class-incremental-learning topic

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.

GMvandeVen

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

yaoyao-liu

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 (Neurocomp...

RaptorMai

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).

GMvandeVen

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

G-U-N

The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.

G-U-N

[AAAI 2022 Oral] Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection

Na-Z

Official Implementation of the ECCV 2022 Paper "Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer"

ashok-arjun

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

NeuralCollapseApplications

Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification

feyzaakyurek