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.

Data and Resources

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

DOI retrieved: December 2, 2024

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