AIGNLAI / GDDSGLinks
☆17Updated 2 weeks ago
Alternatives and similar repositories for GDDSG
Users that are interested in GDDSG are comparing it to the libraries listed below
Sorting:
- ☆12Updated last year
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆76Updated 6 months ago
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆14Updated 6 months ago
- ☆146Updated 10 months ago
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆50Updated last year
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆45Updated 3 months ago
- 🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox☆508Updated 2 months ago
- External Knowledge Injection for CLIP-Based Class-Incremental Learning (ICCV 2025)☆37Updated 2 months ago
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆56Updated 4 months ago
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning (CVPR 2025)☆24Updated 4 months ago
- ☆22Updated last year
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆92Updated 7 months ago
- Learnable drift compensation (LDC) reduces semantic drift in continual learning using a trainable projector to map between tasks.☆18Updated 11 months ago
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆33Updated last year
- The code repository for "Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning" (ICML24)☆10Updated last year
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆104Updated last year
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆198Updated 2 years ago
- Awsome of VLM-CL. Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting☆103Updated last week
- ☆33Updated last year
- This is an official PyTorch implementation of CBA: Improving Online Continual Learning via Continual Bias Adaptor.☆16Updated last year
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆64Updated last year
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆54Updated 8 months ago
- The code implementation of the <Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning> in The Co…☆13Updated 2 years ago
- ICLR2024 paper on Continual Learning☆37Updated last year
- The code repository for "Task-Agnostic Guided Feature Expansion for Class-Incremental Learning" (CVPR25)☆20Updated 6 months ago
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆41Updated 11 months ago
- Code for our NeurIPS´24 paper☆36Updated last year
- ☆47Updated 6 months ago
- ☆12Updated 9 months ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆149Updated 2 years ago