matsuolab / T3A
This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2021, Spotlight)
☆96Updated 3 years ago
Alternatives and similar repositories for T3A:
Users that are interested in T3A are comparing it to the libraries listed below
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆116Updated last year
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆176Updated last year
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"☆97Updated 2 years ago
- ☆63Updated last year
- code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"☆79Updated last year
- [ICML23] On Pitfalls of Test-Time Adaptation☆113Updated 11 months ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆85Updated 11 months ago
- ☆23Updated 2 years ago
- The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"☆44Updated last year
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆68Updated 3 months ago
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆65Updated 3 years ago
- The official implementation of our work CoSDA: Continual Source-Free Domain Adaptation.☆39Updated last year
- ☆92Updated 2 years ago
- ☆32Updated 4 months ago
- ☆47Updated last year
- [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899☆59Updated last year
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆36Updated last year
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆70Updated 7 months ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆38Updated last year
- ☆55Updated 11 months ago
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆77Updated last year
- This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…☆59Updated 2 years ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆39Updated last year
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆54Updated 3 years ago
- ☆45Updated 3 years ago
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆59Updated 2 years ago
- code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'☆104Updated 2 years ago
- [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation☆46Updated 9 months ago
- Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'☆75Updated 2 years ago
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆68Updated 2 years ago