3 papers
cs.CV2026
Accelerating Vision Foundation Models with Drop-in Depthwise Convolution
Carmelo Scribano, Mohammad Mahdi, Nedyalko Prisadnikov +5
Pretrained vision foundation models deliver strong performance across tasks with limited fine-tuning. However, their Vision Transformer (ViT) backbones impose high inference costs,…
cs.CV2026
Low-Latency Embedded Driver Monitoring System with a Multi-Task Neural Network
Carmelo Scribano, Giovanni Cappelletti, Elia Giacobazzi +3
Road traffic accidents remain a significant global concern, with the majority attributed to human factors such as driver distraction and fatigue. This study proposes a camera-based…
cs.CV2025
Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation
Carmelo Scribano, Elena Govi, Paolo Bertellini +3
Accurate mapping of agricultural field boundaries is essential for the efficient operation of agriculture. Automatic extraction from high-resolution satellite imagery, supported by…