Towards intelligent railway monitoring: A novel hybrid deep learning architecture for railway obstacle detection
Fig 5
Visualization of the ResNet50 architecture, which forms part of the hybrid model.
With its deep residual blocks and 3×3 convolutional layers, ResNet50 enables robust extraction of local features, making it ideal for the precise recognition of object-specific details in the track bed area.