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Uncertainty Driven Active Learning for Image Segmentation in Underwater Inspection
In addition, HyperSeg is trained with a pipeline inspection dataset of over 50, 000 images.
Uncalibrated Non-Rigid Factorisation by Independent Subspace Analysis
The word general refers to an approach that recovers the non-rigid affine structure and motion from 2D point correspondences by assuming that (1) the non-rigid shapes are generated by a linear combination of rigid 3D basis shapes, (2) that the non-rigid shapes are affine in nature, i. e., they can be modelled as deviations from the mean, rigid shape, (3) and that the basis shapes are statistically independent.
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