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The source code of DKMIl for multi-instance leanning classification.

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DKMILRepertoire

This repository holds the Pytorch implementation for the method described in the paper:

Data-Driven Knowledge Fusion for Deep Multi-Instance Learning Yu-Xuan Zhang, Zhengchun Zhou, Xingxing He, Avik Ranjan Adhikary, Bapi Dutta. IEEE Transactions on Neural Networks and Learning Systems (2024)

Data Preparation

We use two datasets in our paper for demonstration:

  1. Benchmark dataset
  2. Image dataset.

Training:

For benchmark dataset:

python main.py

For image dataset (MNIST, CIFAR10, STL10):

python main2D.py

All rights reserved.

Citation

@article{Zhang:2024:115:data,
author		=	{Zhang, Yu-Xuan and Zhou, Zhengchun and He Xingxing and Adhikary, Avik Ranjan and Dutta, Bapi},
title		=	{Data-driven knowledge fusion for deep multi-instance learning},
journal		=	{{IEEE} Transactions on Neural Networks and Learning Systems},
year		=	{2023},
pages		=	{1--15},
}

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The source code of DKMIl for multi-instance leanning classification.

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