most citedCross-connected Networks for Multi-task Learning of Detection and Segmentation

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2018★ 4 cited

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

Seiichiro Fukuda, Ryota Yoshihashi, Rei Kawakami +3

Multi-task learning improves generalization performance by sharing knowledge among related tasks. Existing models are for task combinations annotated on the same dataset, while the…