chu0802 / SnDLinks
This is an official implementation of our work, Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models, accepted to ECCV'24
☆17Updated 4 months ago
Alternatives and similar repositories for SnD
Users that are interested in SnD are comparing it to the libraries listed below
Sorting:
- [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models☆56Updated last year
- [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models☆45Updated 10 months ago
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆58Updated 7 months ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆114Updated last year
- Code for our NeurIPS´24 paper☆38Updated last year
- ☆49Updated 10 months ago
- [ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation☆71Updated last year
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆36Updated 7 months ago
- Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".☆47Updated last year
- External Knowledge Injection for CLIP-Based Class-Incremental Learning (ICCV 2025)☆51Updated 2 months ago
- The official PyTorch implementation of CVPR2025 paper "Language Guided Concept Bottleneck Models for Interpretable Continual Learning"☆30Updated 7 months ago
- Awsome of VLM-CL. Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting☆149Updated this week
- [ICLR 2024] Test-Time RL with CLIP Feedback for Vision-Language Models.☆98Updated 3 months ago
- ☆21Updated last month
- ☆32Updated 11 months ago
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆20Updated 2 months ago
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆80Updated last year
- [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization☆110Updated last year
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆51Updated last year
- [ICLR2024] SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning☆37Updated 10 months ago
- ☆43Updated last year
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆103Updated 10 months ago
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆70Updated last year
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆107Updated last year
- Official code repo for CVPR 2024 Paper: Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer☆28Updated 5 months ago
- [ICLR 2025] Official Implementation of Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection☆51Updated 6 months ago
- Pytorch implementation for "Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning" (ICML 2024)☆24Updated 8 months ago
- [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning☆92Updated last year
- [ECCV2024] PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery☆30Updated 10 months ago
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆95Updated last year