Cross-connected Networks for Multi-task Learning of Detection and Segmentation

15 May 2018Seiichiro FukudaRyota YoshihashiRei KawakamiShaodi YouMakoto IidaTakeshi Naemura

Multi-task learning improves generalization performance by sharing knowledge among related tasks. Existing models are for task combinations annotated on the same dataset, while there are cases where multiple datasets are available for each task... (read more)

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