linlany / RAPFLinks
☆46Updated 6 months ago
Alternatives and similar repositories for RAPF
Users that are interested in RAPF are comparing it to the libraries listed below
Sorting:
- External Knowledge Injection for CLIP-Based Class-Incremental Learning (ICCV 2025)☆37Updated last month
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆44Updated 3 months ago
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆14Updated 5 months ago
- Code for our NeurIPS´24 paper☆36Updated 11 months ago
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆75Updated 6 months ago
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆88Updated 6 months ago
- ICLR2024 paper on Continual Learning☆36Updated last year
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆105Updated last year
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆151Updated 2 years ago
- Official code repo for CVPR 2024 Paper: Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer☆25Updated last month
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆104Updated last year
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆54Updated 7 months ago
- Generative Multi-modal Models are Good Class Incremental Learners, CVPR 2024 [PyTorch Code]☆49Updated 10 months ago
- [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning☆88Updated last year
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆34Updated 3 months ago
- Official implementation of the "Multimodal Parameter-Efficient Few-Shot Class Incremental Learning" paper☆23Updated last year
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆18Updated 11 months ago
- The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"☆58Updated last year
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆149Updated last year
- ☆28Updated 7 months ago
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning (CVPR 2025)☆24Updated 4 months ago
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆120Updated 2 years ago
- ☆50Updated last year
- The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation☆37Updated last year
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆91Updated 2 years ago
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆27Updated last year
- Official repository for Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning on ICCV 20…☆27Updated 11 months ago
- [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners☆51Updated last year
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆100Updated last year
- Awsome of VLM-CL. Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting☆88Updated last month