Lily-Le / EcoTTALinks
This is a community implementation for the paper EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization
☆33Updated last year
Alternatives and similar repositories for EcoTTA
Users that are interested in EcoTTA are comparing it to the libraries listed below
Sorting:
- [ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation☆65Updated last year
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆63Updated 4 months ago
- [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899☆62Updated last year
- [AAAI 2024] SVDP: Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction☆28Updated last year
- Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".☆42Updated 11 months ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆95Updated 10 months ago
- [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models☆41Updated 2 months ago
- ☆23Updated last year
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆41Updated last year
- Official implementation of "CoMFormer: Continual Learning in Semantic and Panoptic Segmentation"☆40Updated last year
- ☆52Updated last year
- ☆31Updated 8 months ago
- Official implementation for Dynamically Instance-Guided Adaptation: A Backward-free Approach for Test-Time Domain Adaptive Semantic Segme…☆10Updated last year
- Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23☆22Updated last year
- ☆17Updated 7 months ago
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆23Updated 9 months ago
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆66Updated last year
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆29Updated last year
- An open-world scenario domain generalization code base☆26Updated 2 years ago
- Distribution Aware Tuning☆14Updated 9 months ago
- Domain Generalization through Distilling CLIP with Language Guidance☆29Updated last year
- [NeurIPS 2024] Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation☆16Updated 2 months ago
- ☆44Updated last year
- [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation☆48Updated 2 months ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆121Updated 2 years ago
- [CVPR 2024] Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification☆31Updated last year
- [ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization☆33Updated last year
- [CVPR 2024] Open-Set Domain Adaptation for Semantic Segmentation☆42Updated 10 months ago
- CVPR 2024 Paper: Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer☆24Updated last year
- Model calibration in CLIP Adapters☆17Updated 9 months ago