Sep 13, 2019 · In order to make prediction more accurate, we proposed a novel visual sentiment analysis method that integrating local objects' region features ...
... Facial Expression Recognition (FER) is the autonomous encoding and analysis of information expressed by the human face to derive affective information [10].
The attention model discovers the correspondence between local image regions and textual visual attribute. Sentiment classifier accepts the weighted sum of ...
This paper proposes an end-to-end deep framework to effectively exploit the contributions of local regions to VSA and proposes to model the contribution of ...
This paper provides a comprehensive overview of notable advances made by deep neural networks in this field. Firstly, the basic conception of action recognition ...
Feb 10, 2017 · In this work, we study the impact of local image regions on visual sentiment analysis. Our proposed model utilizes the recent studied attention mechanism.
Missing: Object | Show results with:Object
We discover that negative sentiments are elicited by the focal region without a notable influence of con- textual information, whereas positive sentiments are.
In this work, we study the impact of local image regions on visual sentiment analysis. Our proposed model utilizes the recent studied attention mechanism to ...
Feb 28, 2024 · In this paper, we propose a novel object aroused emotion analysis network to realize image sentiment classification by investigating the interactions between ...
Bibliographic details on Visual Sentiment Analysis with Local Object Regions Attention.