UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation

1 code implementation • ICCV 2019 • Jogendra Nath Kundu, Nishank Lakkakula, R. Venkatesh Babu

In this paper, we propose UM-Adapt - a unified framework to effectively perform unsupervised domain adaptation for spatially-structured prediction tasks, simultaneously maintaining a balanced performance across individual tasks in a multi-task setting.

Multi-Task Learning Representation Learning +2