PatrickZH / End-to-End-Incremental-Learning
Pytorch implementation of End-to-End Incremental Learning [2018 ECCV Castro]
☆63Updated 6 years ago
Alternatives and similar repositories for End-to-End-Incremental-Learning:
Users that are interested in End-to-End-Incremental-Learning are comparing it to the libraries listed below
- pytorch implementation of Large Scale Incremental Learning☆66Updated 4 years ago
- ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild☆80Updated 2 years ago
- ☆71Updated 5 years ago
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆119Updated 4 years ago
- Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."☆107Updated 9 months ago
- Learning a Unified Classifier Incrementally via Rebalancing☆189Updated 4 years ago
- ☆177Updated 3 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆97Updated last year
- End-to-End Incremental Learning☆66Updated 5 years ago
- Generative Feature Replay For Class-Incremental Learning☆37Updated 5 years ago
- PyTorch Implementation of iCaRL☆115Updated 6 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago
- ☆91Updated 3 years ago
- Tools for generating tieredImageNet dataset and processing batches☆77Updated 4 years ago
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆90Updated 3 years ago
- Codebase for "Online Continual Learning with Maximally Interfered Retrieval"☆101Updated 2 years ago
- PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"☆82Updated last year
- Official repository for Few-Shot Class-Incremental Learning (FSCIL)☆234Updated 4 years ago
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021☆160Updated 3 years ago
- ☆72Updated 2 years ago
- Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"☆120Updated 5 years ago
- ☆61Updated 3 years ago
- Continual / incremental / lifelong learning methods implemented by PyTorch. Especially the methods based on memory replay.☆53Updated last year
- Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various …☆92Updated last year
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆106Updated 4 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆105Updated 2 years ago
- Memory Aware Synapses method implementation code☆95Updated 6 years ago
- Lifelong Learning with Dynamically Expandable Networks☆20Updated 7 years ago
- pytorch simple implement for "Dynamic Few-Shot Visual Learning without Forgetting" in Jupyter Version☆42Updated 6 years ago
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆204Updated 3 years ago