Benchmarking continual learning techniques for Human Activity Recognition data. We offer interesting insights on how the performance techniques vary with a domain other than images.
☆52Nov 23, 2023Updated 2 years ago
Alternatives and similar repositories for continual-learning-benchmark
Users that are interested in continual-learning-benchmark are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- pytorch implementation of Large Scale Incremental Learning☆66Aug 2, 2020Updated 5 years ago
- Official repository of the paper 'Essentials for Class Incremental Learning'☆41Sep 16, 2021Updated 4 years ago
- ☆177Feb 21, 2022Updated 4 years ago
- [IEEE T-IP 2021] Semantics-aware Adaptive Knowledge Distillation for Cross-modal Action Recognition☆29Jan 6, 2025Updated last year
- A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).☆410Oct 3, 2023Updated 2 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Code for our CVPR 2022 workshop paper "Towards Exemplar-Free Continual Learning in Vision Transformers"☆25Jul 10, 2022Updated 3 years ago
- Model Zoos for Continual Learning (ICLR 22)☆45May 29, 2023Updated 3 years ago
- Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."☆109Jul 25, 2024Updated last year
- Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".☆16Oct 18, 2021Updated 4 years ago
- Evaluate three types of task shifting with popular continual learning algorithms.☆530Apr 26, 2021Updated 5 years ago
- Continual / incremental / lifelong learning methods implemented by PyTorch. Especially the methods based on memory replay.☆53May 8, 2023Updated 3 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Sep 9, 2022Updated 3 years ago
- A continual model for human activity recognition (called HAR-GAN). It is based on a technique called `generative replay` which two models…☆18Dec 8, 2022Updated 3 years ago
- ☆11Jan 16, 2020Updated 6 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- [PAKDD-2021] Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition☆17May 23, 2023Updated 3 years ago
- Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning…☆35Feb 10, 2023Updated 3 years ago
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆120Aug 11, 2020Updated 5 years ago
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆208Oct 12, 2021Updated 4 years ago
- Generating ActiGraph Counts from Raw Acceleration Recorded by an Alternative Monitor☆31Aug 8, 2025Updated 10 months ago
- ☆102Aug 7, 2022Updated 3 years ago
- PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (…☆81Feb 7, 2023Updated 3 years ago
- A Generic Multi-classifier Paradigm forIncremental Learning☆11Aug 22, 2020Updated 5 years ago
- Implementation of Learning without Forgetting paper☆132Mar 11, 2021Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆11May 26, 2023Updated 3 years ago
- ☆11Nov 4, 2024Updated last year
- Ensembles of Deep LSTM Learners for Human Activity Recognition using Wearables in Pytorch☆15May 22, 2019Updated 7 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Jun 24, 2019Updated 6 years ago
- A repository to keep track of literature on catastrophic forgetting☆37Mar 10, 2020Updated 6 years ago
- ICLR 2022☆18Apr 15, 2022Updated 4 years ago
- Seed repo for CVPR'21 Continual Learning Challenge☆13Apr 26, 2021Updated 5 years ago
- Generative Feature Replay For Class-Incremental Learning☆38Apr 16, 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…☆423May 30, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.☆566May 26, 2023Updated 3 years ago
- Source code "Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem." @ CVPR2020☆12Dec 8, 2022Updated 3 years ago
- PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"☆40Aug 7, 2022Updated 3 years ago
- PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)☆471Apr 10, 2025Updated last year
- Signal Level Deep Metric Learning for One-Shot Action Recognition☆22Jul 25, 2024Updated last year
- A PyTorch implementation of the ECCV 2018 publication "Memory Aware Synapses: Learning what (not) to forget"☆59Nov 12, 2019Updated 6 years ago
- Official code for paper "OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning"☆13Jun 19, 2024Updated last year