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MFNet-pytorch, image semantic segmentation using RGB-Thermal images

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MFNet-pytorch

this is pytorch implementation of MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes (IROS 2017). The pdf can be downloaded from HERE (Google Drive shared file).

If we upload this paper to arxiv.org in the first time, the number should be something like 1612.xxxx, but we forgot to do it! Nevertheless, we don't want it look very new (like 1806.xxxx), so... please download it from google driver if you need it.

Introduction

MFNet is a light CNN architecture for multispectral images semantic segmentation, with ~ 1/40x parameters and 6x ~ inference speed, while providing similar or higher accuracy compared to SegNet.

Requirements

  • pytorch 0.4.0
  • PIL 4.3.0
  • numpy 1.14.0
  • tqdm 4.19.4

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MFNet-pytorch, image semantic segmentation using RGB-Thermal images

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