shiyegao / DDA
Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"
☆75Updated last year
Alternatives and similar repositories for DDA:
Users that are interested in DDA are comparing it to the libraries listed below
- The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization☆71Updated last year
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆113Updated last year
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆172Updated last year
- ☆30Updated 3 months ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆96Updated 3 years ago
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆65Updated 10 months ago
- ☆42Updated last year
- Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".☆40Updated 8 months ago
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆45Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆63Updated last year
- This is a community implementation for the paper EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularizatio…☆28Updated last year
- [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering☆45Updated last year
- Official implementation for 'Class-Balancing Diffusion Models'☆50Updated 9 months ago
- [NeurIPS 2023] Generalized Logit Adjustment☆34Updated 10 months ago
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆57Updated last year
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆52Updated last year
- [AAAI 2024] SVDP: Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction☆24Updated 9 months ago
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆65Updated 3 years ago
- ☆62Updated last year
- Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23☆22Updated last year
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆60Updated last month
- code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"☆79Updated 11 months ago
- ☆89Updated 2 years ago
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆63Updated 5 months ago
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆20Updated 11 months ago
- [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation☆45Updated 8 months ago
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆68Updated 2 months ago
- Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687☆90Updated 2 years ago
- The official github repo for "Test-Time Training with Masked Autoencoders"☆80Updated last year
- ☆51Updated 2 years ago