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DAS-Net: A Lightweight Dynamic Convolution Network with Attention Gates and Deep Supervision for UAV Semantic Segmentation

Anti-UAV surveillance demands real-time pixel-level UAV localization on resource-constrained gimbal-mounted platforms, yet existing lightweight segmentation models suffer from low recall that propagates to downstream tracking failure. Building on our prior dataset of 605,045 paired visible-light and...

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Principais autores: Young Jae Kim, Sang-Chul Kim
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2026-06-01
coleção:Applied Sciences
Assuntos:
anti-UAV
semantic segmentation
lightweight network
dynamic convolution
attention gate
deep supervision
Acesso em linha:https://www.mdpi.com/2076-3417/16/11/5688
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