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URBAN-i: From urban scenes to mapping slums, transport modes, and
  pedestrians in cities using deep learning and computer vision

URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision

10 September 2018
M. Ibrahim
James Haworth
T. Cheng
    HAI
ArXivPDFHTML

Papers citing "URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision"

3 / 3 papers shown
Title
Computer vision-based analysis of buildings and built environments: A
  systematic review of current approaches
Computer vision-based analysis of buildings and built environments: A systematic review of current approaches
Małgorzata B. Starzyńska-Grześ
Robin Roussel
Sam Jacoby
Ali Asadipour
3DV
19
6
0
01 Aug 2022
WeatherNet: Recognising weather and visual conditions from street-level
  images using deep residual learning
WeatherNet: Recognising weather and visual conditions from street-level images using deep residual learning
M. Ibrahim
James Haworth
T. Cheng
14
61
0
22 Oct 2019
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust
  Semantic Pixel-Wise Labelling
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling
Vijay Badrinarayanan
Ankur Handa
R. Cipolla
SSeg
166
792
0
27 May 2015
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