Yangsenqiao / vidaLinks
[ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
☆68Updated last year
Alternatives and similar repositories for vida
Users that are interested in vida are comparing it to the libraries listed below
Sorting:
- [AAAI 2024] SVDP: Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction☆28Updated last year
- This is a community implementation for the paper EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularizatio…☆34Updated 2 years ago
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆66Updated 8 months ago
- Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".☆43Updated last year
- ☆38Updated 11 months ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆105Updated last year
- [CVPR 2024] Open-Set Domain Adaptation for Semantic Segmentation☆45Updated last year
- [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models☆44Updated 6 months ago
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆101Updated last year
- Official implementation for Dynamically Instance-Guided Adaptation: A Backward-free Approach for Test-Time Domain Adaptive Semantic Segme…☆10Updated last year
- [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models☆53Updated last year
- Official code repo for CVPR 2024 Paper: Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer☆25Updated last month
- CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models☆83Updated last year
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆87Updated last year
- [CVPR 2024] TEA: Test-time Energy Adaptation☆69Updated last year
- Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)☆71Updated last year
- [CVPR 2024] Domain generalization by interpolating original feature styles with styles obtained using random descriptions in natural lang…☆51Updated 5 months ago
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆34Updated 3 months ago
- [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899☆64Updated 2 years ago
- [CVPR 2023] Diversity-Aware Meta Visual Prompting☆82Updated last year
- ☆22Updated 2 years ago
- [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"☆107Updated 3 months ago
- Official implementation of "CoMFormer: Continual Learning in Semantic and Panoptic Segmentation"☆41Updated 2 years ago
- [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering☆48Updated last year
- [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning☆88Updated 11 months ago
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated 10 months ago
- [ICML 2025] DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation☆22Updated 3 months ago
- An official code for "Endpoints Weight Fusion for Class Incremental Semantic Segmentation"☆35Updated 2 years ago
- Domain Generalization through Distilling CLIP with Language Guidance☆32Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆67Updated 2 years ago