A Real-time Fire Segmentation Method Based on A Deep Learning Approach

1 code implementation • IFAC-PapersOnLine 2022 • Mengna Li, Youmin Zhang, Lingxia Mu, Jing Xin, Ziquan Yu, Shangbin Jiao, Han Liu, Guo Xie, Yi Yingmin

Different from deeplabv3+, in order to improve the segmentation speed, this paper uses the lightweight network mobilenetv3 to build a new deep convolutional neural network and does not use atrous convolution, but it will affect the segmentation accuracy.

Real-Time Semantic Segmentation Segmentation