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BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

Semantic segmentation requires both rich spatial information and sizeable receptive field. However, modern approaches usually compromise spatial resolution to achieve real-time inference speed, which leads to poor performance.

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Cite this as

Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang (2024). Dataset: BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation. https://doi.org/10.57702/hustgho6

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Changqian Yu
More Authors	Jingbo Wang Chao Peng Changxin Gao Gang Yu Nong Sang
Homepage	https://arxiv.org/abs/1804.01259