taeckyung / AETTALinks
This is the PyTorch Implementation of "AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation (CVPR '24)" by Taeckyung Lee, Sorn Chottananurak, Taesik Gong, and Sung-Ju Lee.
☆13Updated 2 weeks ago
Alternatives and similar repositories for AETTA
Users that are interested in AETTA are comparing it to the libraries listed below
Sorting:
- [AAAI 2024] Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization☆24Updated last month
- [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899☆63Updated last year
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆23Updated 9 months ago
- ☆44Updated last year
- [CVPR 2024] Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification☆31Updated last year
- [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation☆48Updated 2 months ago
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆22Updated last year
- ☆60Updated last year
- An open-world scenario domain generalization code base☆26Updated 2 years ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆98Updated 3 years ago
- ☆36Updated 7 months ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆123Updated 2 years ago
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆78Updated 9 months ago
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆72Updated 2 years ago
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"☆102Updated 3 years ago
- Towards Unified and Effective Domain Generalization☆31Updated last year
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆185Updated last year
- The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"☆45Updated last year
- The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization☆75Updated 2 years ago
- [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering☆48Updated last year
- Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).☆42Updated 2 years ago
- CVPR 2024 Paper: Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer☆24Updated last year
- Official code for the CVPR23 paper: "Improved Test-Time Adaptation for Domain Generalization"☆34Updated 4 months ago
- 🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"☆26Updated last month
- [ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation☆65Updated last year
- This is a community implementation for the paper EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularizatio…☆33Updated last year
- Semi-Supervised Domain Adaptation with Source Label Adaptation, accepted to CVPR 2023☆42Updated 11 months ago
- Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23☆22Updated last year
- [ECCV 2022] The official repository of our paper "BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free D…☆31Updated 2 years ago
- Official Repository for the ICML 2024 paper "Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method"☆15Updated 8 months ago