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Apr, 2021
大规模零样本学习的文档表示重访
Revisiting Document Representations for Large-Scale Zero-Shot Learning
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Jihyung Kil, Wei-Lun Chao
TL;DR
本文讨论了使用语义表达来识别未见过的物体，提出了一种基于文档的语义表示方法，通过半自动机制提取并加权了文档中包含的可视信息，形成了语义表示，相比现有方法在ImageNet数据集上表现更佳。
Abstract
zero-shot learning
aims to recognize unseen objects using their semantic representations. Most existing works use
visual attributes
labeled by humans, not suitable for large-scale applications. In this paper, we
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