taeckyung / AETTA
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.
β13Updated 10 months ago
Alternatives and similar repositories for AETTA
Users that are interested in AETTA are comparing it to the libraries listed below
Sorting:
- β43Updated last year
- π₯ π₯ [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"β26Updated last month
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2β¦β98Updated 3 years ago
- [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899β61Updated last year
- [AAAI 2024] Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalizationβ24Updated last month
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"β100Updated 3 years ago
- [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clusteringβ47Updated last year
- β59Updated last year
- Official Repository for the ICML 2024 paper "Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method"β14Updated 7 months ago
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, β¦β21Updated last year
- Domain Generalization through Distilling CLIP with Language Guidanceβ29Updated last year
- [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptationβ47Updated last month
- Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"β42Updated 11 months ago
- Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).β42Updated 2 years ago
- Official code for the CVPR23 paper: "Improved Test-Time Adaptation for Domain Generalization"β33Updated 3 months ago
- [ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptationβ64Updated last year
- An open-world scenario domain generalization code baseβ26Updated 2 years ago
- The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalizationβ75Updated last year
- Code for ICML 2024 paper (Oral) β Test-Time Model Adaptation with Only Forward Passesβ77Updated 8 months ago
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"β21Updated 8 months ago
- β34Updated 6 months ago
- code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"β80Updated last year
- [CVPR 2024] Open-Set Domain Adaptation for Semantic Segmentationβ41Updated 9 months ago
- This is a community implementation for the paper EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularizatioβ¦β33Updated last year
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".β69Updated 2 years ago
- [CVPR 2024] TEA: Test-time Energy Adaptationβ64Updated last year
- Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23β22Updated last year
- [CVPR 2023] The official repository of our paper "Upcycling Models under Domain and Category Shift"β30Updated 2 weeks ago
- β63Updated last year
- CVPR 2024 Paper: Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformerβ23Updated last year