zzzx1224 / Beyond-model-adaptation-at-test-time-PapersLinks
☆39Updated 8 months ago
Alternatives and similar repositories for Beyond-model-adaptation-at-test-time-Papers
Users that are interested in Beyond-model-adaptation-at-test-time-Papers are comparing it to the libraries listed below
Sorting:
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆191Updated last year
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆81Updated 10 months ago
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆27Updated 10 months ago
- [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning☆88Updated 9 months ago
- ☆20Updated last year
- [ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation☆67Updated last year
- The official pytorch implemention of our CVPR-2024 paper "MMA: Multi-Modal Adapter for Vision-Language Models".☆73Updated 2 months ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆128Updated 2 years ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆101Updated last year
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆80Updated last year
- 🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"☆28Updated 3 months ago
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆74Updated last year
- Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"☆111Updated last year
- A repository and benchmark for online test-time adaptation.☆237Updated last month
- ☆34Updated 9 months ago
- Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment, arXiv 2024 / CVPR 2025☆30Updated 4 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
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated 8 months ago
- [ICML 2023] On Pitfalls of Test-Time Adaptation☆119Updated last year
- [CVPR 2024] TEA: Test-time Energy Adaptation☆67Updated last year
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆64Updated 6 months ago
- Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".☆42Updated last year
- ☆62Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆66Updated last year
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆53Updated last year
- ☆19Updated 9 months ago
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆85Updated 4 months ago
- ☆53Updated last year
- [ICLR 2024] - Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning☆28Updated last month
- PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022☆85Updated last year