SUSI-Lab / Awesome-Continual-Test-Time-AdaptationLinks
☆41Updated last year
Alternatives and similar repositories for Awesome-Continual-Test-Time-Adaptation
Users that are interested in Awesome-Continual-Test-Time-Adaptation are comparing it to the libraries listed below
Sorting:
- Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".☆45Updated last year
- [ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation☆71Updated last year
- This is a community implementation for the paper EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularizatio…☆35Updated 2 years ago
- ☆47Updated 8 months ago
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆31Updated last year
- [AAAI 2024] SVDP: Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction☆31Updated last year
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆91Updated last year
- ☆45Updated last year
- [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899☆67Updated 2 years ago
- [CVPR 2024] TEA: Test-time Energy Adaptation☆71Updated last year
- [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning☆90Updated last year
- [CVPR 2024] Open-Set Domain Adaptation for Semantic Segmentation☆52Updated last year
- [ICML 2025] DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation☆24Updated last month
- [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation☆48Updated 2 weeks ago
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆100Updated 8 months ago
- ICLR2024 paper on Continual Learning☆37Updated last year
- The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization☆78Updated 2 years ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆110Updated last year
- ☆55Updated last year
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆134Updated 2 years ago
- This is an official implementation of our work, Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on V…☆16Updated 2 months ago
- [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering☆48Updated 2 years ago
- Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation☆17Updated last year
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆150Updated last year
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆68Updated 10 months ago
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆199Updated 2 years ago
- [CVPR 2022] Official CoTTA Code for our paper Continual Test-Time Domain Adaptation☆294Updated last year
- Official code repo for CVPR 2024 Paper: Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer☆28Updated 3 months ago
- Domain Generalization through Distilling CLIP with Language Guidance☆33Updated 2 years ago
- The official pytorch implemention of our CVPR-2024 paper "MMA: Multi-Modal Adapter for Vision-Language Models".☆92Updated 7 months ago