taeckyung / SoTTA
This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, Yewon Kim*, Taeckyung Lee*, Sorn Chottananurak, and Sung-Ju Lee (* Equal contribution).
☆20Updated last year
Alternatives and similar repositories for SoTTA:
Users that are interested in SoTTA are comparing it to the libraries listed below
- Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".☆41Updated 9 months ago
- The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"☆44Updated last year
- ☆42Updated last year
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆34Updated 7 months ago
- ☆17Updated 10 months ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated last year
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆70Updated 7 months ago
- ☆33Updated 4 months ago
- Probabilistic lifElong Test-time Adaptation with seLf-training prior (PETAL)☆13Updated last year
- [ICML23] On Pitfalls of Test-Time Adaptation☆113Updated 11 months ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆96Updated 3 years ago
- ☆55Updated 11 months ago
- ☆63Updated last year
- Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"☆110Updated last year
- Test-Time Adaptation via Conjugate Pseudo-Labels☆39Updated last year
- ☆53Updated 2 months ago
- [ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation☆61Updated 10 months ago
- Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning…☆34Updated 2 years ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆59Updated last year
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆33Updated 9 months ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated last year
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆58Updated last year
- Official Repository for the ICML 2024 paper "Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method"☆10Updated 6 months ago
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆53Updated last year
- A code framework for implementing UniDA☆24Updated last year
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆79Updated 8 months ago
- Towards Unified and Effective Domain Generalization☆30Updated last year
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆20Updated 6 months ago
- Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23☆22Updated last year
- ☆52Updated last year