Conference
Open access
2026
Semantic Segmentation in Autonomous Mobile Robots based on CNN with Fast Attention
This paper presents the development of a convolutional neural network architecture for semantic segmentation in autonomous mobile robots. The model comprises a mix of traditional CNNs and transformer-based attention modules. ResNet18 and ResNet34 are employed as backbone models with fast attention modules integrated at...
Luka Tankocić, Aleksandar Jokić, M. Petrović et al.
· PROCEEDINGS 13th Internation... · 0 citations