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An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation.
Lorenz Berger
Eoin Hyde
M. Jorge Cardoso
Sébastien Ourselin
Published in:
MIUA (2018)
Keyphrases
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semantic segmentation
street scenes
conditional random fields
superpixels
label transfer
weakly supervised
multiscale
scene classification
object categories
image processing
computer vision
image set
object detection
small number
object class
viewpoint
pascal voc
object recognition
bayesian networks
training data