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 last month
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☆25Updated 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
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆26Updated 9 months ago
- [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899☆63Updated last year
- Official Repository for the ICML 2024 paper "Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method"☆15Updated 9 months ago
- ☆60Updated last year
- [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering☆48Updated last year
- This is a community implementation for the paper EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularizatio…☆33Updated last year
- Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".☆42Updated last year
- CVPR 2024 Paper: Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer☆25Updated last year
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"☆102Updated 3 years ago
- [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation☆47Updated 2 months ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆99Updated 3 years ago
- The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization☆75Updated 2 years ago
- [AAAI 2024] SVDP: Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction☆28Updated last year
- Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).☆42Updated 2 years ago
- ☆49Updated 2 years ago
- Towards Unified and Effective Domain Generalization☆31Updated last year
- [ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation☆66Updated last year
- ☆38Updated 7 months ago
- ☆65Updated 2 years ago
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆73Updated 3 years ago
- Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23☆22Updated last year
- ☆44Updated last year
- ☆20Updated last year
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆125Updated 2 years ago
- The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"☆46Updated last year
- Semi-Supervised Domain Adaptation with Source Label Adaptation, accepted to CVPR 2023☆42Updated last year
- ☆53Updated last year
- [CVPR 2024] Open-Set Domain Adaptation for Semantic Segmentation☆43Updated 11 months ago