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awesome-source-free-test-time-adaptation
A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
https://github.com/YuejiangLIU/awesome-source-free-test-time-adaptation
- Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
- TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive? - epfl/ttt-plus-plus)
- Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
- Contrastive Test-Time Adaptation
- Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning
- Test-Time Training with Masked Autoencoders
- Improved Test-Time Adaptation for Domain Generalization
- PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization
- MATE: Masked Autoencoders are Online 3D Test-Time Learners
- On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion - Li/OWTTT)
- Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation - learn/SHOT)
- Tent: Fully Test-Time Adaptation by Entropy Minimization
- Uncertainty Reduction for Model Adaptation in Semantic Segmentation - uncertainty-for-adaptation)
- Bayesian Adaptation for Covariate Shift
- Efficient Test-Time Model Adaptation without Forgetting - eggplant/EATA)
- Confidence Score for Source-Free Unsupervised Domain Adaptation - JMDS)
- Towards Stable Test-time Adaptation in Dynamic Wild World - eggplant/SAR)
- Improving robustness against common corruptions by covariate shift adaptation
- Tent: Fully Test-Time Adaptation by Entropy Minimization
- - burns/feature-alignment)
- TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
- Delta: Degradation-Free Fully Test-Time Adaptation
- Towards Stable Test-time Adaptation in Dynamic Wild World - eggplant/SAR)
- Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation - learn/SHOT)
- Generative Pseudo-label Refinement for Unsupervised Domain Adaptation
- A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data
- Uncertainty Reduction for Model Adaptation in Semantic Segmentation - uncertainty-for-adaptation)
- Adapting ImageNet-scale models to complex distribution shifts with self-learning
- Continual Test-Time Domain Adaptation
- Contrastive Test-Time Adaptation
- Test-Time Adaptation via Conjugate Pseudo-labels
- Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation
- TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
- Model Adaptation: Unsupervised Domain Adaptation Without Source Data
- Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization
- Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering - Lab-SCUT/TTAC)
- Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
- On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion - Li/OWTTT)
- SoFA: Source-data-free Feature Alignment for Unsupervised Domain Adaptation
- Adaptive Adversarial Network for Source-Free Domain Adaptation
- TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive? - epfl/ttt-plus-plus)
- Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
- Invariance Through Latent Alignment - through-latent-alignment.github.io/)
- Source-Free Domain Adaptation via Distribution Estimation
- ActMAD: Activation Matching to Align Distributions for Test-Time-Training
- Robustness to corruption in pre-trained Bayesian neural networks
- Model Adaptation: Unsupervised Domain Adaptation without Source Data
- Domain Impression: A Source Data Free Domain Adaptation Method
- Back to the Source: Diffusion-Driven Test-Time Adaptation
- Generalized Source-free Domain Adaptation - SFDA)
- Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
- Test-Time Adaptation via Self-Training with Nearest Neighbor Information
- MEMO: Test Time Robustness via Adaptation and Augmentation
- Test time Adaptation through Perturbation Robustness - WS'21
- Balancing Discriminability and Transferability for Source-Free Domain Adaptation - sfda)
- Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning
- Adaptive Risk Minimization: Learning to Adapt to Domain Shift - risk-minimization)
- Learning to Generalize across Domains on Single Test Samples - ICLR2022)
- Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts - DMoE)
- Continual Test-Time Domain Adaptation
- NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation
- Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation
- Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation
- Robust Test-Time Adaptation in Dynamic Scenarios - DA/RoTTA)
- A Probabilistic Framework for Lifelong Test-Time Adaptation
- Robust Mean Teacher for Continual and Gradual Test-Time Adaptation - time-adaptation)
- EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization
- Domain Adaptation in the Absence of Source Domain Data
- Semantic Photo Manipulation with a Generative Image Prior
- Collaborative Sampling in Generative Adversarial Networks - epfl/collaborative-gan-sampling)
- Universal Source-Free Domain Adaptation - cvpr2020)
- Adaptive Methods for Real-World Domain Generalization
- Parameter-free Online Test-time Adaptation
- Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
- MECTA: Memory-Economic Continual Test-Time Model Adaptation
- Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation
- On Pitfalls of Test-Time Adaptation - lab/ttab)
- Consistent Video Depth Estimation - Video-Depth-Estimation/)
- Self-Supervised Policy Adaptation during Deployment
- Source-Free Domain Adaptation for Image Segmentation - b/SFDA)
- Fully Test-Time Adaptation for Image Segmentation
- Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation
- Source-Free Domain Adaptation for Semantic Segmentation
- SS-SFDA: Self-Supervised Source-Free Domain Adaptation for Road Segmentation in Hazardous Environments
- Test-Time Personalization with a Transformer for Human Pose Estimation
- Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective - epfl/causalmotion)
- Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition
- MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation - labs.com/~mas/MM-TTA/)
- Source-Free Object Detection by Learning to Overlook Domain Style - Free-Object-Detection-by-Learning-to-Overlook-Domain-Style)
- On the Road to Online Adaptation for Semantic Image Segmentation
- Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing - lab/ttt_for_deep_learning_cs)
- Source-free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition
- AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation
- Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models
- TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation - lee/ttacope)
- SfM-TTR: Using Structure from Motion for Test-Time Refinement of Single-View Depth Networks - TTR)
- Video Test-Time Adaptation for Action Recognition - at.github.io/vitta)