MIV-XJTU / DKTLinks
☆16Updated 2 years ago
Alternatives and similar repositories for DKT
Users that are interested in DKT 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.☆75Updated 4 months ago
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆14Updated 4 months ago
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆119Updated 2 years ago
- Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning☆27Updated 2 years ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆64Updated last year
- ☆33Updated 2 years ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆145Updated last year
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆49Updated last year
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆196Updated last year
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆101Updated 11 months ago
- [ICCV 2023] Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning☆26Updated 8 months ago
- Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"☆164Updated 4 years ago
- ☆13Updated 2 years ago
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆32Updated last year
- Code for 2023 ICCV paper 'Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection'☆43Updated 6 months ago
- ☆22Updated last year
- Official implementation of CVPR 2023 paper Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation.☆38Updated 2 years ago
- ☆16Updated 11 months ago
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆40Updated 9 months ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆52Updated 6 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆149Updated last year
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆42Updated last month
- This is an official PyTorch implementation of CBA: Improving Online Continual Learning via Continual Bias Adaptor.☆16Updated last year
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆132Updated last year
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆86Updated 9 months ago
- CVPR2023: AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning☆15Updated 2 years ago
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆26Updated 3 years 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
- ☆31Updated 11 months ago