Image semantic segmentation has always been a research hotspot in the field of robots. Its
purpose is to assign different semantic category labels to objects by segmenting different …

For reducing the negative impact of the gradient diminishing on guiding long-short term
memory (gLSTM) model in image captioning, we propose a visual enhanced gLSTM model …

Context modeling is one of the most fertile sub-fields of visual recognition which aims at
designing discriminant image representations while incorporating their intrinsic and extrinsic …

Automatic image annotation is an active field of research in which a set of annotations are
automatically assigned to images based on their content. In literature, some works opted for …

Context plays a crucial role in visual recognition as it provides complementary clues for
different learning tasks including image classification and annotation. As the performances …

Due to rapid advancement in the digital display, communication and storage devices with
effective techniques are needed to organize, index, retrieve and annotate a large image …

Web image annotation has became a hot research topic owing to massive image data and
abundant semantic context. In this paper, we propose a Tri-relational Graph (TG) model for …

In order to solve the problems in the existing image semantic segmentation methods, such
as the poor segmentation accuracy of small target object and the difficulty in segmentation of …

In China's growth enterprise market, information disclosure has become the main basis for
investors to make investment decisions. A sound information disclosure system is the …

Context plays a crucial role in visual recognition as it provides complementary clues for
different learning tasks including image classification and annotation. As the performances …