Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)
☆119Aug 11, 2020Updated 5 years ago
Alternatives and similar repositories for SDC-IL
Users that are interested in SDC-IL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Learning a Unified Classifier Incrementally via Rebalancing☆196Apr 23, 2021Updated 5 years ago
- Generative Feature Replay For Class-Incremental Learning☆38Apr 16, 2020Updated 6 years ago
- PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)☆471Apr 10, 2025Updated last year
- ☆76Jan 10, 2020Updated 6 years ago
- A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).☆411Oct 3, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆99Oct 3, 2023Updated 2 years ago
- ☆177Feb 21, 2022Updated 4 years ago
- pytorch implementation of Large Scale Incremental Learning☆66Aug 2, 2020Updated 5 years ago
- ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild☆80Nov 30, 2022Updated 3 years ago
- ☆62Jan 15, 2019Updated 7 years ago
- Official repository of the paper 'Essentials for Class Incremental Learning'☆41Sep 16, 2021Updated 4 years ago
- Official repository for Few-Shot Class-Incremental Learning (FSCIL)☆250Sep 20, 2020Updated 5 years ago
- ☆61Mar 23, 2022Updated 4 years ago
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆120May 13, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆77Mar 25, 2023Updated 3 years ago
- Overcoming catastrophic forgetting with hard attention to the task☆222Jan 23, 2019Updated 7 years ago
- PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"☆83Sep 20, 2023Updated 2 years ago
- A clean and simple data loading library for Continual Learning☆447Jun 25, 2023Updated 2 years ago
- Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.☆565May 26, 2023Updated 2 years ago
- Awesome Incremental Learning☆4,462Mar 18, 2026Updated 2 months ago
- Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)☆76May 5, 2019Updated 7 years ago
- ☆272Sep 29, 2021Updated 4 years ago
- Implementation for the paper "Adversarial Continual Learning" in PyTorch.☆253May 25, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Evaluate three types of task shifting with popular continual learning algorithms.☆530Apr 26, 2021Updated 5 years ago
- Pytorch implementation of End-to-End Incremental Learning [2018 ECCV Castro]☆63Feb 15, 2019Updated 7 years ago
- This is a public repository for:☆38Aug 11, 2021Updated 4 years ago
- This is the official repository for Batch Level Distillation (BLD)☆15Jan 25, 2021Updated 5 years ago
- Relevant papers in Continual Learning☆742Jul 25, 2023Updated 2 years ago
- ☆26Jul 3, 2020Updated 5 years ago
- A pytorch compatible data loader to create sequence of tasks for Continual Learning☆32Apr 14, 2020Updated 6 years ago
- Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various …☆93Oct 4, 2023Updated 2 years ago
- Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"☆170Jun 22, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official code for Modeling the Background for Incremental Learning in Semantic Segmentation https://arxiv.org/abs/2002.00718☆183Dec 8, 2022Updated 3 years ago
- Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning☆37Sep 28, 2021Updated 4 years ago
- Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"☆123Mar 19, 2020Updated 6 years ago
- A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), S…☆422May 30, 2023Updated 2 years ago
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021☆174Oct 29, 2021Updated 4 years ago
- Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019☆61Nov 18, 2020Updated 5 years ago
- Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unfo…☆124Jan 8, 2021Updated 5 years ago