Recurrent Neural Networks for Semantic Instance Segmentation

Bellver Miriam
Bellver Miriam
Campos Victor
Campos Victor
Torres Jordi
Torres Jordi
Cited by: 22|Views17
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We observed coherent patterns in the order of the predictions that depend on the input image, suggesting that the model makes use of its previous predictions to reason about the object to be detected

Abstract:

We present a recurrent model for semantic instance segmentation that sequentially generates binary masks and their associated class probabilities for every object in an image. Our proposed system is trainable end-to-end from an input image to a sequence of labeled masks and, compared to methods relying on object proposals, does not requ...More

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