liuyuchen-cz / F-OALLinks
This is the source code of F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning
☆10Updated 7 months ago
Alternatives and similar repositories for F-OAL
Users that are interested in F-OAL are comparing it to the libraries listed below
Sorting:
- Online Prototype Learning for Online Continual Learning (ICCV 2023)☆37Updated last year
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆13Updated last month
- Official Repository for the ICML 2024 paper "Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method"☆15Updated 8 months ago
- Official code for "Continual Learning in the Frequency Domain" (NeurIPS 2024)☆11Updated 2 months ago
- Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning☆25Updated last year
- The code repository for "Task-Agnostic Guided Feature Expansion for Class-Incremental Learning" (CVPR25)☆18Updated last month
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning （CVPR 2025）☆20Updated this week
- ☆23Updated 2 years ago
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆69Updated 2 months ago
- This repository provides the official implementation for Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain …☆33Updated 2 years ago
- ICLR2024 paper on Continual Learning☆36Updated last year
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆48Updated 9 months ago
- [ECCV 2024] Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning☆14Updated 8 months ago
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆78Updated 9 months ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆49Updated 3 months ago
- Code for "External Knowledge Injection for CLIP-Based Class-Incremental Learning"☆23Updated 2 months ago
- 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“☆100Updated 8 months ago
- The official implementation of our work CoSDA: Continual Source-Free Domain Adaptation.☆41Updated last year
- [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation☆48Updated 2 months ago
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆28Updated 10 months ago
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆15Updated 7 months ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆123Updated 2 years ago
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023)☆36Updated last year
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆23Updated 9 months ago
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆25Updated 2 years ago
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆43Updated 2 years ago
- [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm☆44Updated 4 months ago
- [TPAMI 2024] The official implementation of "Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clu…☆10Updated last year
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆60Updated last year