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LCD: Logits-with-Correlation-Based Distillation for Class Incremental Learning with Few Initial Classes

This is the implementation of our LCD methd (Logits-with-Correlation-Based Distillation for Class Incremental Learning with Few Initial Classes). (This repository is building....)

algorithm

Requirements

  1. PyTorch 1.12.0

Datasets

Four natural image datasets (including CIFAR10, EMNIST-Balanced, CIFAR100, and ImageNet100) and four medical image datasets (including COVID19, Medical MNIST, HAM10000, and PBC) are used for comparison.

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