Scene recognition is currently one of the top-challenging research fields in computer vision.
This may be due to the ambiguity between classes: images of several scene classes may …

Nowadays, the development of big data is getting faster and faster, and the related research
on motion sensing recognition and complex systems under the background of big data is …

Abstract Recurrent Neural Networks (RNNs) have been widely used in natural language
processing and computer vision. Amongst them, the Hierarchical Multi-scale RNN (HM …

Recognizing human action in video is an important task with a wide range of applications.
Recently, motivated by the findings in human visual perception, there have been numerous …

Basketball is a sport with a wide range of complicated human movements, and the ability to
accurately identify these movements is critical in both competition and training. Training …

Group activity recognition is a challenging task because there is an exponentially large
number of semantic and geometrical relationships among individuals. This makes it difficult …

In action recognition, the dynamic image (DI) approach is recently proposed to code a video
signal to a still image. Since DI descriptor is strongly dependent on first frames, it cannot …

传统的雷达高分辨距离像(highresolutionrangeprofile, HRRP) 序列识别方法依赖于人工特征
提取, 并且现有的深度学**方法存在梯度消失问题, 导致收敛速度慢, 识别精度低. 针对上述问题 …

In view of the problems of noise and view dependency in single view skeleton data, a deep
network based on spatio-temporal attention model is proposed for recognition of view …

Recently, in computer vision, a branch of machine learning, called deep learning, has
attracted high attention due to its superior performance in various computer vision tasks …