mariodoebler / test-time-adaptation
A repository and benchmark for online test-time adaptation.
☆202Updated 2 months ago
Alternatives and similar repositories for test-time-adaptation:
Users that are interested in test-time-adaptation are comparing it to the libraries listed below
- [CVPR 2022] Official CoTTA Code for our paper Continual Test-Time Domain Adaptation☆260Updated 7 months ago
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆171Updated last year
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆95Updated 3 years ago
- [ICML23] On Pitfalls of Test-Time Adaptation☆109Updated 9 months ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆92Updated 3 months ago
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆19Updated 4 months ago
- ☆25Updated 2 months ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆113Updated last year
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆106Updated last year
- A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation☆476Updated 6 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆130Updated 4 months ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆184Updated last year
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆40Updated 5 months ago
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆48Updated 11 months ago
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆74Updated last year
- ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization☆377Updated 3 years ago
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆60Updated 4 months ago
- [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation☆44Updated 6 months ago
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆66Updated last month
- Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning☆25Updated last year
- ☆12Updated last year
- The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.☆62Updated 4 months ago
- This repository provides the official implementation for Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain …☆32Updated 2 years ago
- ☆60Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆62Updated last year
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆107Updated last year
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆84Updated last year
- ☆22Updated last year
- 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)☆88Updated last year
- code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"☆78Updated 10 months ago