Recurrent neural networks (RNNs) have been widely adopted in research areas concerned
with sequential data, such as text, audio, and video. However, RNNs consisting of sigma …

循环神经网络是神经网络序列模型的主要实现形式, 近几年得到迅速发展, 其是机器翻译,
机器问题回答, 序列视频分析的标准处理手段, 也是对于手写体自动合成, 语音处理和图像生成等 …

Referring expression image segmentation aims to segment out the object referred by a
natural language query expression. Without considering the specific properties of visual and …

Metastasis detection of lymph nodes in Whole-slide Images (WSIs) plays a critical role in the
diagnosis of breast cancer. Automatic metastasis detection is a challenging issue due to the …

Human pose estimation (ie, locating the body parts/joints of a person) is a fundamental
problem in human-computer interaction and multimedia applications. Significant progress …

This paper proposes a novel Hierarchical Parsing Net (HPN) for semantic scene parsing.
Unlike previous methods, which separately classify each object, HPN leverages global …

Scene Parsing is a challenging task in computer vision, which can be formulated as a pixel-
wise classification problem. Existing deep-learning-based methods usually use one general …

Semantic image parsing, which refers to the process of decomposing images into semantic
regions and constructing the structure representation of the input, has recently aroused …

In this paper, we present an approach for Recurrent Iterative Gating called RIGNet. The core
elements of RIGNet involve recurrent connections that control the flow of information in …

Breast cancer is one of the leading causes of death by cancer in women, and it often
requires accurate detection of metastasis in lymph nodes through Whole-slide Images …