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CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic Segmentation

Real-time semantic segmentation is playing a more important role in computer vision, due to the growing demand for mobile devices and autonomous driving. Therefore, it is very important to achieve a good trade-off among performance, model size and inference speed.

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Cite this as

Ange Lou, Murray Loew (2024). Dataset: CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic Segmentation. https://doi.org/10.57702/0vzmigzx

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Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Defined In	https://doi.org/10.48550/arXiv.2103.12212
Author	Ange Lou
More Authors	Murray Loew
Homepage	https://arxiv.org/abs/1905.04641