Recurrent Neural Networks for Semantic Instance Segmentation

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 rely...

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Bibliographische Detailangaben

Hauptverfasser:	Salvador, Amaia, Bellver, Miriam, Campos, Victor, Baradad, Manel, Marques, Ferran, Torres, Jordi, Giro-i-Nieto, Xavier
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
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