KU-VGI / PriViLege
[CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
☆50Updated 8 months ago
Alternatives and similar repositories for PriViLege:
Users that are interested in PriViLege are comparing it to the libraries listed below
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆88Updated 9 months ago
- Code for our NeurIPS´24 paper☆32Updated 6 months ago
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆101Updated last year
- Official implementation of the "Multimodal Parameter-Efficient Few-Shot Class Incremental Learning" paper☆23Updated last year
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆33Updated 3 weeks ago
- [CVPR 2024] Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification☆31Updated last year
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆27Updated 9 months ago
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆42Updated last year
- Official repository for "CLIP model is an Efficient Continual Learner".☆95Updated 2 years ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆95Updated last year
- The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.☆70Updated last month
- [ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models☆71Updated 11 months ago
- CVPR2023: AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning☆15Updated last year
- ☆40Updated last month
- ☆20Updated last year
- [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models☆46Updated 10 months ago
- [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models☆40Updated last month
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆98Updated 7 months ago
- ☆22Updated 2 months ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆54Updated last year
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆90Updated last year
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆35Updated 2 months ago
- [CVPR 2023] Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning☆70Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆65Updated last year
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆95Updated 9 months ago
- ☆21Updated 4 months ago
- [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…☆72Updated last week
- Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687☆93Updated 2 years ago
- Domain Generalization through Distilling CLIP with Language Guidance☆29Updated last year
- [NeurIPS 2023] Meta-Adapter☆48Updated last year