BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation | VitaVision
PaperECCV 2018 (arXiv 2018) · 2018

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

Changqian YuJingbo WangChao PengChangxin GaoGang YuS. Nong
arXiv 1808.00897DOIView in graph
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ModelPrimary source of
BiSeNet

Two-branch (bilateral) CNN for real-time semantic segmentation: a wide shallow path preserves spatial detail while a deep narrow path with global pooling supplies receptive field, merged by a learned fusion module.

Cited as a reference by 1 page, grouped by domain

Segmentation 1
Fast-SCNN

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’12’13’14’15’16’17’18’19’20Fast-SCNN: Fast Semantic Segmentation Network (2019)BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation (2020)ImageNet Classification with Deep Convolutional Neural Networks (2012)Very Deep Convolutional Networks for Large-Scale Image Recognition (2014)Fully Convolutional Networks for Semantic Segmentation (2015)U-Net: Convolutional Networks for Biomedical Image Segmentation (2015)Deep Residual Learning for Image Recognition (2016)DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs (2018)