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2.2 KiB
2.2 KiB
ESE VoVNet
VoVNet is a convolutional neural network that seeks to make DenseNet more efficient by concatenating all features only once in the last feature map, which makes input size constant and enables enlarging new output channel.
Read about one-shot aggregation here.
{% include 'code_snippets.md' %}
How do I train this model?
You can follow the timm recipe scripts for training a new model afresh.
Citation
@misc{lee2019energy,
title={An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection},
author={Youngwan Lee and Joong-won Hwang and Sangrok Lee and Yuseok Bae and Jongyoul Park},
year={2019},
eprint={1904.09730},
archivePrefix={arXiv},
primaryClass={cs.CV}
}