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.
☆9Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for AETTA
- [AAAI 2024] SVDP: Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction☆24Updated 6 months ago
- [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation☆41Updated 4 months ago
- [ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation☆52Updated 6 months ago
- [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering☆45Updated last year
- [CVPR 2024] Open-Set Domain Adaptation for Semantic Segmentation☆29Updated 3 months ago
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆17Updated 2 months ago
- Official code for the CVPR23 paper: "Improved Test-Time Adaptation for Domain Generalization"☆31Updated 4 months ago
- Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation (CVPR-2024)☆14Updated 4 months ago
- ☆40Updated last year
- [CVPR 2024] TEA: Test-time Energy Adaptation☆51Updated 8 months ago
- [ECCV 2022] Official Implementation for Unsupervised Selective Labeling for More Effective Semi-Supervised Learning☆58Updated last year
- Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"☆51Updated last year
- The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation☆22Updated 5 months ago
- [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899☆54Updated last year
- Official implementation of "CoMFormer: Continual Learning in Semantic and Panoptic Segmentation"☆39Updated last year
- PyTorch implementation of "Continual Detection Transformer for Incremental Object Detection" (CVPR 2023)☆77Updated 8 months ago
- ☆34Updated last year
- [CVPR'23] Official PyTorch implementation of Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification…☆37Updated last year
- [ICCV' 23 ORAL] Novel Scenes & Classes: Towards Adaptive Open-set Object Detection☆37Updated 7 months ago
- Semi-Supervised Domain Adaptation with Source Label Adaptation, accepted to CVPR 2023☆36Updated 4 months ago
- Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation☆16Updated 3 months ago
- This repo is a collection of AWESOME things about continual semantic segmentation, including papers, code, demos, etc. Feel free to pull …☆21Updated 2 months ago
- Safe Self-Refinement for Transformer-based Domain Adaptation (CVPR 2022)☆39Updated 2 years ago
- ☆30Updated 6 months ago
- [CVPR 2023] The official repository of our paper "Upcycling Models under Domain and Category Shift"☆32Updated 7 months ago
- <Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data> in NIPS 2021☆48Updated 2 years ago
- Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation. ECCV 2022☆45Updated 2 years ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆61Updated 3 months ago
- Official Pytorch codebase for Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection [CVPR 2023]☆63Updated 8 months ago
- MattiaLitrico / Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-AdaptationCode for "Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-Adaptation" (CVPR 2023)☆82Updated last year