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Unsupervised Monocular Depth Estimation CNN Robust to Training Data Diversity.
Valery Anisimovskiy
Andrey Shcherbinin
Sergey Turko
Ilya Kurilin
Published in:
Canadian Conference on AI (2020)
Keyphrases
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depth estimation
monocular images
training data
depth map
depth cues
stereo vision
real scenes
depth information
stereo matching
data sets
image sequences
optical flow
learning algorithm
pose estimation
vision system
model selection
super resolution
point cloud
partial occlusion
scene understanding
semi supervised
pairwise
training set
object recognition
depth estimates