vimar-gu / SSDLinks
[AAAI2024] Summarizing Stream Data for Memory-Restricted Online Continual Learning
☆21Updated last year
Alternatives and similar repositories for SSD
Users that are interested in SSD are comparing it to the libraries listed below
Sorting:
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆26Updated 3 years ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆64Updated last year
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆149Updated last year
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆75Updated 6 months ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆150Updated 2 years ago
- Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning☆26Updated 2 years ago
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆118Updated 2 years ago
- [ICCV 2023] Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning☆28Updated 9 months ago
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆41Updated 11 months ago
- ☆53Updated 2 years ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆104Updated last year
- Online Prototype Learning for Online Continual Learning (ICCV 2023)☆42Updated last year
- Class-Incremental Learning: A Survey (TPAMI 2024)☆264Updated 11 months ago
- ☆16Updated last year
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆18Updated last year
- ☆47Updated 6 months ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆54Updated 8 months ago
- ☆14Updated 2 years ago
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆28Updated 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
- ☆16Updated 2 years ago
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆14Updated 6 months ago
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023)☆38Updated last year
- ICLR2024 paper on Continual Learning☆36Updated last year
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆120Updated 2 years ago
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆57Updated 2 years ago
- ☆22Updated last year
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆87Updated 11 months ago
- 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
- ☆33Updated 2 years ago