Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)
β151Aug 25, 2024Updated last year
Alternatives and similar repositories for RevisitingCIL
Users that are interested in RevisitingCIL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- π PILOT: A Pre-trained Model-Based Continual Learning Toolboxβ576Jan 29, 2026Updated 3 months ago
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)β61Jul 3, 2025Updated 10 months ago
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power β¦β54Aug 17, 2024Updated last year
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.β84Apr 1, 2025Updated last year
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"β160Oct 5, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer β’ AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Official repository for "CLIP model is an Efficient Continual Learner".β109Dec 13, 2022Updated 3 years ago
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning οΌCVPR 2025οΌβ36Jan 28, 2026Updated 3 months ago
- Class-Incremental Learning: A Survey (TPAMI 2024)β279Nov 7, 2024Updated last year
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)β91Nov 15, 2024Updated last year
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paperβ58Feb 15, 2025Updated last year
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22β204Oct 14, 2023Updated 2 years ago
- Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ β¦β475Jul 30, 2024Updated last year
- π π A curated list of awesome papers for incremental learning with pre-trained modelsβ57Jun 9, 2025Updated 11 months ago
- β[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Predictionβ31Oct 29, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer β’ AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- PyCIL: A Python Toolbox for Class-Incremental Learningβ1,080Jan 29, 2026Updated 3 months ago
- Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022β148Jun 30, 2022Updated 3 years ago
- The code repository for "Task-Agnostic Guided Feature Expansion for Class-Incremental Learning" (CVPR25)β26Dec 31, 2025Updated 4 months ago
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22β127Feb 12, 2023Updated 3 years ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorchβ69Jan 14, 2024Updated 2 years ago
- The code repository for "Co-Transport for Class-Incremental Learning" (ACM MM'21) in PyTorch.β13Dec 24, 2021Updated 4 years ago
- Awesome Few-Shot Class-Incremental Learningβ250Jan 14, 2024Updated 2 years ago
- Generative Multi-modal Models are Good Class Incremental Learners, CVPR 2024 [PyTorch Code]β51Nov 21, 2024Updated last year
- The code repository for "Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning" (ICML24)β11Jun 7, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient β’ AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learningβ112Mar 13, 2025Updated last year
- [AAAI 2025] The code repository for "MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.β56Apr 17, 2025Updated last year
- Official implementation of "Mixture of Experts Meets Prompt-Based Continual Learning" (NeurIPS 2024)β45Aug 1, 2025Updated 9 months ago
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorchβ47Mar 21, 2023Updated 3 years ago
- Code for "Class-Incremental Learning for Action Recognition in Videos", ICCV 2021β21Oct 14, 2022Updated 3 years ago
- Official repository for Do Pre-trained Models Benefit Equally in Continual Learning? (Accepted to WACV'23)β26Oct 20, 2024Updated last year
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)β139Oct 31, 2023Updated 2 years ago
- Official code repo for CVPR 2024 Paper: Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformerβ29Aug 10, 2025Updated 9 months ago
- [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuningβ93Oct 9, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI β’ AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- The implementation for ICLR2023 paper: "BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion" in PyTorch.