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Found 2 papers, 2 papers with code
Learning Multi-scale Features for Foreground Segmentation
Foreground segmentation algorithms aim segmenting moving objects from the background in a robust way under various challenging scenarios.
Foreground Segmentation Using a Triplet Convolutional Neural Network for Multiscale Feature Encoding
Our network takes an RGB image in three different scales and produces a foreground segmentation probability mask for the corresponding image.
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