingeringlight / DomainDrop
  The official implementation for DomainDrop (ICCV 2023).
  ☆51Updated 2 years ago
• BIT-DA / RoTTA
  [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899
  ☆69Updated 2 years ago
• Gorilla-Lab-SCUT / TTAC
  [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
  ☆49Updated 2 years ago
• yfzhang114 / Environment-Label-Smoothing
  This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…
  ☆60Updated 3 years ago
• matsuolab / T3A
  This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…
  ☆105Updated 4 years ago
• mariodoebler / test-time-adaptation
  A repository and benchmark for online test-time adaptation.
  ☆268Updated 8 months ago
• yuyongcan / Benchmark-TTA
  ☆64Updated last year
• yuanyige / tea
  [CVPR 2024] TEA: Test-time Energy Adaptation
  ☆71Updated last year
• BaiShuanghao / Prompt-based-Distribution-Alignment
  [AAAI 2024] Prompt-based Distribution Alignment for Unsupervised Domain Adaptation
  ☆79Updated last year
• LAMDA-CL / TPAMI-Limit
  The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023)
  ☆38Updated 2 years ago
• wangkiw / TEEN
  The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch
  ☆69Updated 2 years ago
• jeff024 / PALM
  This is official code repository for "Learning with Mixture of Prototypes for Out-of-Distribution Detection", accepted at ICLR2024
  ☆34Updated last year
• mr-eggplant / FOA
  Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes
  ☆95Updated last year
• Luoyadan / SF-PGL
  This work is the official Pytorch implementation of our papers: Source-Free Progressive Graph Learning for Open-Set Domain Adaptation (T…
  ☆28Updated 2 years ago
• qinenergy / cotta
  [CVPR 2022] Official CoTTA Code for our paper Continual Test-Time Domain Adaptation
  ☆305Updated last year
• NeurAI-Lab / DARE
  Official Repository for the ICML 2024 paper "Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method"
  ☆15Updated last year
• Estrella-fugaz / CVPR25-DUCT
  Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning （CVPR 2025）
  ☆30Updated last week
• SakurajimaMaiii / TSD
  [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation
  ☆48Updated 2 months ago
• FanZhichen / NCD-IIC
  [CVPR 2023] Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery
  ☆27Updated 2 years ago
• Albert0147 / AaD_SFDA
  Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'
  ☆73Updated last year
• mr-eggplant / EATA
  Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting
  ☆135Updated 2 years ago
• zhoujiahuan1991 / CVPR2024-FCS
  [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning
  ☆16Updated 9 months ago
• nazmul-karim170 / C-SFDA
  [CVPR 2023] Official Implementation of "C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adap…
  ☆28Updated 11 months ago
• MattiaLitrico / Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-Adaptation
  Code for "Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-Adaptation" (CVPR 2023)
  ☆103Updated last month
• sun-hailong / CVPR24-Ease
  [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.
  ☆80Updated 10 months ago