Recurrent Neural Networks for Semantic Instance Segmentation

Miriam Bellver
Miriam Bellver
Manel Baradad
Manel Baradad
Xavier Giró i Nieto
Xavier Giró i Nieto

arXiv: Computer Vision and Pattern Recognition, Volume abs/1712.00617, 2017.

Cited by: 2|Views18
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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 requir...More

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