Awesome-Continual-Test-Time-Adaptation

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Awesome-Continual-Test-Time-Adaptation

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A repository of papers and research works on Continual Test Time Adaptation (CTTA), primarily featuring published articles in the field.

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# Awesome-Continual-Test-Time-Adaptation
*Star the repo to show support!* ✨

## 📒 Overview  
This repository systematically organizes research advancements in CTTA, primarily featuring published articles in this rapidly evolving field.  
Deep learning models often struggle when deployed in real-world settings with non-stationary environments. Developing techniques for continual adaptation during unsupervised deployment is essential for reliable machine perception systems.  
This repo serves as a **community-driven hub** for:  
- 📈 **Tracking progress**: Documenting the evolution of CTTA methods through a chronological timeline.
- 🔍 **Organizing approaches**: Categorizing methods by technical approaches.
- 👏 **Fostering collaboration**: Encouraging open discussions and contributions.

# 📰 Table of Contents

- [Timeline](#-timeline)
    - [2025](#2025)
    - [2024](#2024)
    - [2023](#2023)
    - [2022](#2022)
    
- [Technical Approaches](#-technical-approaches)
    - [Parameter Recovery or Regularization](#parameter-recovery-or-regularization)
    - [Sample Filtering](#sample-filtering)
    - [Contrastive Learning](#contrastive-learning)
    - [Buffer-enhanced](#buffer-enhanced)
    - [PEFT-based](#peft-based)
    - [Reconstruction](#reconstruction)
    - [Warm-up based (need source data)](#warm-up-based-need-source-data)
    - [Relationship-guided](#relationship-guided)

- [Related Resources](#-related-resources)
 - [Contact and Acknowledgments](#-contact-and-acknowledgments)
   
# 📅 [Timeline](#-timeline)
*Sorted chronologically (newest first).*

### [2025](#2025)
|Year|Venue|Paper Title|Code/Project|
|:-:|:-:|-|:-:|
|2025|CVPR|Maintaining Consistent Inter-Class Topology in Continual Test-Time Adaptation|[Code](https://github.com/Successybbdwm/TCA)|
|2025|CVPR|Unsupervised Continual Domain Shift Learning with Multi-Prototype Modeling|N/A|

### [2024](#2024)
|Year|Venue|Paper Title|Code/Project|
|:-:|:-:|-|:-:|
|2024|ECCV|[Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation](https://arxiv.org/abs/2407.09367)|[Code](https://github.com/z1358/OBAO)|
|2024|CVPR|[Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation](https://arxiv.org/abs/2311.18363)|[Code](https://github.com/Chen-Ziyang/VPTTA)|
|2024|CVPR|[Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation](https://arxiv.org/abs/2312.12480)|[Code](https://github.com/RanXu2000/continual-mae)|
|2024|CVPR|[A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability](https://openaccess.thecvf.com/content/CVPR2024/html/Yang_A_Versatile_Framework_for_Continual_Test-Time_Domain_Adaptation_Balancing_Discriminability_CVPR_2024_paper.html)|N/A|
|2024|CVPR|[BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation](https://arxiv.org/abs/2402.08712)|[Code](https://github.com/daeunni/becotta)|
|2024|ICASSP|[Diversity-aware Buffer for Coping with Temporally Correlated Data Streams in Online Test-time Adaptation](https://arxiv.org/abs/2401.00989)|N/A|
|2024|ICRA|[Distribution-Aware Continual Test Time Adaptation for Semantic Segmentation](https://arxiv.org/abs/2309.13604)|[Code](https://github.com/RochelleNi/DAT)|
|2024|ICLR|[ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation](https://arxiv.org/abs/2306.04344)|[Code](https://github.com/Yangsenqiao/vida)|
|2024|WACV|[Effective Restoration of Source Knowledge in Continual Test Time Adaptation](https://arxiv.org/abs/2311.04991)|N/A|
|2024|WACV|[Continual Test-time Domain Adaptation via Dynamic Sample Selection](https://openaccess.thecvf.com/content/WACV2024/papers/Wang_Continual_Test-Time_Domain_Adaptation_via_Dynamic_Sample_Selection_WACV_2024_paper.pdf)|N/A|
|2024|BMVC|[AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation](https://arxiv.org/abs/2309.10109)|N/A|
|2024|IJCAI|[Navigating Continual Test-time Adaptation with Symbiosis Knowledge](https://www.ijcai.org/proceedings/2024/0589.pdf)|N/A|

# 📍 [Related Resources](#-related-resources)
- [SUSI-Lab Awesome-Continual-Test-Time-Adaptation](https://github.com/SUSI-Lab/Awesome-Continual-Test-Time-Adaptation)
- [Yangsenqiao Awesome-Continual-Test-Time-Adaptation](https://github.com/Yangsenqiao/Awesome-Continual-Test-Time-Adaptation)

# 📧 [Contact and Acknowledgments](#-contact-and-acknowledgments)
Feel free to contact me (visiongroupzzl@gmail.com) if you find any interesting paper is missing.  
*Acknowledgments: This repo builds on the efforts of the open-source community. We appreciate everyone's contributions.*

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