Image captioning attempts to generate a description given an image, usually taking
Convolutional Neural Network as the encoder to extract the visual features and a sequence …

Image captioning enables people to better understand images through fine-grained
analysis. Recently the encoder-decoder architecture with attention mechanism has achieved …

Image captioning transforms complex visual information into abstract natural language for
representation, which can help computers understanding the world quickly. However, due to …

Question-answering (QA) that comes naturally to humans is a critical component in
seamless human-computer interaction. It has emerged as one of the most convenient and …

In current era, by the arrival mobile Internet, the quantity of statistics and available data in the
system is increasing drastically, particularly moderately structured and partially structured …

针对现有图像语义理解模型存在描述不充分以及视觉属性冗余的问题, 提出了一种带有视觉三元
组标签且能够挖掘潜在信息的图像语义理解模型VT-BLSTM. 首先, 使用卷积神经网络提取图像 …