On Class-Incremental Learning for Fully Binarized Convolutional Neural Networks
Commissariat à l'Énergie Atomique et aux Énergies Alternatives · Laboratoire d'Électronique des Technologies de l'Information · Université Grenoble Alpes · CEA Grenoble
- 2024 IEEE International Symposium on Circuits and Systems (ISCAS)
- 2024-05-19
- 3
@inproceedings{bassobert2024classincremental,
title = {On Class-Incremental Learning for Fully Binarized Convolutional Neural Networks},
author = {Yanis Basso-Bert and William Guicquéro and Anca Molnos and Romain Lemaire and Antoine Dupret},
year = {2024},
booktitle = {2024 IEEE International Symposium on Circuits and Systems (ISCAS)},
doi = {10.1109/ISCAS58744.2024.10558661},
url = {https://doi.org/10.1109/ISCAS58744.2024.10558661},
}