linlany / RAPF
☆40Updated last month
Alternatives and similar repositories for RAPF:
Users that are interested in RAPF are comparing it to the libraries listed below
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆34Updated 2 months ago
- [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners☆50Updated 8 months ago
- CVPR2023: AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning☆15Updated last year
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆33Updated 2 weeks ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆90Updated last year
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆13Updated 2 weeks ago
- Official implementation of the "Multimodal Parameter-Efficient Few-Shot Class Incremental Learning" paper☆22Updated last year
- Generative Multi-modal Models are Good Class Incremental Learners, CVPR 2024 [PyTorch Code]☆45Updated 5 months ago
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆46Updated 8 months ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆136Updated last year
- Code for our NeurIPS´24 paper☆31Updated 6 months ago
- [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning☆83Updated 6 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
- Code for "External Knowledge Injection for CLIP-Based Class-Incremental Learning"☆21Updated last month
- ☆21Updated 4 months ago
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆27Updated 9 months ago
- Official PyTorch implementation of our ECCV2024 paper “Rethinking Few-shot Class-incremental Learning: Learning from Yourself”☆14Updated 3 months ago
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆76Updated last month
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆137Updated 8 months ago
- The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.☆70Updated last month
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆87Updated 9 months ago
- [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models☆40Updated last month
- ICLR2024 paper on Continual Learning☆35Updated last year
- CVPR 2024 Paper: Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer☆23Updated last year
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆47Updated 2 months ago
- [ICCV-2023] Heterogeneous Forgetting Compensation for Class-Incremental Learning☆12Updated last year
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆42Updated last year
- ☆53Updated 2 years ago
- ☆29Updated 7 months ago