BiSeNet V3: Bilateral segmentation network with coordinate attention for real-time semantic segmentation

Author:

Tsai Tsung-HanORCID,Tseng Yu-Wei

Funder

National Central University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference40 articles.

1. Icnet for real-time semantic segmentation on high-resolution images;Zhao,2018

2. A. Paszke, A. Chaurasia, S. Kim, Culurciello, E.: Enet: A deep neural network architecture for real-time semantic segmentation. arXiv preprint arXiv:1606.02147 (2016).

3. A. Krizhevsky, I. Sutskever, G.E. Hinton. Imagenet classification with deep convolutional neural networks. In: Pereira, F., Burges, C.J.C., Bottou, L., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems. vol. 25. Curran Associates, Inc. (2012), https://proceedings.neurips.cc/paper/2012/file/c399862d3b9d6b76c8436e924a68c45bPaper.pdf.

4. X. Li, A. You, Z. Zhu, H. Zhao, M. Yang, Yang, K., Tan, S., Tong, Y.: Semantic flow for fast and accurate scene parsing. In: European Conference on Computer Vision. pp. 775–793. Springer (2020).

5. Bisenet: Bilateral segmentation network for real-time semantic segmentation;Yu,2018

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