Výsledky vyhledávání - "novel multimodal encoder–ecoder convolutional network"

Multi-modal deep network for RGB-D segmentation of clothes

Autoři: Joukovsky, Boris Joseph Hu, Pengpeng Munteanu, Adrian

Zdroj: Joukovsky, B J, Hu, P & Munteanu, A 2020, 'Multi-modal deep network for RGB-D segmentation of clothes', Electronics Letters, vol. 56, no. 9, pp. 432-435. https://doi.org/10.1049/el.2019.4150

Témata: image fusion, learning (artificial intelligence), image segmentation, image colour analysis, synthetic data, real-world data, multimodal deep network, RGB-D segmentation, clothes, deep learning, semantic segmentation, synthetic dataset, different clothing styles, semantic classes, data generation pipeline, depth images, ground-truth label maps, novel multimodal encoder–ecoder convolutional network, depth modalities, multimodal features, multiscale atrous convolutions

Dostupnost: https://research.manchester.ac.uk/en/publications/b5e06e12-d70f-44d5-8030-59cd57d31883
https://doi.org/10.1049/el.2019.4150