Recognizing pedestrian attributes has recently obtained increasing attention due to its great potential in person re-identification, recommendation system, and other applications. Existing methods have achieved good results, but these do not fully utilize region information the correlation between attributes. This paper aims at proposing a robust attribute recognition framework. Specifically, w...

Facial expressions carry the emotional state of human beings and are one most powerful signals for humans to express themselves. Therefore, research facial expression recognition has very important significance broad application prospects. However, in complex scenes, blurring images, interference redundant information, similarity will cause unsatisfactory recognition. In response these shortcom...

In the past decade, sarcasm detection has been intensively conducted in a textual scenario. With popularization of video communication, analysis multi-modal scenarios received much attention recent years. Therefore, detection, which aims at detecting conversations, becomes increasingly hot both natural language processing community and community. this paper, considering that is often conveyed t...

Abstract A human action recognition network (AE-HRNet) based on high-resolution (HRNet) and attention mechanism is proposed for the problem that semantic location information of features are not sufficiently extracted by convolutional networks. Firstly, channel (ECA) module spatial (ESA) introduced; this basis, new base (EABasic) bottleneck (EANeck) modules constructed to reduce computational c...

In today’s modern communication society, the authenticity of digital media has never been such importance as it is now. this aspect, reliability images paramount because can be easily manipulated by means sophisticated software, Photoshop. Splicing tampering a commonly used photographic manipulation for modifying images. Detecting splicing remains challenging task in area image forensics. A new...