class-incremental-learning

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GMvandeVen / continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

deep-learning artificial-neural-networks replay incremental-learning variational-autoencoder generative-models lifelong-learning distillation continual-learning elastic-weight-consolidation replay-through-feedback icarl gradient-episodic-memory class-incremental-learning task-incremental-learning domain-incremental-learning

Updated Mar 21, 2024
Jupyter Notebook

yaoyao-liu / class-incremental-learning

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PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)

continual-learning class-incremental-learning

Updated Dec 29, 2022
Python

RaptorMai / online-continual-learning

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A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).

computer-vision deep-learning convolutional-neural-networks incremental-learning lifelong-learning continual-learning catastrophic-forgetting online-continual-learning class-incremental-learning incremental-continual-learning

Updated May 30, 2023
Python

zhoudw-zdw / CIL_Survey

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Class-Incremental Learning: A Survey (TPAMI 2024)

lifelong-learning continual-learning catastrophic-forgetting class-incremental-learning

Updated Nov 7, 2024
Python

zhoudw-zdw / RevisitingCIL

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Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)

incremental-learning lifelong-learning continual-learning catastrophic-forgetting class-incremental-learning

Updated Aug 25, 2024
Python

zhoudw-zdw / CVPR22-Fact

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Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)

lifelong-learning continual-learning catastrophic-forgetting few-shot-class-incremental-learning class-incremental-learning

Updated Oct 31, 2023
Python

G-U-N / a-PyTorch-Tutorial-to-Class-Incremental-Learning

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a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.

tutorial computer-vision pytorch resnet incremental-learning pytorch-tutorial cifar100 distributed-training continual-learning class-incremental-learning

Updated Jun 10, 2022
Python

NeuralCollapseApplications / FSCIL

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[ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning"

few-shot-learning class-incremental-learning neural-collapse

Updated Aug 7, 2023
Python

yaoyao-liu / CL-DETR

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PyTorch implementation of "Continual Detection Transformer for Incremental Object Detection" (CVPR 2023)

object-detection continual-learning detr class-incremental-learning incremental-object-detection

Updated Dec 22, 2024
Python

GMvandeVen / class-incremental-learning

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PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).