DTS-Net: Depth-to-Space Networks for Fast and Accurate Semantic Object Segmentation

We propose Depth-to-Space Net (DTS-Net), an effective technique for semantic segmentation using the efficient sub-pixel convolutional neural network. This technique is inspired by depth-to-space (DTS) image reconstruction, which was originally used for image and video super-resolution tasks, combine...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Hatem Ibrahem, Ahmed Salem, Hyun-Soo Kang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2022-01-01
Sarja:	Sensors
Aiheet:	convolutional neural networks semantic segmentation real-time computer vision
Linkit:	https://www.mdpi.com/1424-8220/22/1/337
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