affordance segmentation 1embedded devices 1hardware-aware optimization 1neural architecture search 1real-time inference 1rgb-d integration 1
From the 1 of 2 linked papers with an AI index.
3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CV2026★ 3 cited
Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module
Simone Lugani, Edoardo Ragusa, Rodolfo Zunino +1
The deployment of deep neural networks for visual affordance segmentation on wearable robots poses may prove critical, due to some conflicting aspects of the problem. On one hand,…
cs.CV2026★ 1 cited
Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras
Edoardo Ragusa, Giovanni Paolo Canuti, Simone Lugani +2
The paper proposes hardware‑aware neural architecture search and a fine‑tuning pipeline to integrate depth data into compact RGB‑D networks for affordance segmentation on embedded…