Jiacheng Zhang, Pingyu Wang, Zhicheng Zhao, Fei Su. Pruned-YOLO: Learning Efficient Object Detector Using Model Pruning. In Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter, editors, Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part IV. Volume 12894 of Lecture Notes in Computer Science, pages 34-45, Springer, 2021. [doi]
@inproceedings{ZhangWZS21,
title = {Pruned-YOLO: Learning Efficient Object Detector Using Model Pruning},
author = {Jiacheng Zhang and Pingyu Wang and Zhicheng Zhao and Fei Su},
year = {2021},
doi = {10.1007/978-3-030-86380-7_4},
url = {https://doi.org/10.1007/978-3-030-86380-7_4},
researchr = {https://researchr.org/publication/ZhangWZS21},
cites = {0},
citedby = {0},
pages = {34-45},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part IV},
editor = {Igor Farkas and Paolo Masulli and Sebastian Otte and Stefan Wermter},
volume = {12894},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-86380-7},
}