Feature pyramid network with multi-scale prediction fusion for real-time semantic segmentation

Author:

Quyen Toan Van,Kim Min Young

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference46 articles.

1. Cgnet: A light-weight context guided network for semantic segmentation;Wu;IEEE Trans. Image Process.,2020

2. G. Li, I. Yun, J. Kim, J. Kim, Dabnet: Depth-wise asymmetric bottleneck for real-time semantic segmentation, arXiv preprint arXiv:1907.11357 (2019).

3. Espnetv2: A light-weight, power efficient, and general purpose convolutional neural network;Mehta,2019

4. Relaxnet: Residual efficient learning and attention expected fusion network for real-time semantic segmentation;Liu;Neurocomputing,2022

5. Mfnet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes;Ha,2017

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