UMT-net: A uniform multi-task network with adaptive task weighting
This article introduces a versatile multi-task learning framework (UMT-Net) and an adaptive
task weighting (ATW) training method, specifically designed for resource-constrained …
task weighting (ATW) training method, specifically designed for resource-constrained …
Learning twofold heterogeneous multi-task by sharing similar convolution kernel pairs
Q Feng, JY Yao, Y Zhong, P Li, Z Pan - Knowledge-Based Systems, 2022 - Elsevier
Heterogeneous multi-task learning (HMTL) is an important topic in multi-task learning (MTL).
Most existing HMTL methods usually solve either scenario where all tasks reside in the …
Most existing HMTL methods usually solve either scenario where all tasks reside in the …
Self-Distillation with the New Paradigm in Multi-Task Learning
A Jha, B Banerjee - … in Knowledge Distillation: Towards New Horizons of …, 2023 - Springer
We tackle the problem of multi-task learning (MTL) for solving the correlated visual dense
prediction tasks using monocular image source. With further restrictions on the model …
prediction tasks using monocular image source. With further restrictions on the model …