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Aug, 2017
视觉属性多任务分类的课程学习
Curriculum Learning for Multi-Task Classification of Visual Attributes
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Nikolaos Sarafianos, Theodore Giannakopoulos, Christophoros Nikou, Ioannis A. Kakadiaris
TL;DR
介绍了一种新颖的方法,在视觉属性分类框架中结合多任务和课程学习的优点,在各个任务之间迁移知识来提高学习速度,该方法在公开数据集上取得了最新的表现。
Abstract
visual attributes
, from simple objects (e.g., backpacks, hats) to
soft-biometrics
(e.g., gender, height, clothing) have proven to be a powerful representational approach for many applications such as image descri
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