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Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot.
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This work demonstrates a pipeline for fast instance segmentation learning designed for robotic applications where data come in stream. The main contributions are a modified version of Mask-RCNN and training protocol specifically designed to allow feature extraction to happen on-line during data acquisition.
Details of the work are reported in the paper: Ceola, F., Maiettini, E., Pasquale, G., Manti G., Rosasco, L. and Natale, L., "Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot", IEEE Transactions on Robotics, 2022.
Details of the work are reported in the paper: Ceola, F., Maiettini, E., Pasquale, G., Manti G., Rosasco, L. and Natale, L., "Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot", IEEE Transactions on Robotics, 2022.
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Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot.
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