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cs.CV2026
BoltNet: An Ultra-Lightweight Convolutional Network for On-Device Plant Species Identification
Daniel Rossi, Guido Borghi, Roberto Vezzani
Automated plant species identification from citizen-science imagery is an established, demanding fine-grained recognition problem: large taxonomic label spaces, visually similar sp…
cs.CV2025
TakuNet: an Energy-Efficient CNN for Real-Time Inference on Embedded UAV systems in Emergency Response Scenarios
Daniel Rossi, Guido Borghi, Roberto Vezzani
Designing efficient neural networks for embedded devices is a critical challenge, particularly in applications requiring real-time performance, such as aerial imaging with drones a…