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

A self-explanatory method for the black problem on discrimination part of CNN

no code implementations • 1 Jan 2021 • Jinwei Zhao, Qizhou Wang, Wanli Qiu, Guo Xie, Wei Wang, Xinhong Hei, Deyu Meng

However, it is hard for the interpretable models to approximate the discrimination part because of the tradeoff problem between interpretability performance and generalization performance of the discrimination part.

A game method for improving the interpretability of convolution neural network

no code implementations • 21 Oct 2019 • Jinwei Zhao, Qizhou Wang, Fuqiang Zhang, Wanli Qiu, YuFei Wang, Yu Liu, Guo Xie, Weigang Ma, Bin Wang, Xinhong Hei

The reason is, we believe that: the network is essentially a perceptual model.