"Light-weighted Neural Networks with Attention Mechanism for Fire Detec" by Chaoqun Meng
In the past, research on fire detection has paid much attention to improvement of fire detection hardware equipment, especially the upgrade of sensors. However, the detection method based on deep neural networks is rarely mentioned. Especially the neural networks that can be embedded into the limited storage space modules. This research uses light-weighted neural networks based on MobileNet-V2 to perform classification experiments on an expanded fire detection dataset. In the experiment, the network structure was quantitatively analyzed, and the classification results were compared and analyze...
Source: uow.edu.au
