AnAppleCore / MOSELinks
Multi-level Online Sequential Experts (MOSE) for online continual learning problem. (CVPR2024)
☆23Updated 5 months ago
Alternatives and similar repositories for MOSE
Users that are interested in MOSE are comparing it to the libraries listed below
Sorting:
- Online Prototype Learning for Online Continual Learning (ICCV 2023)☆41Updated last year
- Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning☆27Updated 2 years ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆149Updated last year
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆26Updated 3 years ago
- CVPR2023: AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning☆15Updated 2 years ago
- ✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction☆32Updated 10 months ago
- Official repository for "CLIP model is an Efficient Continual Learner".☆99Updated 2 years ago
- [AAAI 2024] Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization☆26Updated 5 months ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆51Updated 7 months ago
- [ECCV 2024] Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning☆13Updated 11 months ago
- Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"☆43Updated last year
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning (CVPR 2025)☆24Updated 3 months ago
- Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning☆25Updated 2 years ago
- ☆16Updated 10 months ago
- Official code repo for CVPR 2024 Paper: Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer☆25Updated last month
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆90Updated 2 years ago
- Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".☆43Updated last year
- ☆51Updated 2 years ago
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆44Updated 2 months ago
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆87Updated last year
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆34Updated 3 months ago
- (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study☆113Updated last year
- [ICCV-2023] Heterogeneous Forgetting Compensation for Class-Incremental Learning☆12Updated last year
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆87Updated 10 months ago
- [ICLR 2024] - Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning☆29Updated 3 months ago
- ☆14Updated last year
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆46Updated 2 years ago
- A comprehensive collection of open world papers from top tier conferences and journals☆23Updated 8 months ago
- ☆29Updated last year
- Official code implementation for the paper "Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm" (CVPR…☆55Updated 5 months ago